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  • English  (215)
  • Boston, MA : Safari  (131)
  • Birmingham, UK : Packt Publishing  (84)
  • Audiobooks ; local  (124)
  • Data mining  (91)
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  • 1
    Online Resource
    Online Resource
    Principles of data science : a beginner's guide to essential math and coding skills for data fluency and machine learning (2024)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781837636303
    Language: English
    Pages: 1 online resource (326 pages) , illustrations
    Edition: Third edition.
    DDC: 005.75/65
    Keywords: Data mining ; Quantitative research
    Abstract: Transform your data into insights with must-know techniques and mathematical concepts to unravel the secrets hidden within your data Key Features Learn practical data science combined with data theory to gain maximum insights from data Discover methods for deploying actionable machine learning pipelines while mitigating biases in data and models Explore actionable case studies to put your new skills to use immediately Purchase of the print or Kindle book includes a free PDF eBook Book Description Principles of Data Science bridges mathematics, programming, and business analysis, empowering you to confidently pose and address complex data questions and construct effective machine learning pipelines. This book will equip you with the tools to transform abstract concepts and raw statistics into actionable insights. Starting with cleaning and preparation, you'll explore effective data mining strategies and techniques before moving on to building a holistic picture of how every piece of the data science puzzle fits together. Throughout the book, you'll discover statistical models with which you can control and navigate even the densest or the sparsest of datasets and learn how to create powerful visualizations that communicate the stories hidden in your data. With a focus on application, this edition covers advanced transfer learning and pre-trained models for NLP and vision tasks. You'll get to grips with advanced techniques for mitigating algorithmic bias in data as well as models and addressing model and data drift. Finally, you'll explore medium-level data governance, including data provenance, privacy, and deletion request handling. By the end of this data science book, you'll have learned the fundamentals of computational mathematics and statistics, all while navigating the intricacies of modern ML and large pre-trained models like GPT and BERT. What you will learn Master the fundamentals steps of data science through practical examples Bridge the gap between math and programming using advanced statistics and ML Harness probability, calculus, and models for effective data control Explore transformative modern ML with large language models Evaluate ML success with impactful metrics and MLOps Create compelling visuals that convey actionable insights Quantify and mitigate biases in data and ML models Who this book is for If you are an aspiring novice data scientist eager to expand your knowledge, this book is for you. Whether you have basic math skills and want to apply them in the field of data science, or you excel in programming but lack the necessary mathematical foundations, you'll find this book useful. Familiarity with Python programming will further enhance your learning experience.
    Note: Includes index
    URL: lizenzpflichtig
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  • 2
    Online Resource
    Online Resource
    Learning Data Science (2023)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (70 pages)
    Edition: 1st edition
    DDC: 004
    Keywords: Information technology ; Information retrieval ; Databases ; Data mining ; Electronic books
    Abstract: As an aspiring data scientist, you appreciate why organizations rely on data for important decisions--whether it's for companies designing websites, cities deciding how to improve services, or scientists discovering how to stop the spread of disease. And you want the skills required to distill a messy pile of data into actionable insights. We call this the data science lifecycle: the process of collecting, wrangling, analyzing, and drawing conclusions from data. Learning Data Science is the first book to cover foundational skills in both programming and statistics that encompass this entire lifecycle. It's aimed at those who wish to become data scientists or who already work with data scientists, and at data analysts who wish to cross the "technical/nontechnical" divide. If you have a basic knowledge of Python programming, you'll learn how to work with data using industry-standard tools like pandas. Refine a question of interest to one that can be studied with data Pursue data collection that may involve text processing, web scraping, etc. Glean valuable insights about data through data cleaning, exploration, and visualization Learn how to use modeling to describe the data Generalize findings beyond the data
    Note: Online resource; Title from title page (viewed May 25, 2023) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    Online Resource
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  • 3
    Online Resource
    Online Resource
    Fundamentals of Data Engineering (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (82 pages)
    Edition: 1st edition
    DDC: 004.6782
    Keywords: Database management ; Big data ; Data mining ; Data Mining ; Electronic books ; Données volumineuses ; Exploration de données (Informatique) ; Big data ; Data mining ; Database management ; Bases de données ; Gestion
    Abstract: Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available in the framework of the data engineering lifecycle. Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You'll understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, governance, and deployment that are critical in any data environment regardless of the underlying technology. This book will help you: Assess data engineering problems using an end-to-end data framework of best practices Cut through marketing hype when choosing data technologies, architecture, and processes Use the data engineering lifecycle to design and build a robust architecture Incorporate data governance and security across the data engineering lifecycle
    Note: Online resource; Title from title page (viewed September 25, 2022) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 4
    Online Resource
    Online Resource
    SQL for data analytics : harness the power of SQL to extract insights from data (2022)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781801812870
    Language: English
    Pages: 1 online resource (540 pages) , illustrations
    Edition: Third edition.
    DDC: 005.13/3
    Keywords: SQL (Computer program language) ; Data mining ; Electronic books
    Abstract: Every day, businesses operate around the clock, and a huge amount of data is generated at a rapid pace. This book helps you analyze this data and identify key patterns and behaviors that can help you and your business understand your customers at a deep, fundamental level. SQL for Data Analytics, Third Edition is a great way to get started with data analysis, showing how to effectively sort and process information from raw data, even without any prior experience. You will begin by learning how to form hypotheses and generate descriptive statistics that can provide key insights into your existing data. As you progress, you will learn how to write SQL queries to aggregate, calculate, and combine SQL data from sources outside of your current dataset. You will also discover how to work with advanced data types, like JSON. By exploring advanced techniques, such as geospatial analysis and text analysis, you will be able to understand your business at a deeper level. Finally, the book lets you in on the secret to getting information faster and more effectively by using advanced techniques like profiling and automation. By the end of this book, you will be proficient in the efficient application of SQL techniques in everyday business scenarios and looking at data with the critical eye of analytics professional.
    URL: lizenzpflichtig
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  • 5
    Online Resource
    Online Resource
    Advanced Analytics with PySpark (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    ISBN: 9781098103620 , 1098103629
    Language: English
    Pages: 1 online resource (41 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als
    DDC: 006.3/12
    Keywords: SPARK (Electronic resource) ; Python (Computer program language) ; Data mining ; Electronic books ; local ; Electronic books ; Data mining ; Python (Computer program language) ; SPARK (Electronic resource)
    Abstract: The amount of data being generated today is staggering. And growing. Apache Spark has emerged as the de facto tool to analyze big data and is now a critical part of the data science toolbox. Updated for Spark 3.0, this practical guide brings together Spark, statistical methods, and real-world datasets to teach you how to approach analytics problems using PySpark, Spark's Python API, and other best practices in Spark programming. Data scientists Akash Tandon, Sandy Ryza, Uri Laserson, Sean Owen, and Josh Wills offer an introduction to the Spark ecosystem, then dive into patterns that apply common techniques--including classification, clustering, collaborative filtering, and anomaly detection--to fields such as genomics, security, and finance. This updated edition also covers NLP and image processing. If you have a basic understanding of machine learning and statistics and you program in Python, this book will get you started with large-scale data analysis. Familiarize yourself with Spark's programming model and ecosystem Learn general approaches in data science Examine complete implementations that analyze large public datasets Discover which machine learning tools make sense for particular problems Explore code that can be adapted to many uses
    Note: Online resource; Title from title page (viewed April 25, 2022) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    URL: Inhaltsverzeichnis
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  • 6
    Online Resource
    Online Resource
    Python for Data Analysis, 3rd Edition (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (60 pages)
    Edition: 3rd edition
    Parallel Title: Erscheint auch als
    DDC: 006.3/12
    Keywords: Data mining ; Python (Computer program language) ; Electronic books ; local ; Electronic books
    Abstract: Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.9 and pandas 1.2, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You�?�¢??ll learn the latest versions of pandas, NumPy, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It�?�¢??s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the Jupyter notebook and IPython shell for exploratory computing Learn basic and advanced features in NumPy Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples
    Note: Online resource; Title from title page (viewed September 25, 2022) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 7
    Online Resource
    Online Resource
    NIST Cybersecurity Framework - A pocket guide (2020)
    [Erscheinungsort nicht ermittelbar] : IT Governance Publishing | Boston, MA : Safari
    Details
    ISBN: 9781787782396
    Language: English
    Pages: 1 online resource (4949 pages)
    Edition: 1st edition
    Keywords: Audiobooks ; local
    Abstract: The NIST CSF is a framework for organizations to manage and mitigate cybersecurity risk based on existing standards, guidelines, and practices.
    Note: Online resource; Title from title page (viewed July 27, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 8
    Online Resource
    Online Resource
    ISO 27001 Controls - A guide to implementing and auditing (2020)
    [Erscheinungsort nicht ermittelbar] : IT Governance Publishing | Boston, MA : Safari
    Details
    ISBN: 9781787782402
    Language: English
    Pages: 1 online resource (21989 pages)
    Edition: 1st edition
    Keywords: Audiobooks ; local
    Abstract: Ideal for information security managers, auditors, consultants and organisations preparing for ISO 27001 certification, this book will help readers understand the requirements of an ISMS (information security management system) based on ISO 27001.
    Note: Online resource; Title from title page (viewed August 5, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 9
    Online Resource
    Online Resource
    The Art of Leadership (Audio Book) (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 5 hr., 40 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Audiobooks ; local
    Abstract: Many people think leadership is a higher calling that resides exclusively with managers who practice or follow big compelling leadership philosophies. But what's most important for leadership is principled consistency, because small things done well time and again without fail build trust and respect within a team. Using stories from his time at Netflix, Apple, and Slack, Michael Lopp presents a series of practices to help you build leadership skills. You'll learn how to create teams that are highly productive, highly respected, and highly trusted. Lopp has been speaking and writing about this topic for over a decade. He maintains a Slack channel with nearly 12000 members. In this practical audio book, Lopp illustrates the leadership skills he learned from exceptional leaders at three dynamic companies: Act I: As a manager under James Barksdale at Netflix Act II: As a senior manager/director under Steve Jobs at Apple Act III: As an executive with Stewart Butterfield at Slack
    Note: Online resource; Title from title screen (viewed June 26, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 10
    Online Resource
    Online Resource
    The Software Architect Elevator (Audio Book) (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 11 hr., 5 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Audiobooks ; local
    Abstract: As the digital economy changes the rules of the game for enterprises, the role of software and IT architects is also transforming. Rather than focus on technical decisions alone, architects and senior technologists need to combine organizational and technical knowledge to effect change in their company's structure and processes. To accomplish that, they need to connect the IT engine room to the penthouse, where the business strategy is defined. In this guide, author Gregor Hohpe shares real-world advice and hard-learned lessons from actual IT transformations. His anecdotes help architects, senior developers, and other IT professionals prepare for a more complex but rewarding role in the enterprise. This book is ideal for: Software architects and senior developers looking to shape the company's technology direction or assist in an organizational transformation Enterprise architects and senior technologists searching for practical advice on how to navigate technical and organizational topics CTOs and senior technical architects who are devising an IT strategy that impacts the way the organization works IT managers who want to learn what's worked and what hasn't in large-scale transformation
    Note: Online resource; Title from title screen (viewed August 25, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 11
    Online Resource
    Online Resource
    Lean AI (Audio Book) (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 7 hr., 44 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Audiobooks ; local
    Abstract: How can startups successfully scale customer acquisition and revenue growth with a Lean team? Out-of-the-box acquisition solutions from Facebook, Google, and others provide a good start, but the companies that can tailor those solutions to meet their specific needs, objectives, and goals will come out winners. But that hasn't been an easy task-until now. With this practical book, author Lomit Patel shows you how to use AI and automation to provide an operational layer atop those acquisition solutions to deliver amazing results for your company. You'll learn how to adapt, customize, and personalize cross-channel user journeys to help your company attract and retain customers-to usher in the new age of Autonomous Marketing. Learn how AI and automation can support the customer acquisition efforts of a Lean Startup Dive into Customer Acquisition 3.0, an initiative for gaining and retaining customers Explore ways to use AI for marketing purposes Understand the key metrics for determining the growth of your startup Determine the right strategy to foster user acquisition in your company Manage the increased complexity and risk inherent in AI projects
    Note: Online resource; Title from title screen (viewed April 30, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 12
    Online Resource
    Online Resource
    Dynamic Reteaming, 2E (Audio Book) (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (32798 pages)
    Edition: 1st edition
    Keywords: Audiobooks ; local
    Abstract: Your team will change whether you like it or not. People will come and go. Your company might double in size or even be acquired. In this practical book, author Heidi Helfand shares techniques for reteaming effectively. Engineering leaders will learn how to catalyze team change to reduce the risk of attrition, learning and career stagnation, and the development of knowledge silos. Based on research into well-known software companies, the patterns in this book help CTOs and team managers effectively integrate new hires into an existing team, manage a team that has lost members, or deal with unexpected change. You’ll learn how to isolate teams for focused innovation, rotate team members for knowledge sharing, break through organizational apathy, and more. You’ll explore: Real-world examples that demonstrate why and how organizations reteam Five reteaming patterns: One by One, Grow and Split, Isolation, Merging, and Switching Tactics to help you master dynamic reteaming in your company Stories that demonstrate problems caused by reteaming anti-patterns
    Note: Online resource; Title from title page (viewed October 19, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 13
    Online Resource
    Online Resource
    Product Research Rules (Audio Book) (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (28180 pages)
    Edition: 1st edition
    Keywords: Audiobooks ; local
    Abstract: Digital product research doesn’t have to be difficult, take a long time, or cost a lot of money. Nor should it be a job solely for scientists or expert researchers. In this practical book, C. Todd Lombardo and Aras Bilgen demonstrate how your entire team can conduct effective product research within a couple of weeks—easily, cheaply, and without compromising quality. Drawing from decades of experience in product development, the authors lay out nine simple rules that combine user research, market research, and product analytics to quickly discover insights and build products customers truly need. Recognize and avoid common research pitfalls Switch to the insight-making mindset that underlies all successful research efforts Find out how to look at data, formulate the right questions, and pick the right research method Learn interview techniques and research skills Analyze for insights collaboratively while avoiding bias Inspire action with your insights through powerful presentations and prototypes Learn how to involve a wide variety of stakeholders in research, from developers to executives Discover how you can make research a habit, not a one-off effort
    Note: Online resource; Title from title page (viewed December 7, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 14
    Online Resource
    Online Resource
    Python Workout (Audiobook) (2020)
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (27302 pages)
    Edition: 1st edition
    Keywords: Audiobooks ; local
    Abstract: Whether you’re a Python novice or, like me, have been away from the language for a while, this book is a great way to build strength with Python. Mark Elston, Advantest America The only way to master a skill is to practice. In Python Workout , author Reuven M. Lerner guides you through 50 carefully selected exercises that invite you to flex your programming muscles. As you take on each new challenge, you'll build programming skill and confidence. The thorough explanations help you lock in what you've learned and apply it to your own projects. Along the way, Python Workout provides over four hours of screencasts walking you through the solutions to each exercise and dozens of additional exercises for you to try on your own. about the technology To become a champion Python programmer you need to work out, building mental muscle with your hands on the keyboard. Each carefully selected exercise in this unique book adds to your Python prowess—one important skill at a time. about the book Python Workout presents 50 exercises that focus on key Python 3 features. In it, expert Python coach Reuven M. Lerner guides you through a series of small projects, practicing the skills you need to tackle everyday tasks. You'll appreciate the clear explanations of each technique, and you can watch Reuven solve each exercise in the screencasts. what's inside 50 hands-on exercises and solutions Coverage of all Python data types Dozens more bonus exercises for extra practice about the audience Requires basic Python knowledge. about the author Reuven M. Lerner teaches Python and data science to companies around the world. A practical introduction to the Python programming language, built around fun and well-chosen exercises. Jens Christian Bredahl Madsen, Systematic The practical course you need to become fluent in Pythonic programming! Jean-François Morin, Laval University This book pulls back the layers and allows you to master Python. Jeff Smith, Agilify Automation NARRATED BY MARK THOMAS
    Note: Online resource; Title from title page (viewed July 2, 2020) , Mode of access: World Wide Web.
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  • 15
    Online Resource
    Online Resource
    Articulating Design Decisions, 2nd Edition (Audio Book) (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (27755 pages)
    Edition: 1st edition
    Keywords: Audiobooks ; local
    Abstract: Talking to people about your designs might seem like a basic skill, but it can be difficult to do well. In many cases, how you communicate with stakeholders, clients, and other nondesigners may be more important than the designs themselves. Because if you can’t get their support, your work will never see the light of day—no matter how good it is. This practical guide focuses on principles, tactics, and actionable methods for presenting your designs. Whether you design apps, websites, or products, you’ll learn how to get support from people who have influence over the project with the goal of creating the best user experience. Walk through the process of preparing and presenting your designs Understand stakeholder perspectives and learn how to empathize with them Cultivate both implicit and explicit listening skills Learn tactics and strategies for expressing the most effective response to feedback Create the right documentation for your decisions to avoid repeated conversations Learn why following through is just as important as the meeting itself
    Note: Online resource; Title from title page (viewed October 6, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 16
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    Online Resource
    Making a Success of Managing and Working Remotely (2020)
    [Erscheinungsort nicht ermittelbar] : IT Governance Publishing | Boston, MA : Safari
    Details
    ISBN: 9781787782419
    Language: English
    Pages: 1 online resource (6322 pages)
    Edition: 1st edition
    Keywords: Audiobooks ; local
    Abstract: This book will help managers and team members alike who are about to or have already started working remotely. It will enable managers to comprehend the challenges of managing remote workers and put strategies in place to overcome these, and will advise employees how to approach their work when doing so remotely.
    Note: Online resource; Title from title page (viewed December 18, 2020) , Mode of access: World Wide Web.
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  • 17
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    Online Resource
    Operations Anti-patterns, DevOps Solutions (Audiobook) (2020)
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (48639 pages)
    Edition: 1st edition
    Keywords: Audiobooks ; local
    Abstract: Very practical approach to patterns and practices for DevOps! Foster Haines, J2 Interactive Operations Anti-Patterns, DevOps Solutions shows how to implement DevOps techniques in the kind of imperfect environments most developers work in. Part technology tutorial, part reference manual, and part psychology handbook, this practical guide shows you realistic ways to bring DevOps to your team when you don't have the flexibility to make sweeping changes in organizational structure. about the technology To some extent, all organizations—even yours—suffer from poor development practices, garbled communications, and outdated legacy systems. The good news is DevOps can help you improve your processes. First, however, you'll need to recognize the core issues holding you back. This book empowers you to deliver DevOps with limited resources while navigating the office politics and entrenched mindsets that are all too common in actual workplaces. about the book Operations Anti-Patterns, DevOps Solutions offers clear steps for transforming development and communication. Using jargon-free language, this book describes incremental techniques that pay off immediately. Streamline your workflow, manage unplanned time, and build operational metrics. Whatever your issues, this book holds the keys to organizational success. what's inside Turn failure into opportunity Drive change through culture Break down knowledge silos Settle middle management turf wars about the audience For team leaders and managers. about the author Jeffery D. Smith has been in the technology industry for over 15 years. He has managed DevOps transformations at the ad-tech firm Centro and the online ordering platform Grubhub. A pragmatic guide to adopting DevOps practices progressively in every organization. Zhuo Hong Wei, Indeed A comprehensive guide to getting started with DevOps and integrating this culture in your company in the right manner. Roman Levchenko, Microsoft Azure MVP A truly inspiring book with real-world use cases and solutions. Really helpful for managers and technical leaders who want to drive change in their company. Michele Adduci, OpenLimit SignCubes GmbH NARRATED BY JULIE BRIERLEY
    Note: Online resource; Title from title page (viewed October 31, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 18
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    Online Resource
    Micro Frontends in Action (Audiobook) (2020)
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (33201 pages)
    Edition: 1st edition
    Keywords: Audiobooks ; local
    Abstract: You can base your Micro Frontends directly off the examples in the book! Barnaby Norman, Frontend Developer Browser-based software can quickly become complex and difficult to maintain, especially when it's implemented as a large single-page application. By adopting the micro frontends approach and designing your web apps as systems of features, you can deliver faster feature development, easier upgrades, and pick and choose the technology you use in your stack. Micro Frontends in Action is your guide to simplifying unwieldy frontends by composing them from small, well-defined units. about the technology Micro frontends deliver the same flexibility and maintainability to browser-based applications that microservices provide for backend systems. You design your project as a set of standalone components that include their own interfaces, logic, and storage. Then you develop these mini-applications independently and compose them in the browser. about the book Micro Frontends in Action teaches you to apply the microservices approach to the frontend. You’ll start with the core micro frontend design ideas. Then, you'll build an e-commerce application, working through practical issues like server-side and client-side composition, routing, and maintaining a consistent look and feel. Finally, you'll explore team workflow patterns that maximize the benefit of developing application components independently. what's inside Create a unified frontend from independent applications Combine JavaScript code from multiple frameworks Browser and server-side composition and routing Implement effective dev teams and project workflow about the audience For web developers, software architects, and team leaders. about the author Michael Geers is a software developer specializing in building user interfaces. An excellent starting point to understand how to introduce micro frontends in your projects. Potito Coluccelli Expert practical advice for robust frontend development. The final piece of the micro puzzle! Adail Retamal, Cubic Transportation Systems A very concise and logically structured introduction to implementing a micro frontends team infrastructure. Tanya Wilke, Sanlam A definitive guide for applying micro frontends architecture to any existing UI technology. Karthikeyarajan Rajendran, Johnson Controls India NARRATED BY SARAH DAWE
    Note: Online resource; Title from title page (viewed August 25, 2020) , Mode of access: World Wide Web.
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  • 19
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    Online Resource
    ISO22301 - A Pocket Guide (2019)
    [Erscheinungsort nicht ermittelbar] : IT Governance Publishing | Boston, MA : Safari
    Details
    ISBN: 9781787781016
    Language: English
    Pages: 1 online resource (3467 pages)
    Edition: 1st edition
    Keywords: Audiobooks ; local
    Abstract: This pocket guide provides an easy-to-read and straightforward introduction to the subjects of business continuity and ISO22301. If your organisation is implementing, or considering implementing, an ISO22301 business continuity management system (BCMS), then you need to read this pocket guide.
    Note: Online resource; Title from title page (viewed October 2, 2019)
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    Product Roadmaps Relaunched (Audio Book) (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (21944 pages)
    Edition: 1st edition
    Keywords: Audiobooks ; local
    Abstract: A good product roadmap is one of the most important and influential documents an organization can develop, publish, and continuously update. In fact, this one document can steer an entire organization when it comes to delivering on company strategy. This practical guide teaches you how to create an effective product roadmap, and demonstrates how to use the roadmap to align stakeholders and prioritize ideas and requests. With it, you’ll learn to communicate how your products will make your customers and organization successful. Whether you're a product manager, product owner, business analyst, program manager, project manager, scrum master, lead developer, designer, development manager, entrepreneur, or business owner, this audio book will show you how to: Articulate an inspiring vision and goals for your product Prioritize ruthlessly and scientifically Protect against pursuing seemingly good ideas without evaluation and prioritization Ensure alignment with stakeholders Inspire loyalty and over­-delivery from your team Get your sales team working with you instead of against you Bring a user­ and buyer-­centric approach to planning and decision-making Anticipate opportunities and stay ahead of the game Publish a comprehensive roadmap without over­committing
    Note: Online resource; Title from title page (viewed March 28, 2019)
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  • 21
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    Making Things Happen (Audio Book) (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (56642 pages)
    Edition: 1st edition
    Keywords: Audiobooks ; local
    Abstract: In the updated edition of this critically acclaimed and bestselling book, Microsoft project veteran Scott Berkun offers a collection of essays on field-tested philosophies and strategies for defining, leading, and managing projects. Each essay distills complex concepts and challenges into practical nuggets of useful advice, and the new edition now adds more value for leaders and managers of projects everywhere. Based on his nine years of experience as a program manager for Internet Explorer, and lead program manager for Windows and MSN, Berkun explains to technical and non-technical readers alike what it takes to get through a large software or web development project. Making Things Happen doesn't cite specific methods, but focuses on philosophy and strategy. Unlike other project management books, Berkun offers personal essays in a comfortable style and easy tone that emulate the relationship of a wise project manager who gives good, entertaining and passionate advice to those who ask. Topics in this new edition include: How to make things happen Making good decisions Specifications and requirements Ideas and what to do with them How not to annoy people Leadership and trust The truth about making dates What to do when things go wrong Complete with a new forward from the author and a discussion guide for forming reading groups/teams, Making Things Happen offers in-depth exercises to help you apply lessons from the audio book to your job. It is inspiring, funny, honest, and compelling, and definitely the one audio book that you and your team need to have within arm's reach throughout the life of your project. Coming from the rare perspective of someone who fought difficult battles on Microsoft's biggest projects and taught project design and management for MSTE, Microsoft's internal best practices group, this is valuable advice indeed. It will serve you well with your current work, and on future projects to come.
    Note: Online resource; Title from title page (viewed May 13, 2019)
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    Lean Enterprise (Audio Book) (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (38644 pages)
    Edition: 1st edition
    Keywords: Audiobooks ; local
    Abstract: How well does your organization respond to changing market conditions, customer needs, and emerging technologies when building software-based products? This practical guide presents Lean and Agile principles and patterns to help you move fast at scale—and demonstrates why and how to apply these methodologies throughout your organization, rather than with just one department or team. Through case studies, you’ll learn how successful enterprises have rethought everything from governance and financial management to systems architecture and organizational culture in the pursuit of radically improved performance. Adopting Lean will take time and commitment, but it’s vital for harnessing the cultural and technical forces that are accelerating the rate of innovation. Discover how Lean focuses on people and teamwork at every level, in contrast to traditional management practices Approach problem-solving experimentally, by exploring solutions, testing assumptions, and getting feedback from real users Lead and manage large-scale programs in a way that empowers employees, increases the speed and quality of delivery, and lowers costs Learn how to implement ideas from the DevOps and Lean Startup movements even in complex, regulated environments
    Note: Online resource; Title from title page (viewed March 8, 2019)
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  • 23
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    Hands-on business intelligence with Qlik Sense : implement self-service data analytics with insights and guidance from Qlik Sense experts (2019)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781789800593 , 1789800595
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Management information systems ; Business intelligence ; Computer programs ; Information visualization ; Data mining ; Electronic books ; Electronic books ; local
    Abstract: Create dynamic dashboards to bring interactive data visualization to your enterprise using Qlik Sense Key Features Implement various Qlik Sense features to create interactive dashboards Analyze data easily and make business decisions faster using Qlik Sense Perform self-service data analytics and geospatial analytics using an example-based approach Book Description Qlik Sense allows you to explore simple-to-complex data to reveal hidden insights and data relationships to make business-driven decisions. Hands-On Business Intelligence with Qlik Sense begins by helping you get to grips with underlying Qlik concepts and gives you an overview of all Qlik Sense's features. You will learn advanced modeling techniques and learn how to analyze the data loaded using a variety of visualization objects. You'll also be trained on how to share apps through Qlik Sense Enterprise and Qlik Sense Cloud and how to perform aggregation with AGGR. As you progress through the chapters, you'll explore the stories feature to create data-driven presentations and update an existing story. This book will guide you through the GeoAnalytics feature with the geo-mapping object and GeoAnalytics connector. Furthermore, you'll learn about the self-service analytics features and perform data forecasting using advanced analytics. Lastly, you'll deploy Qlik Sense apps for mobile and tablet. By the end of this book, you will be well-equipped to run successful business intelligence applications using Qlik Sense's functionality, data modeling techniques, and visualization best practices. What you will learn Discover how to load, reshape, and model data for analysis Apply data visualization practices to create stunning dashboards Make use of Python and R for advanced analytics Perform geo-analysis to create visualizations using native objects Learn how to work with AGGR and data stories Who this book is for If you're a data analyst, BI developer, or interested in business intelligence and want to gain practical experience of working on Qlik Sense, this book is for you. You'll also find it useful if you want to explore Qlik Sense's next-generation applications for self-service business intelligence. No prior experience of working with Qlik Sense is required.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed April 18, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781789800944/?ar
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  • 24
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    Go web scraping quick start guide : implement the power of Go to scrape and crawl data from the web (2019)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781789612943 , 1789612942
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Go (Computer program language) ; Data mining ; Internet searching ; Data processing ; Electronic books ; Electronic books ; local
    Abstract: Learn how some Go-specific language features help to simplify building web scrapers along with common pitfalls and best practices regarding web scraping. Key Features Use Go libraries like Goquery and Colly to scrape the web Common pitfalls and best practices to effectively scrape and crawl Learn how to scrape using the Go concurrency model Book Description Web scraping is the process of extracting information from the web using various tools that perform scraping and crawling. Go is emerging as the language of choice for scraping using a variety of libraries. This book will quickly explain to you, how to scrape data data from various websites using Go libraries such as Colly and Goquery. The book starts with an introduction to the use cases of building a web scraper and the main features of the Go programming language, along with setting up a Go environment. It then moves on to HTTP requests and responses and talks about how Go handles them. You will also learn about a number of basic web scraping etiquettes. You will be taught how to navigate through a website, using a breadth-first and then a depth-first search, as well as find and follow links. You will get to know about the ways to track history in order to avoid loops and to protect your web scraper using proxies. Finally the book will cover the Go concurrency model, and how to run scrapers in parallel, along with large-scale distributed web scraping. What you will learn Implement Cache-Control to avoid unnecessary network calls Coordinate concurrent scrapers Design a custom, larger-scale scraping system Scrape basic HTML pages with Colly and JavaScript pages with chromedp Discover how to search using the "strings" and "regexp" packages Set up a Go development environment Retrieve information from an HTML document Protect your web scraper from being blocked by using proxies Control web browsers to scrape JavaScript sites Who this book is for Data scientists, and web developers with a basic knowledge of Golang wanting to collect web data and analyze them for effective reporting and visualization.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781789615708/?ar
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  • 25
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    Applied unsupervised learning with R (2019)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781789951462 , 1789951461
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: R (Computer program language) ; Machine learning ; Data mining ; Electronic books ; Electronic books ; local
    Abstract: Design clever algorithms that discover hidden patterns and draw responses from unstructured, unlabeled data. Key Features Build state-of-the-art algorithms that can solve your business' problems Learn how to find hidden patterns in your data Revise key concepts with hands-on exercises using real-world datasets Book Description Starting with the basics, Applied Unsupervised Learning with R explains clustering methods, distribution analysis, data encoders, and features of R that enable you to understand your data better and get answers to your most pressing business questions. This book begins with the most important and commonly used method for unsupervised learning - clustering - and explains the three main clustering algorithms - k-means, divisive, and agglomerative. Following this, you'll study market basket analysis, kernel density estimation, principal component analysis, and anomaly detection. You'll be introduced to these methods using code written in R, with further instructions on how to work with, edit, and improve R code. To help you gain a practical understanding, the book also features useful tips on applying these methods to real business problems, including market segmentation and fraud detection. By working through interesting activities, you'll explore data encoders and latent variable models. By the end of this book, you will have a better understanding of different anomaly detection methods, such as outlier detection, Mahalanobis distances, and contextual and collective anomaly detection. What you will learn Implement clustering methods such as k-means, agglomerative, and divisive Write code in R to analyze market segmentation and consumer behavior Estimate distribution and probabilities of different outcomes Implement dimension reduction using principal component analysis Apply anomaly detection methods to identify fraud Design algorithms with R and learn how to edit or improve code Who this book is for Applied Unsupervised Learning with R is designed for business professionals who want to learn about methods to understand their data better, and developers who have an interest in unsupervised learning. Although the book is for beginners, it will be beneficial to have some basic, beginner-level familiarity with R. This includes an understanding of how to open the R console, how to read data, and how to create a loop. To easily understand the concepts of this book, you should also know basic mathematical concepts, including ex...
    Note: Includes bibliographical references. - Description based on online resource; title from copyright page (Safari, viewed May 15, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781789956399/?ar
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    Kibana 7 quick start guide : visualize your Elasticsearch data with ease (2019)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781789808490 , 1789808499
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Information visualization ; Data mining ; Electronic books ; Electronic books ; local
    Abstract: A quick start guide to visualize your Elasticsearch data Key Features Your hands-on guide to visualizing the Elasticsearch data as well as navigating the Elastic stack Work with different Kibana plugins and create effective machine learning jobs using Kibana Build effective dashboards and reports without any hassle Book Description The Elastic Stack is growing rapidly and, day by day, additional tools are being added to make it more effective. This book endeavors to explain all the important aspects of Kibana, which is essential for utilizing its full potential. This book covers the core concepts of Kibana, with chapters set out in a coherent manner so that readers can advance their learning in a step-by-step manner. The focus is on a practical approach, thereby enabling the reader to apply those examples in real time for a better understanding of the concepts and to provide them with the correct skills in relation to the tool. With its succinct explanations, it is quite easy for a reader to use this book as a reference guide for learning basic to advanced implementations of Kibana. The practical examples, such as the creation of Kibana dashboards from CSV data, application RDBMS data, system metrics data, log file data, APM agents, and search results, can provide readers with a number of different drop-off points from where they can fetch any type of data into Kibana for the purpose of analysis or dashboarding. What you will learn Explore how Logstash is configured to fetch CSV data Understand how to create index patterns in Kibana Become familiar with how to apply filters on data Discover how to create ML jobs Explore how to analyze APM data from APM agents Get to grips with how to save, share, inspect, and edit visualizations Understand how to find an anomaly in data Who this book is for Kibana 7 Quick Start Guide is for developers new to Kibana who want to learn the fundamentals of using the tool for visualization, as well as existing Elastic developers.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 26, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781789804034/?ar
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    Lean Analytics (Audio Book) (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (44308 pages)
    Edition: 1st edition
    Keywords: Audiobooks ; local
    Abstract: Marc Andreesen once said that "markets that don't exist don't care how smart you are." Whether you're a startup founder trying to disrupt an industry, or an entrepreneur trying to provoke change from within, your biggest risk is building something nobody wants. Lean Analytics can help. By measuring and analyzing as you grow, you can validate whether a problem is real, find the right customers, and decide what to build, how to monetize it, and how to spread the word. Focusing on the One Metric That Matters to your business right now gives you the focus you need to move ahead—and the discipline to know when to change course. Written by Alistair Croll and Ben Yoskovitz, the book lays out practical, proven steps to take your startup from initial idea to product/market fit and beyond. Packed with over 30 case studies, and based on a year of interviews with over a hundred founders and investors, the book is an invaluable, practical guide for Lean Startup practitioners everywhere.
    Note: Online resource; Title from title page (viewed February 26, 2019)
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    Technology Strategy Patterns (Audio Book) (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 9 hr., 19 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Audiobooks ; local
    Abstract: Technologists who want their ideas heard, understood, and funded are often told to speak the language of business—without really knowing what that is. This book’s toolkit provides architects, product managers, technology managers, and executives with a shared language—in the form of repeatable, practical patterns and templates—to produce great technology strategies. Author Eben Hewitt developed 39 patterns over the course of a decade in his work as CTO, CIO, and chief architect for several global tech companies. With these proven tools, you can define, create, elaborate, refine, and communicate your architecture goals, plans, and approach in a way that executives can readily understand, approve, and execute. This book covers: Architecture and strategy: Adopt a strategic architectural mindset to make a meaningful material impact Creating your strategy: Define the components of your technology strategy using proven patterns Communicating the strategy: Convey your technology strategy in a compelling way to a variety of audiences Bringing it all together: Employ patterns individually or in clusters for specific problems; use the complete framework for a comprehensive strategy
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Nine Steps to Success - An ISO27001:2013 Implementation Overview (2019)
    [Erscheinungsort nicht ermittelbar] : IT Governance Publishing | Boston, MA : Safari
    Details
    ISBN: 9781787780873
    Language: English
    Pages: 1 online resource (10735 pages)
    Edition: 1st edition
    Keywords: Audiobooks ; local
    Abstract: Aligned with the latest iteration of the Standard – ISO 27001:2013 – this new edition of the original no-nonsense guide to successful ISO 27001 certification is ideal for anyone tackling ISO 27001 for the first time, and covers each element of the ISO 27001 project in simple, non-technical language
    Note: Online resource; Title from title page (viewed October 2, 2019)
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    Escaping the Build Trap (Audio Book) (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (20778 pages)
    Edition: 1st edition
    Keywords: Audiobooks ; local
    Abstract: This audio book is for Product Managers of all levels (including the VP level) who understand that if companies want to remain innovative in today’s market, they have to adopt a culture of learning and customer-centric practices that are focused on outcomes over outputs. This audio book provides Product Managers with a practical process and a toolbox of product management principles that can be applied to any company, big or small, and will help them produce real positive results. They will learn how to overcome product development roadblocks, the secrets to communicating and collaborating within a company structure, and how to build products that benefit both the business and the customer.
    Note: Online resource; Title from title page (viewed April 15, 2019)
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    ITIL® Foundation Essentials – ITIL 4 Edition (2019)
    [Erscheinungsort nicht ermittelbar] : IT Governance Publishing | Boston, MA : Safari
    Details
    ISBN: 9781787781665
    Language: English
    Pages: 1 online resource (4263 pages)
    Edition: 1st edition
    Keywords: Audiobooks ; local
    Abstract: All the facts you need to pass your ITIL 4 Foundation exam This is the ultimate revision guide for candidates preparing for the ITIL 4 Foundation exam. It is fully aligned with the Foundation course and gives a clear and concise overview of the facts you need to pass the exam.
    Note: Online resource; Title from title page (viewed October 23, 2019)
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  • 32
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    Data wrangling with Python (2019)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781789804249 , 1789804248
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Python (Computer program language) ; Data mining ; Electronic data processing ; Information visualization ; Electronic books ; local ; Electronic books
    Abstract: Simplify your ETL processes with these hands-on data hygiene tips, tricks, and best practices. Key Features Focus on the basics of data wrangling Study various ways to extract the most out of your data in less time Boost your learning curve with bonus topics like random data generation and data integrity checks Book Description For data to be useful and meaningful, it must be curated and refined. Data Wrangling with Python teaches you the core ideas behind these processes and equips you with knowledge of the most popular tools and techniques in the domain. The book starts with the absolute basics of Python, focusing mainly on data structures. It then delves into the fundamental tools of data wrangling like NumPy and Pandas libraries. You'll explore useful insights into why you should stay away from traditional ways of data cleaning, as done in other languages, and take advantage of the specialized pre-built routines in Python. This combination of Python tips and tricks will also demonstrate how to use the same Python backend and extract/transform data from an array of sources including the Internet, large database vaults, and Excel financial tables. To help you prepare for more challenging scenarios, you'll cover how to handle missing or wrong data, and reformat it based on the requirements from the downstream analytics tool. The book will further help you grasp concepts through real-world examples and datasets. By the end of this book, you will be confident in using a diverse array of sources to extract, clean, transform, and format your data efficiently. What you will learn Use and manipulate complex and simple data structures Harness the full potential of DataFrames and numpy.array at run time Perform web scraping with BeautifulSoup4 and html5lib Execute advanced string search and manipulation with RegEX Handle outliers and perform data imputation with Pandas Use descriptive statistics and plotting techniques Practice data wrangling and modeling using data generation techniques Who this book is for Data Wrangling with Python is designed for developers, data analysts, and business analysts who are keen to pursue a career as a full-fledged data scientist or analytics expert. Although, this book is for beginners, prior working knowledge of Python is necessary to easily grasp the concepts covered here. It will also help to have rudimentary knowledge of relational database and SQL.
    Note: Description based on online resource; title from title page (Safari, viewed April 18, 2019)
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    Unblocked (Audio Book) (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 8 hr., 37 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Audiobooks ; local
    Abstract: Imagine it's 1994 and the dawn of the internet. In many ways, it is. A growing army of pioneers is once again laying the rails for a new digital world. Like the first digital revolution, this one will also transform the way we live, work and play. It will disrupt entrenched industries. And shatter conventional business models. With so much at stake, how do you prepare? Unblocked takes you past the hype and insider speak to show you what blockchains are and how they’re poised to change our world. Blockchains are more than flexible multi-tools that hold promise to solve our most pressing digital problems including privacy risks, hacks, data misuse, fakes and fraud. Along with a family of related technologies, they are a social movement that offers an abundance of opportunity for those who know how to leverage them. Unblocked explains: Why ignoring this technology exposes you to competitive disruption What's coming in this next era—no technical background required How to prepare your organization to respond to the coming shift
    Note: Online resource; Title from title screen (viewed July 18, 2019)
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    Microservices Patterns (Audiobook) (2018)
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (66482 pages)
    Edition: 1st edition
    Keywords: Audiobooks ; local ; Audiobooks
    Abstract: "A comprehensive overview of the challenges teams face when moving to microservices, with industry-tested solutions to these problems." Tim Moore, Lightbend Microservices Patterns teaches enterprise developers and architects how to build applications with the microservice architecture. Rather than simply advocating for the use the microservice architecture, this clearly-written guide takes a balanced, pragmatic approach, exploring both the benefits and drawbacks. Successfully developing microservices-based applications requires mastering a new set of architectural insights and practices. In this unique book, microservice architecture pioneer and Java Champion Chris Richardson collects, catalogues, and explains 44 patterns that solve problems such as service decomposition, transaction management, querying, and inter-service communication. Microservices Patterns teaches you how to develop and deploy production-quality microservices-based applications. This invaluable set of design patterns builds on decades of distributed system experience, adding new patterns for writing services and composing them into systems that scale and perform reliably under real-world conditions. More than just a patterns catalog, this practical guide offers experience-driven advice to help you design, implement, test, and deploy your microservices-based application. Inside: How (and why!) to use the microservice architecture Service decomposition strategies Transaction management and querying patterns Effective testing strategies Deployment patterns This book/course is made for enterprise developers familiar with standard enterprise application architecture. Examples are in Java. Chris Richardson is a Java Champion, a JavaOne rock star, author of Manning’s POJOs in Action , and creator of the original CloudFoundry.com. Pragmatic treatment of an important new architectural landscape. Simeon Leyzerzon, Excelsior Software A solid compendium of information that will quicken your migration to this modern cloud-based architecture. John Guthrie, Dell/EMC How to understand the microservices approach, and how to use it in real life. Potito Coluccelli, Bizmatica Econocom NARRATED BY AIDEN HUMPHREYS AND LOU FERNANDEZ
    Note: Online resource; Title from title page (viewed October 27, 2018) , Mode of access: World Wide Web.
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    Pentaho data integration quick start guide : create ETL processes using Pentaho (2018)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781789342796 , 1789342791
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Data integration (Computer science) ; Data mining ; Decision support systems ; Database management ; Electronic books ; Electronic books ; local
    Abstract: Get productive quickly with Pentaho Data Integration Key Features Take away the pain of starting with a complex and powerful system Simplify your data transformation and integration work Explore, transform, and validate your data with Pentaho Data Integration Book Description Pentaho Data Integration(PDI) is an intuitive and graphical environment packed with drag and drop design and powerful Extract-Transform-Load (ETL) capabilities. Given its power and flexibility, initial attempts to use the Pentaho Data Integration tool can be difficult or confusing. This book is the ideal solution. This book reduces your learning curve with PDI. It provides the guidance needed to make you productive, covering the main features of Pentaho Data Integration. It demonstrates the interactive features of the graphical designer, and takes you through the main ETL capabilities that the tool offers. By the end of the book, you will be able to use PDI for extracting, transforming, and loading the types of data you encounter on a daily basis. What you will learn Design, preview and run transformations in Spoon Run transformations using the Pan utility Understand how to obtain data from different types of files Connect to a database and explore it using the database explorer Understand how to transform data in a variety of ways Understand how to insert data into database tables Design and run jobs for sequencing tasks and sending emails Combine the execution of jobs and transformations Who this book is for This book is for software developers, business intelligence analysts, and others involved or interested in developing ETL solutions, or more generally, doing any kind of data manipulation.
    Note: Description based on online resource; title from title page (Safari, viewed October 1, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781789343328/?ar
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    ISO27001/ISO27002:2013 (2018)
    [Erscheinungsort nicht ermittelbar] : IT Governance Publishing | Boston, MA : Safari
    Details
    ISBN: 9781787780866
    Language: English
    Pages: 1 online resource (5943 pages)
    Edition: 1st edition
    Keywords: Audiobooks ; local
    Abstract: Information security means much more than a technology solution, and requires buy-in from senior managers and the collaboration of all staff in the organisation. By looking at ISO27001 and ISO27002 together, this pocket guide gives a wider view of what it means to implement an ISO27001 ISMS.
    Note: Online resource; Title from title page (viewed October 2, 2018)
    URL: lizenzpflichtig
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  • 37
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    Implementing Splunk 7 : effective operational intelligence to transform machine-generated data into valuable business insight (2018)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781788830508 , 1788830504
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Third edition
    Parallel Title: Erscheint auch als
    Keywords: Big data Data processing ; Data mining ; Automatic data collection systems
    Note: Description based on online resource; title from title page (Safari, viewed May 3, 2018)
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: https://learning.oreilly.com/library/view/-/9781788836289/?ar
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  • 38
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    Apache Spark 2 data processing and real-time analytics : master complex big data processing, stream analytics, and machine learning with Apache (2018)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781789959918 , 1789959918
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Spark (Electronic resource : Apache Software Foundation) ; Data mining ; Big data ; Machine learning ; Electronic data processing ; Electronic books ; Electronic books ; local
    Abstract: Build efficient data flow and machine learning programs with this flexible, multi-functional open-source cluster-computing framework Key Features Master the art of real-time big data processing and machine learning Explore a wide range of use-cases to analyze large data Discover ways to optimize your work by using many features of Spark 2.x and Scala Book Description Apache Spark is an in-memory, cluster-based data processing system that provides a wide range of functionalities such as big data processing, analytics, machine learning, and more. With this Learning Path, you can take your knowledge of Apache Spark to the next level by learning how to expand Spark's functionality and building your own data flow and machine learning programs on this platform. You will work with the different modules in Apache Spark, such as interactive querying with Spark SQL, using DataFrames and datasets, implementing streaming analytics with Spark Streaming, and applying machine learning and deep learning techniques on Spark using MLlib and various external tools. By the end of this elaborately designed Learning Path, you will have all the knowledge you need to master Apache Spark, and build your own big data processing and analytics pipeline quickly and without any hassle. This Learning Path includes content from the following Packt products: Mastering Apache Spark 2.x by Romeo Kienzler Scala and Spark for Big Data Analytics by Md. Rezaul Karim, Sridhar Alla Apache Spark 2.x Machine Learning Cookbook by Siamak Amirghodsi, Meenakshi Rajendran, Broderick Hall, Shuen MeiCookbook What you will learn Get to grips with all the features of Apache Spark 2.x Perform highly optimized real-time big data processing Use ML and DL techniques with Spark MLlib and third-party tools Analyze structured and unstructured data using SparkSQL and GraphX Understand tuning, debugging, and monitoring of big data applications Build scalable and fault-tolerant streaming applications Develop scalable recommendation engines Who this book is for If you are an intermediate-level Spark developer looking to master the advanced capabilities and use-cases of Apache Spark 2.x, this Learning Path is ideal for you. Big data professionals who want to learn how to integrate and use the features of Apache Spark and build a strong big data pipeline will also find this Learning Path useful. To grasp the concepts explained in this Learning Path, you must know the fundamentals of Apache Spark and Scala.
    Note: Description based on online resource; title from title page (Safari, viewed March 15, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781789959208/?ar
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  • 39
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    Splunk 7 essentials : demystify machine data by leveraging datasets, building reports, and sharing powerful insights (2018)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781788830126 , 1788830121
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Third edition.
    Keywords: Big data ; Data mining ; Automatic data collection systems ; Electronic books ; Electronic books ; local
    Abstract: Transform machine data into powerful analytical intelligence using Splunk About This Book Analyze and visualize machine data to step into the world of Splunk! Leverage the exceptional analysis and visualization capabilities to make informed decisions for your business This easy-to-follow, practical book can be used by anyone - even if you have never managed data before Who This Book Is For This book is for the beginners who want to get well versed in the services offered by Splunk 7. If you want to be a data/business analyst or want to be a system administrator, this book is what you want. No prior knowledge of Splunk is required. What You Will Learn Install and configure Splunk for personal use Store event data in Splunk indexes, classify events into sources, and add data fields Learn essential Splunk Search Processing Language commands and best practices Create powerful real-time or user-input dashboards Be proactive by implementing alerts and scheduled reports Tips from the Fez: best practices using Splunk features and add-ons Understand security and deployment considerations for taking Splunk to an organizational level In Detail Splunk is a search, reporting, and analytics software platform for machine data, which has an ever-growing market adoption rate. More organizations than ever are adopting Splunk to make informed decisions in areas such as IT operations, information security, and the Internet of Things. The first two chapters of the book will get you started with a simple Splunk installation and set up of a sample machine data generator, called Eventgen. After this, you will learn to create various reports, dashboards, and alerts. You will also explore Splunk's Pivot functionality to model data for business users. You will then have the opportunity to test-drive Splunk's powerful HTTP Event Collector. After covering the core Splunk functionality, you'll be provided with some real-world best practices for using Splunk, and information on how to build upon what you've learned in this book. Throughout the book, there will be additional comments and best practice recommendations from a member of the SplunkTrust Community, called "Tips from the Fez". Style and approach This fast-paced, example-rich guide will help you analyze and visualize machine data with Splunk through simple, practical instructions and recommendations. Downloading the example code for this book You can download the example code files for all Packt books you have purc...
    Note: Description based on online resource; title from title page (Safari, viewed April 30, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781788839112/?ar
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  • 40
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    Hands-on big data modeling : effective database design techniques for data architects and business intelligence professionals (2018)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781788626088 , 1788626087
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Database design ; Big data ; Data mining ; Electronic books ; Electronic books ; local
    Abstract: Solve all big data problems by learning how to create efficient data models Key Features Create effective models that get the most out of big data Apply your knowledge to datasets from Twitter and weather data to learn big data Tackle different data modeling challenges with expert techniques presented in this book Book Description Modeling and managing data is a central focus of all big data projects. In fact, a database is considered to be effective only if you have a logical and sophisticated data model. This book will help you develop practical skills in modeling your own big data projects and improve the performance of analytical queries for your specific business requirements. To start with, you'll get a quick introduction to big data and understand the different data modeling and data management platforms for big data. Then you'll work with structured and semi-structured data with the help of real-life examples. Once you've got to grips with the basics, you'll use the SQL Developer Data Modeler to create your own data models containing different file types such as CSV, XML, and JSON. You'll also learn to create graph data models and explore data modeling with streaming data using real-world datasets. By the end of this book, you'll be able to design and develop efficient data models for varying data sizes easily and efficiently. What you will learn Get insights into big data and discover various data models Explore conceptual, logical, and big data models Understand how to model data containing different file types Run through data modeling with examples of Twitter, Bitcoin, IMDB and weather data modeling Create data models such as Graph Data and Vector Space Model structured and unstructured data using Python and R Who this book is for This book is great for programmers, geologists, biologists, and every professional who deals with spatial data. If you want to learn how to handle GIS, GPS, and remote sensing data, then this book is for you. Basic knowledge of R and QGIS would be helpful.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed February 4, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781788620901/?ar
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  • 41
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    Mastering Qlik Sense : expert techniques on self-service data analytics to create enterprise ready business intelligence solutions (2018)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781782174875 , 1782174877
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Management information systems ; Business intelligence ; Computer programs ; Information visualization ; Data mining ; Electronic books ; Electronic books ; local
    Abstract: Master the capabilities of Qlik Sense to design and deploy solutions that address all the Business Intelligence needs of your organization About This Book Create compelling dashboards and visualizations with your data by leveraging Qlik Sense's self-service model Perform data loading and model efficient solutions with faster performance and better governance Master Qlik Sense's APIs and develop powerful mashups and fantastic extensions for visualizations and other components that run across all platforms Who This Book Is For This book is for Business Intelligence professionals and Data Analysts who want to become experts in using Qlik Sense. If you have extensively used QlikView in the past and are looking to transition to Qlik Sense, this book will also help you. A fundamental understanding of how Qlik Sense works and its features is all you need to get started with this book. What You Will Learn Understand the importance of self-service analytics and the IKEA-effect Explore all the available data modeling techniques and create efficient and optimized data models Master security rules and translate permission requirements into security rule logic Familiarize yourself with different types of Master Key Item(MKI) and know how and when to use MKI. Script and write sophisticated ETL code within Qlik Sense to facilitate all data modeling and data loading techniques Get an extensive overview of which APIs are available in Qlik Sense and how to take advantage of a technology with an API Develop basic mashup HTML pages and deploy successful mashup projects In Detail Qlik Sense is a powerful, self-servicing Business Intelligence tool for data discovery, analytics and visualization. It allows you to create personalized Business Intelligence solutions from raw data and get actionable insights from it. This book is your one-stop guide to mastering Qlik Sense, catering to all your organizational BI needs. You'll see how you can seamlessly navigate through tons of data from multiple sources and take advantage of the various APIs available in Qlik and its components for guided analytics. You'll also learn how to embed visualizations into your existing BI solutions and extend the capabilities of Qlik Sense to create new visualizations and dashboards that work across all platforms. We also cover other advanced concepts such as porting your Qlik View applications to Qlik Sense,and working with Qlik Cloud. Finally, you'll implement enterprise-wide security and ...
    Note: Description based on online resource; title from title page (viewed March 30, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781783554027/?ar
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  • 42
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    Beginning data analysis with Python and Jupyter : use powerful industry-standard tools to unlock new, actionable insight from your existing data (2018)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781789534658 , 1789534658
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Parallel Title: Erscheint auch als
    Keywords: Python (Computer program language) ; Information visualization ; Electronic data processing ; Data mining
    Note: Description based on online resource; title from cover (Safari, viewed July 18, 2018). - Includes index
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: https://learning.oreilly.com/library/view/-/9781789532029/?ar
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  • 43
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    Splunk 7.x quick start guide : gain business data insights from operational intelligence (2018)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781789538021 , 1789538025
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Big data ; Data mining ; Automatic data collection systems ; Electronic data processing ; Electronic books ; Electronic books ; local
    Abstract: Learn how to architect, implement, and administer a complex Splunk Enterprise environment and extract valuable insights from business data. Key Features Understand the various components of Splunk and how they work together to provide a powerful Big Data analytics solution. Collect and index data from a wide variety of common machine data sources Design searches, reports, and dashboard visualizations to provide business data insights Book Description Splunk is a leading platform and solution for collecting, searching, and extracting value from ever increasing amounts of big data - and big data is eating the world! This book covers all the crucial Splunk topics and gives you the information and examples to get the immediate job done. You will find enough insights to support further research and use Splunk to suit any business environment or situation. Splunk 7.x Quick Start Guide gives you a thorough understanding of how Splunk works. You will learn about all the critical tasks for architecting, implementing, administering, and utilizing Splunk Enterprise to collect, store, retrieve, format, analyze, and visualize machine data. You will find step-by-step examples based on real-world experience and practical use cases that are applicable to all Splunk environments. There is a careful balance between adequate coverage of all the critical topics with short but relevant deep-dives into the configuration options and steps to carry out the day-to-day tasks that matter. By the end of the book, you will be a confident and proficient Splunk architect and administrator. What you will learn Design and implement a complex Splunk Enterprise solution Configure your Splunk environment to get machine data in and indexed Build searches to get and format data for analysis and visualization Build reports, dashboards, and alerts to deliver critical insights Create knowledge objects to enhance the value of your data Install Splunk apps to provide focused views into key technologies Monitor, troubleshoot, and manage your Splunk environment Who this book is for This book is intended for experienced IT personnel who are just getting started working with Splunk and want to quickly become proficient with its usage. Data analysts who need to leverage Splunk to extract critical business insights from application logs and other machine data sources will also benefit from this book.
    Note: Description based on online resource; title from title page (Safari, viewed February 14, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781789531091/?ar
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  • 44
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    Learning Jupyter 5 : explore interactive computing using Python, Java, JavaScript, R, Julia, and JupyterLab (2018)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781789137446 , 1789137446
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Science ; Data processing ; Data mining ; Information visualization ; Python (Computer program language) ; Java (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Create and share livecode, equations, visualizations, and explanatory text, in both a single document and a web browser with Jupyter Key Features Learn how to use Jupyter 5.x features such as cell tagging and attractive table styles Leverage big data tools and datasets with different Python packages Explore multiple-user Jupyter Notebook servers Book Description The Jupyter Notebook allows you to create and share documents that contain live code, equations, visualizations, and explanatory text. The Jupyter Notebook system is extensively used in domains such as data cleaning and transformation, numerical simulation, statistical modeling, and machine learning. Learning Jupyter 5 will help you get to grips with interactive computing using real-world examples. The book starts with a detailed overview of the Jupyter Notebook system and its installation in different environments. Next, you will learn to integrate the Jupyter system with different programming languages such as R, Python, Java, JavaScript, and Julia, and explore various versions and packages that are compatible with the Notebook system. Moving ahead, you will master interactive widgets and namespaces and work with Jupyter in a multi-user mode. By the end of this book, you will have used Jupyter with a big dataset and be able to apply all the functionalities you've explored throughout the book. You will also have learned all about the Jupyter Notebook and be able to start performing data transformation, numerical simulation, and data visualization. What you will learn Install and run the Jupyter Notebook system on your machine Implement programming languages such as R, Python, Julia, and JavaScript with the Jupyter Notebook Use interactive widgets to manipulate and visualize data in real time Start sharing your Notebook with colleagues Invite your colleagues to work with you on the same Notebook Organize your Notebook using Jupyter namespaces Access big data in Jupyter for dealing with large datasets using Spark Who this book is for Learning Jupyter 5 is for developers, data scientists, machine learning users, and anyone working on data analysis or data science projects across different teams. Data science professionals will also find this book useful for performing technical and scientific computing collaboratively. Downloading the example code for this book You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com. If ...
    Note: Previous edition published: 2016. - Description based on online resource; title from title page (Safari, viewed October 5, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781789137408/?ar
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    Hands-on recommendation systems with Python : start building powerful and personalized, recommendation engines with Python (2018)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781788992534 , 1788992539
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Python (Computer program language) ; Internet marketing ; Data mining ; Electronic books ; Electronic books ; local
    Abstract: With Hands-On Recommendation Systems with Python, learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web Key Features Build industry-standard recommender systems Only familiarity with Python is required No need to wade through complicated machine learning theory to use this book Book Description Recommendation systems are at the heart of almost every internet business today; from Facebook to Net?ix to Amazon. Providing good recommendations, whether it's friends, movies, or groceries, goes a long way in defining user experience and enticing your customers to use your platform. This book shows you how to do just that. You will learn about the different kinds of recommenders used in the industry and see how to build them from scratch using Python. No need to wade through tons of machine learning theory - you'll get started with building and learning about recommenders as quickly as possible.. In this book, you will build an IMDB Top 250 clone, a content-based engine that works on movie metadata. You'll use collaborative filters to make use of customer behavior data, and a Hybrid Recommender that incorporates content based and collaborative filtering techniques With this book, all you need to get started with building recommendation systems is a familiarity with Python, and by the time you're fnished, you will have a great grasp of how recommenders work and be in a strong position to apply the techniques that you will learn to your own problem domains. What you will learn Get to grips with the different kinds of recommender systems Master data-wrangling techniques using the pandas library Building an IMDB Top 250 Clone Build a content based engine to recommend movies based on movie metadata Employ data-mining techniques used in building recommenders Build industry-standard collaborative filters using powerful algorithms Building Hybrid Recommenders that incorporate content based and collaborative fltering Who this book is for If you are a Python developer and want to develop applications for social networking, news personalization or smart advertising, this is the book for you. Basic knowledge of machine learning techniques will be helpful, but not mandatory.
    Note: Description based on online resource; title from title page (Safari, viewed August 27, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781788993753/?ar
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  • 46
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    TensorFlow : powerful predictive analytics with TensorFlow : predict valuable insights of your data with TensorFlow (2018)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781789130423 , 1789130425
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Parallel Title: Erscheint auch als
    Keywords: Data mining ; Big data ; Decision making Data processing ; Application software Development ; Machine learning
    Note: Description based on online resource; title from cover (Safari, viewed April 3, 2018). - "Rapid learning solution."
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: https://learning.oreilly.com/library/view/-/9781789136913/?ar
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  • 47
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    R deep learning projects : master the techniques to design and develop neural network models in R (2018)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781788474559 , 1788474554
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Parallel Title: Erscheint auch als
    Keywords: Machine learning ; R (Computer program language) ; Data mining
    Note: Description based on online resource; title from title page (viewed March 14, 2018)
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: https://learning.oreilly.com/library/view/-/9781788478403/?ar
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  • 48
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    Splunk operational intelligence cookbook : over 80 recipes for transforming your data into business-critical insights using Splunk (2018)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781788833080 , 1788833082
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Third edition
    Parallel Title: Erscheint auch als
    RVK:
    ST 530
    Keywords: Big data ; Data mining ; Automatic data collection systems
    Note: Description based on online resource; title from title page (Safari, viewed June 29, 2018)
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: https://learning.oreilly.com/library/view/-/9781788835237/?ar
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  • 49
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    IBM Watson projects : eight exciting projects that put artificial intelligence into practice for optimal business performance (2018)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781789346695 , 178934669X
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Watson (Computer) ; Natural language processing (Computer science) ; Data mining ; Machine learning ; Electronic books ; Electronic books ; local
    Abstract: Incorporate intelligence to your data-driven business insights and high accuracy business solutions Key Features Explore IBM Watson capabilities such as Natural Language Processing (NLP) and machine learning Build projects to adopt IBM Watson across retail, banking, and healthcare Learn forecasting, anomaly detection, and pattern recognition with ML techniques Book Description IBM Watson provides fast, intelligent insight in ways that the human brain simply can't match. Through eight varied projects, this book will help you explore the computing and analytical capabilities of IBM Watson. The book begins by refreshing your knowledge of IBM Watson's basic data preparation capabilities, such as adding and exploring data to prepare it for being applied to models. The projects covered in this book can be developed for different industries, including banking, healthcare, media, and security. These projects will enable you to develop an AI mindset and guide you in developing smart data-driven projects, including automating supply chains, analyzing sentiment in social media datasets, and developing personalized recommendations. By the end of this book, you'll have learned how to develop solutions for process automation, and you'll be able to make better data-driven decisions to deliver an excellent customer experience. What you will learn Build a smart dialog system with cognitive assistance solutions Design a text categorization model and perform sentiment analysis on social media datasets Develop a pattern recognition application and identify data irregularities smartly Analyze trip logs from a driving services company to determine profit Provide insights into an organization's supply chain data and processes Create personalized recommendations for retail chains and outlets Test forecasting effectiveness for better sales prediction strategies Who this book is for This book is for data scientists, AI engineers, NLP engineers, machine learning engineers, and data analysts who wish to build next-generation analytics applications. Basic familiarity with cognitive computing and sound knowledge of any programming language is all you need to understand the projects covered in this book.
    Note: Description based on online resource; title from title page (Safari, viewed December 3, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781789343717/?ar
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  • 50
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    Hands-on predictive analytics with Python : master the complete predictive analytics process, from problem definition to model deployment (2018)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781789134544 , 1789134544
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Python (Computer program language) ; Application software ; Development ; Decision making ; Data processing ; Data mining ; Big data ; Electronic books ; Electronic books ; local
    Abstract: Step-by-step guide to build high performing predictive applications Key Features Use the Python data analytics ecosystem to implement end-to-end predictive analytics projects Explore advanced predictive modeling algorithms with an emphasis on theory with intuitive explanations Learn to deploy a predictive model's results as an interactive application Book Description Predictive analytics is an applied field that employs a variety of quantitative methods using data to make predictions. It involves much more than just throwing data onto a computer to build a model. This book provides practical coverage to help you understand the most important concepts of predictive analytics. Using practical, step-by-step examples, we build predictive analytics solutions while using cutting-edge Python tools and packages. The book's step-by-step approach starts by defining the problem and moves on to identifying relevant data. We will also be performing data preparation, exploring and visualizing relationships, building models, tuning, evaluating, and deploying model. Each stage has relevant practical examples and efficient Python code. You will work with models such as KNN, Random Forests, and neural networks using the most important libraries in Python's data science stack: NumPy, Pandas, Matplotlib, Seaborn, Keras, Dash, and so on. In addition to hands-on code examples, you will find intuitive explanations of the inner workings of the main techniques and algorithms used in predictive analytics. By the end of this book, you will be all set to build high-performance predictive analytics solutions using Python programming. What you will learn Get to grips with the main concepts and principles of predictive analytics Learn about the stages involved in producing complete predictive analytics solutions Understand how to define a problem, propose a solution, and prepare a dataset Use visualizations to explore relationships and gain insights into the dataset Learn to build regression and classification models using scikit-learn Use Keras to build powerful neural network models that produce accurate predictions Learn to serve a model's predictions as a web application Who this book is for This book is for data analysts, data scientists, data engineers, and Python developers who want to learn about predictive modeling and would like to implement predictive analytics solutions using Python's data stack. People from other backgrounds who would like to enter this excitin...
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed February 26, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781789138719/?ar
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  • 51
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    Mastering Kibana 6.x : visualize your Elastic Stack data with histograms, maps, charts, and graphs (2018)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781788834032 , 1788834038
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Information visualization ; Data mining ; Electronic books ; Electronic books ; local
    Abstract: Get to grips with Kibana and its advanced functions to create interactive visualizations and dashboards Key Features Explore visualizations and perform histograms, stats, and map analytics Unleash X-Pack and Timelion, and learn alerting, monitoring, and reporting features Manage dashboards with Beats and create machine learning jobs for faster analytics Book Description Kibana is one of the popular tools among data enthusiasts for slicing and dicing large datasets and uncovering Business Intelligence (BI) with the help of its rich and powerful visualizations. To begin with, Mastering Kibana 6.x quickly introduces you to the features of Kibana 6.x, before teaching you how to create smart dashboards in no time. You will explore metric analytics and graph exploration, followed by understanding how to quickly customize Kibana dashboards. In addition to this, you will learn advanced analytics such as maps, hits, and list analytics. All this will help you enhance your skills in running and comparing multiple queries and filters, influencing your data visualization skills at scale. With Kibana's Timelion feature, you can analyze time series data with histograms and stats analytics. By the end of this book, you will have created a speedy machine learning job using X-Pack capabilities. What you will learn Create unique dashboards with various intuitive data visualizations Visualize Timelion expressions with added histograms and stats analytics Integrate X-Pack with your Elastic Stack in simple steps Extract data from Elasticsearch for advanced analysis and anomaly detection using dashboards Build dashboards from web applications for application logs Create monitoring and alerting dashboards using Beats Who this book is for Mastering Kibana 6.x is for you if you are a big data engineer, DevOps engineer, or data scientist aspiring to go beyond data visualization at scale and gain maximum insights from their large datasets. Basic knowledge of Elasticstack will be an added advantage, although not mandatory.
    Note: Description based on online resource; title from title page (Safari, viewed August 29, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781788831031/?ar
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  • 52
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    Jupyter cookbook : over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more (2018)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781788839747 , 1788839749
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Parallel Title: Erscheint auch als
    RVK:
    ST 232
    Keywords: Electronic data processing ; Data mining ; Information visualization ; Python (Computer program language) ; R (Computer program language) ; Scala (Computer program language)
    Note: Description based on online resource; title from title page (Safari, viewed May 31, 2018)
    URL: Volltext  (URL des Erstveröffentlichers)
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    Product Management in Practice (Audio Book) (2018)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (22694 pages)
    Edition: 1st edition
    Keywords: Audiobooks ; local
    Abstract: Product management has become a critical connective role for modern organizations, from small technology startups to global corporate enterprises. And yet the day-to-day work of product management remains largely misunderstood. In theory, product management is about building products that people love.
    Note: Online resource; Title from title page (viewed March 1, 2018)
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    Online Resource
    What Are Your Blind Spots? Conquering the 5 Misconceptions that Hold Leaders Back (2018)
    [Erscheinungsort nicht ermittelbar] : McGraw-Hill | Boston, MA : Safari
    Details
    ISBN: 9781260129212
    Language: English
    Pages: 1 online resource (17631 pages)
    Edition: 1st edition
    Keywords: Audiobooks ; local ; Audiobooks
    Abstract: manage, lead, culture, engagement, innovation, personnel,strategy, business growth, inspire, motivate, performance, workplace, management, leadership, staff, motivational, job performance, career
    Note: Online resource; Title from title page (viewed October 11, 2018)
    URL: lizenzpflichtig
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    The Psychology of Information Security - Resolving conflicts between security compliance and human behaviour (2018)
    [Erscheinungsort nicht ermittelbar] : IT Governance Publishing | Boston, MA : Safari
    Details
    ISBN: 9781787780934
    Language: English
    Pages: 1 online resource (7940 pages)
    Edition: 1st edition
    Keywords: Audiobooks ; local
    Abstract: The Psychology of Information Security – Resolving conflicts between security compliance and human behaviour considers information security from the seemingly opposing viewpoints of security professionals and end users to find the balance between security and productivity.
    Note: Online resource; Title from title page (viewed October 2, 2018)
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    SIAM/MSI - An Introduction to Service Integration and Management/ Multi-Sourcing Integration for IT Service Management (2018)
    [Erscheinungsort nicht ermittelbar] : IT Governance Publishing | Boston, MA : Safari
    Details
    ISBN: 9781787780989
    Language: English
    Pages: 1 online resource (4175 pages)
    Edition: 1st edition
    Keywords: Audiobooks ; local
    Abstract: This book provides clear guidance on the SIAM process, answering questions on what service integration is, when SIAM is applicable, and what approach should be taken when sourcing ITSM services in a multi-sourced environment.
    Note: Online resource; Title from title page (viewed October 18, 2018)
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    Online Resource
    Selling the Hug Your Customers Way : The Proven Process for Becoming a Passionate and Successful Salesperson For Life (2018)
    [Erscheinungsort nicht ermittelbar] : McGraw-Hill | Boston, MA : Safari
    Details
    ISBN: 9781260134827
    Language: English
    Pages: 1 online resource (34668 pages)
    Edition: 1st edition
    Keywords: Audiobooks ; local ; Audiobooks
    Abstract: sales, strategy, tactics, skills, management, team, close, relationship, loyalty, customer, service, retail, engage
    Note: Online resource; Title from title page (viewed June 8, 2018)
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  • 58
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    Legacy in the Making : Building a Long-Term Brand to Stand Out in a Short-Term World (2018)
    [Erscheinungsort nicht ermittelbar] : McGraw-Hill | Boston, MA : Safari
    Details
    ISBN: 9781260117554
    Language: English
    Pages: 1 online resource (18691 pages)
    Edition: 1st edition
    Keywords: Audiobooks ; local ; Audiobooks
    Abstract: Based on groundbreaking research, this is an essential toolkit for leaders who want their brand to leave a lasting mark on the world.
    Note: Online resource; Title from title page (viewed March 30, 2018)
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  • 59
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    ISO 9001:2015 - A Pocket Guide (2018)
    [Erscheinungsort nicht ermittelbar] : IT Governance Publishing | Boston, MA : Safari
    Details
    ISBN: 9781787780903
    Language: English
    Pages: 1 online resource (4308 pages)
    Edition: 1st edition
    Keywords: Audiobooks ; local
    Abstract: With a quality management system (QMS) based on ISO 9001 you can ensure the quality of the products and services your company provides, thereby enhancing customer satisfaction and increasing profitability. ISO 9001:2015 – A Pocket Guide provides a useful introduction to ISO 9001 and the principles of quality management.
    Note: Online resource; Title from title page (viewed October 2, 2018)
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    The Security Consultant's Handbook (2018)
    [Erscheinungsort nicht ermittelbar] : IT Governance Publishing | Boston, MA : Safari
    Details
    ISBN: 9781787780965
    Language: English
    Pages: 1 online resource (52439 pages)
    Edition: 1st edition
    Keywords: Audiobooks ; local
    Abstract: The Security Consultant's Handbook sets out a holistic overview of the essential core knowledge, emerging opportunities and approaches to corporate thinking that are increasingly demanded by employers and buyers in the security market.
    Note: Online resource; Title from title page (viewed November 6, 2018)
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    Ten Steps to ITSM Success - A Practitioner’s Guide to Enterprise IT Transformation (2018)
    [Erscheinungsort nicht ermittelbar] : IT Governance Publishing | Boston, MA : Safari
    Details
    ISBN: 9781787781009
    Language: English
    Pages: 1 online resource (24203 pages)
    Edition: 1st edition
    Keywords: Audiobooks ; local
    Abstract: There is a wealth of material that describes the nuts and bolts of IT Service Management (ITSM), but there is little practical advice on how to implement ITSM best practices to achieve business objectives and design and implement a real, working ITSM model. This book fills the gap.
    Note: Online resource; Title from title page (viewed October 23, 2018)
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  • 62
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    Product Leadership (Audio Book) (2018)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (32865 pages)
    Edition: 1st edition
    Keywords: Audiobooks ; local
    Abstract: In today’s lightning-fast technology world, good product management is critical to maintaining a competitive advantage. Yet, managing human beings and navigating complex product roadmaps is no easy task, and it’s rare to find a product leader who can steward a digital product from concept to launch without a couple of major hiccups. Why do some product leaders succeed while others don’t?
    Note: Online resource; Title from title page (viewed February 28, 2018)
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    PRINCE2 Agile An Implementation Pocket Guide - Step-by-step advice for every project type (2018)
    [Erscheinungsort nicht ermittelbar] : IT Governance Publishing | Boston, MA : Safari
    Details
    ISBN: 9781787780842
    Language: English
    Pages: 1 online resource (8542 pages)
    Edition: 1st edition
    Keywords: Audiobooks ; local
    Abstract: PRINCE2 Agile: An Implementation Pocket Guide is an official AXELOS-licensed guide that explains the PRINCE2 Agile framework in clear business language with practical guidance on how to implement this framework for any project in your organisation.
    Note: Online resource; Title from title page (viewed October 2, 2018)
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    Governance of Enterprise IT based on COBIT 5 - A Management Guide (2018)
    [Erscheinungsort nicht ermittelbar] : IT Governance Publishing | Boston, MA : Safari
    Details
    ISBN: 9781787780941
    Language: English
    Pages: 1 online resource (11345 pages)
    Edition: 1st edition
    Keywords: Audiobooks ; local
    Abstract: Written for IT service managers, consultants and other practitioners in IT governance, risk and compliance, this practical book discusses all the key concepts of COBIT®5, and explains how to direct the governance of enterprise IT (GEIT) using the COBIT®5 framework.
    Note: Online resource; Title from title page (viewed December 6, 2018)
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    Cyber Essentials - A Pocket Guide (2018)
    [Erscheinungsort nicht ermittelbar] : IT Governance Publishing | Boston, MA : Safari
    Details
    ISBN: 9781787780958
    Language: English
    Pages: 1 online resource (4427 pages)
    Edition: 1st edition
    Keywords: Audiobooks ; local
    Abstract: Cyber Essentials certification will provide numerous benefits, including the opportunity to tender for business where certification to the scheme may be a prerequisite.This pocket guide explains how to achieve certification to Cyber Essentials in a fast, effective and cost-effective manner.
    Note: Online resource; Title from title page (viewed October 18, 2018)
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    An Introduction to Information Security and ISO27001:2013 (2018)
    [Erscheinungsort nicht ermittelbar] : IT Governance Publishing | Boston, MA : Safari
    Details
    ISBN: 9781787780897
    Language: English
    Pages: 1 online resource (3207 pages)
    Edition: 1st edition
    Keywords: Audiobooks ; local
    Abstract: The ideal primer for anyone implementing an information security management system. Written by an acknowledged expert on the ISO27001 Standard, this pocket guide is the ideal resource for anyone wanting a clear, concise and easy-to-read introduction to information security.
    Note: Online resource; Title from title page (viewed October 2, 2018)
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    PRINCE2 in Action - Project management in real terms (2018)
    [Erscheinungsort nicht ermittelbar] : IT Governance Publishing | Boston, MA : Safari
    Details
    ISBN: 9781787780880
    Language: English
    Pages: 1 online resource (23068 pages)
    Edition: 1st edition
    Keywords: Audiobooks ; local
    Abstract: This book will guide you through each step of your project, clearly defining the underlying principles that should be applied to every project, regardless of what is going on inside or outside the project environment.
    Note: Online resource; Title from title page (viewed October 2, 2018) , Mode of access: World Wide Web.
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    The Power of the Agile Business Analyst, 2nd Edition - 30 Surprising Ways A Business Analyst Can Add Value To Your Agile Development Team (Audio Book) (2018)
    [Erscheinungsort nicht ermittelbar] : IT Governance Publishing | Boston, MA : Safari
    Details
    ISBN: 9781787780859
    Language: English
    Pages: 1 online resource (17835 pages)
    Edition: 1st edition
    Keywords: Audiobooks ; local
    Abstract: Drawing on her extensive experience, Jamie proposes a new role for Agile projects: The Agile business analyst. She details 30 achievable ways that such a role will increase relevance, quality and overall business value, and provide business users with crucial support.
    Note: Online resource; Title from title page (viewed October 1, 2018) , Mode of access: World Wide Web.
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    Numerical computing with Python : harness the power of Python to analyze and find hidden patterns in the data (2018)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781789957228 , 1789957222
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Series Statement: Learning path
    Keywords: Python (Computer program language) ; Data mining ; Information visualization ; Machine learning ; Electronic books ; Electronic books ; local
    Abstract: Understand, explore, and effectively present data using the powerful data visualization techniques of Python Key Features Use the power of Pandas and Matplotlib to easily solve data mining issues Understand the basics of statistics to build powerful predictive data models Grasp data mining concepts with helpful use-cases and examples Book Description Data mining, or parsing the data to extract useful insights, is a niche skill that can transform your career as a data scientist Python is a flexible programming language that is equipped with a strong suite of libraries and toolkits, and gives you the perfect platform to sift through your data and mine the insights you seek. This Learning Path is designed to familiarize you with the Python libraries and the underlying statistics that you need to get comfortable with data mining. You will learn how to use Pandas, Python's popular library to analyze different kinds of data, and leverage the power of Matplotlib to generate appealing and impressive visualizations for the insights you have derived. You will also explore different machine learning techniques and statistics that enable you to build powerful predictive models. By the end of this Learning Path, you will have the perfect foundation to take your data mining skills to the next level and set yourself on the path to become a sought-after data science professional. This Learning Path includes content from the following Packt products: Statistics for Machine Learning by Pratap Dangeti Matplotlib 2.x By Example by Allen Yu, Claire Chung, Aldrin Yim Pandas Cookbook by Theodore Petrou What you will learn Understand the statistical fundamentals to build data models Split data into independent groups Apply aggregations and transformations to each group Create impressive data visualizations Prepare your data and design models Clean up data to ease data analysis and visualization Create insightful visualizations with Matplotlib and Seaborn Customize the model to suit your own predictive goals Who this book is for If you want to learn how to use the many libraries of Python to extract impactful information from your data and present it as engaging visuals, then this is the ideal Learning Path for you. Some basic knowledge of Python is enough to get started with this Learning Path.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed February 20, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781789953633/?ar
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    Become a Python data analyst : perform exploratory data analysis and gain insight into scientific computing using Python (2018)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781789534405 , 1789534402
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Data mining ; Python (Computer program language) ; Quantitative research ; Science ; Data processing ; Electronic books ; Electronic books ; local
    Abstract: Enhance your data analysis and predictive modeling skills using popular Python tools Key Features Cover all fundamental libraries for operation and manipulation of Python for data analysis Implement real-world datasets to perform predictive analytics with Python Access modern data analysis techniques and detailed code with scikit-learn and SciPy Book Description Python is one of the most common and popular languages preferred by leading data analysts and statisticians for working with massive datasets and complex data visualizations. Become a Python Data Analyst introduces Python's most essential tools and libraries necessary to work with the data analysis process, right from preparing data to performing simple statistical analyses and creating meaningful data visualizations. In this book, we will cover Python libraries such as NumPy, pandas, matplotlib, seaborn, SciPy, and scikit-learn, and apply them in practical data analysis and statistics examples. As you make your way through the chapters, you will learn to efficiently use the Jupyter Notebook to operate and manipulate data using NumPy and the pandas library. In the concluding chapters, you will gain experience in building simple predictive models and carrying out statistical computation and analysis using rich Python tools and proven data analysis techniques. By the end of this book, you will have hands-on experience performing data analysis with Python. What you will learn Explore important Python libraries and learn to install Anaconda distribution Understand the basics of NumPy Produce informative and useful visualizations for analyzing data Perform common statistical calculations Build predictive models and understand the principles of predictive analytics Who this book is for Become a Python Data Analyst is for entry-level data analysts, data engineers, and BI professionals who want to make complete use of Python tools for performing efficient data analysis. Prior knowledge of Python programming is necessary to understand the concepts covered in this book
    Note: Description based on online resource; title from title page (Safari, viewed October 2, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781789531701/?ar
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    Hands-on data science with R : techniques to perform data manipulation and mining to build smart analytical models using R (2018)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781789135831 , 1789135834
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: R (Computer program language) ; Mathematical statistics ; Data processing ; Data mining ; Electronic books ; Electronic books ; local
    Abstract: A hands-on guide for professionals to perform various data science tasks in R Key Features Explore the popular R packages for data science Use R for efficient data mining, text analytics and feature engineering Become a thorough data science professional with the help of hands-on examples and use-cases in R Book Description R is the most widely used programming language, and when used in association with data science, this powerful combination will solve the complexities involved with unstructured datasets in the real world. This book covers the entire data science ecosystem for aspiring data scientists, right from zero to a level where you are confident enough to get hands-on with real-world data science problems. The book starts with an introduction to data science and introduces readers to popular R libraries for executing data science routine tasks. This book covers all the important processes in data science such as data gathering, cleaning data, and then uncovering patterns from it. You will explore algorithms such as machine learning algorithms, predictive analytical models, and finally deep learning algorithms. You will learn to run the most powerful visualization packages available in R so as to ensure that you can easily derive insights from your data. Towards the end, you will also learn how to integrate R with Spark and Hadoop and perform large-scale data analytics without much complexity. What you will learn Understand the R programming language and its ecosystem of packages for data science Obtain and clean your data before processing Master essential exploratory techniques for summarizing data Examine various machine learning prediction, models Explore the H2O analytics platform in R for deep learning Apply data mining techniques to available datasets Work with interactive visualization packages in R Integrate R with Spark and Hadoop for large-scale data analytics Who this book is for If you are a budding data scientist keen to learn about the popular pandas library, or a Python developer looking to step into the world of data analysis, this book is the ideal resource you need to get started. Some programming experience in Python will be helpful to get the most out of this course
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed February 1, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781789139402/?ar
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    R web scraping quick start guide : techniques and tools to crawl and scrape data from websites (2018)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781788992633 , 1788992636
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: R (Computer program language) ; Data mining ; Information retrieval ; Electronic books ; Electronic books ; local
    Abstract: Web Scraping techniques are getting more popular, since data is as valuable as oil in 21st century. Through this book get some key knowledge about using XPath, regEX; web scraping libraries for R like rvest and RSelenium technologies. Key Features Techniques, tools and frameworks for web scraping with R Scrape data effortlessly from a variety of websites Learn how to selectively choose the data to scrape, and build your dataset Book Description Web scraping is a technique to extract data from websites. It simulates the behavior of a website user to turn the website itself into a web service to retrieve or introduce new data. This book gives you all you need to get started with scraping web pages using R programming. You will learn about the rules of RegEx and Xpath, key components for scraping website data. We will show you web scraping techniques, methodologies, and frameworks. With this book's guidance, you will become comfortable with the tools to write and test RegEx and XPath rules. We will focus on examples of dynamic websites for scraping data and how to implement the techniques learned. You will learn how to collect URLs and then create XPath rules for your first web scraping script using rvest library. From the data you collect, you will be able to calculate the statistics and create R plots to visualize them. Finally, you will discover how to use Selenium drivers with R for more sophisticated scraping. You will create AWS instances and use R to connect a PostgreSQL database hosted on AWS. By the end of the book, you will be sufficiently confident to create end-to-end web scraping systems using R. What you will learn Write and create regEX rules Write XPath rules to query your data Learn how web scraping methods work Use rvest to crawl web pages Store data retrieved from the web Learn the key uses of Rselenium to scrape data Who this book is for This book is for R programmers who want to get started quickly with web scraping, as well as data analysts who want to learn scraping using R. Basic knowledge of R is all you need to get started with this book.
    Note: Description based on online resource; title from title page (viewed January 9, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781789138733/?ar
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    The Four Pillars of Investing : Lessons for Building a Winning Portfolio (2018)
    [Erscheinungsort nicht ermittelbar] : McGraw-Hill | Boston, MA : Safari
    Details
    ISBN: 9781260457506
    Language: English
    Pages: 1 online resource (44068 pages)
    Edition: 1st edition
    Keywords: Audiobooks ; local ; Audiobooks
    Abstract: The Little Book of Common Sense Investing, The Bogleheads' Guide to Investing, INTELLIGENT ASSET ALLOCATOR, BIRTH OF PLENTY, book, guide, how to, investing, invest, investment, finance, financial, money, market, portfolio, profit, earnings, securities, stocks, capital, allocate, diversification, diversify, allocation, bull market, bear market, wall street, BBC, MSCI, S&P, Russell, FTSE, Dow Jones, Hang Seng, HIS, BSE, Nikkei, BMG, BRIC, NASDAQ, CBOT, futures, derivative, forward, futures, option, swap, valuation, constraint, asset, retirement, planning, commodities, bonds, mutual funds, exchange traded fund, ETF, value, equity, personal finance, American Stock Exchange, ASE, Bombay Stock Exchange, Euronext, Frankfurt, Hong Kong, London, New York, NYSE, Zurich, Singapore, Shanghai, Greenspan's Bubbles, The Templeton Way, How to Make Money in Stocks, The Successful Investor, Way of the Turtle, The Art of Investing and Portfolio Management, Standard & Poor's Guide to Money & Investing, Wall Street Stories, Understanding Wall Street, Standard & Poor's 500 Guide, Stocks for the Long Run, Mastering the Art of Asset Allocation, McGraw-Hill's Interest Amortization Tables, Option Volatility and Pricing, The Four Pillars of Investing, Trend Trading for a Living, Mastering the Trade, Security Analysis, Trade Your Way to Financial Freedom, The New Day Trader Advantage, The 10 Essentials of Forex Trading, Technical Analysis Demystified, Forex Shockwave Analysis, Trend Trading, The Secret Language of Financial Reports, Fibonacci Analysis, Derivative Financial Instruments, Compliance Management, ETF Strategies and Tactics, Stabilizing an Unstable Economy, John Maynard Keynes, When Markets Collide, Investing With Intelligent ETFs, Private Equity Edge, Investment Banking Explained, Basel II Implementation, Commodities Demystified, Credit Derivatives Handbook
    Note: Online resource; Title from title page (viewed December 31, 2018)
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    Financial Shenanigans, Fourth Edition : How to Detect Accounting Gimmicks and Fraud in Financial Reports (2018)
    [Erscheinungsort nicht ermittelbar] : McGraw-Hill | Boston, MA : Safari
    Details
    ISBN: 9781260117257
    Language: English
    Pages: 1 online resource (37236 pages)
    Edition: 4th edition
    Keywords: Audiobooks ; local ; Audiobooks
    Abstract: Investing, investments, business and money, accounting, finance, financial schemes, investment fraud, business ethnics, securities, investment strategies, business and economics, auditing, unethical businesses, protecting your investments, investment advice
    Note: Online resource; Title from title page (viewed March 28, 2018)
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    The Manager's Path (Audio Book) (2018)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (32035 pages)
    Edition: 1st edition
    Keywords: Audiobooks ; local
    Abstract: Managing people is difficult wherever you work. But in the tech industry, where management is also a technical discipline, the learning curve can be brutal—especially when there are few tools, texts, and frameworks to help you. In this practical guide, author Camille Fournier (tech lead turned CTO) takes you through each stage in the journey from engineer to technical manager.
    Note: Online resource; Title from title page (viewed March 1, 2018)
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    Qlik sense : advanced data visualization for your organization : learning path : create smart data visualizations and predictive analytics solutions (2017)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781788998727 , 1788998723
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Management information systems ; Business intelligence ; Computer programs ; Information visualization ; Data mining ; Electronic books ; Electronic books ; local
    Abstract: Perform Interactive Data Analysis with Smarter Visualizations and Support your Enterprise-wide Analytical Needs About This Book Get a practical demonstration of discovering data for sales, human resources, and more using Qlik Sense Create dynamic dashboards for business intelligence and predictive analytics Create and collaborate comprehensive analytical solutions using Rattle and Qlik Sense Who This Book Is For This course is for anyone who wishes to understand and utilize the various new approaches to business intelligence actively in their business practice. Knowing the basics of business intelligence concepts would be helpful when picking up this course, but is not mandatory. What You Will Learn Build simple visualization models with Rattle and Qlik Sense Desktop Get to grips with the life cycle and new visualization functions of a Qlik Sense application Discover simple ways to examine data and get it ready for analysis Visualize your data with Qlik Sense's engaging and informative graphs Build efficient and responsive Associative Models Optimize Qlik Sense for sales, human resources, and demographic data discovery Explore various tips and tricks of navigation for the Qlik Sense® front end Develop creative extensions for your Qlik Sense® dashboard In Detail Qlik Sense is powerful and creative visual analytics software that allows users to discover data, explore it, and dig out meaningful insights in order to make a profit and make decisions for your business. This course begins by introducing you to the features and functions of the most modern edition of Qlik Sense so you get to grips with the application. The course will teach you how to administer the data architecture in Qlik Sense, enabling you to customize your own Qlik Sense application for your business intelligence needs. It also contains numerous recipes to help you overcome challenging situations while creating fully featured desktop applications in Qlik Sense. It explains how to combine Rattle and Qlik Sense Desktop to apply predictive analytics to your data to develop real-world interactive data applications. The course includes premium content from three of our most popular books: Learning Qlik Sense: The Official Guide Second Edition Qlik Sense Cookbook Predictive Analytics using Rattle and Qlik Sense On completion of this course, you will be self-sufficient in improving your data analysis and will know how to apply predictive analytics to your datasets. Through this course,...
    Note: Includes index. - Description based on online resource; title from cover (Safari, viewed January 26, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781788994927/?ar
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    Big data analytics with Java : big data analytics - massive, predictive, social and self-driving (2017)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781787282193 , 1787282198
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Java (Computer program language) ; Data mining ; Big data ; Electronic books ; Electronic books ; local
    Abstract: Learn the basics of analytics on big data using Java, machine learning and other big data tools About This Book Acquire real-world set of tools for building enterprise level data science applications Surpasses the barrier of other languages in data science and learn create useful object-oriented codes Extensive use of Java compliant big data tools like apache spark, Hadoop, etc. Who This Book Is For This book is for Java developers who are looking to perform data analysis in production environment. Those who wish to implement data analysis in their Big data applications will find this book helpful. What You Will Learn Start from simple analytic tasks on big data Get into more complex tasks with predictive analytics on big data using machine learning Learn real time analytic tasks Understand the concepts with examples and case studies Prepare and refine data for analysis Create charts in order to understand the data See various real-world datasets In Detail This book covers case studies such as sentiment analysis on a tweet dataset, recommendations on a movielens dataset, customer segmentation on an ecommerce dataset, and graph analysis on actual flights dataset. This book is an end-to-end guide to implement analytics on big data with Java. Java is the de facto language for major big data environments, including Hadoop. This book will teach you how to perform analytics on big data with production-friendly Java. This book basically divided into two sections. The first part is an introduction that will help the readers get acquainted with big data environments, whereas the second part will contain a hardcore discussion on all the concepts in analytics on big data. It will take you from data analysis and data visualization to the core concepts and advantages of machine learning, real-life usage of regression and classification using Naïve Bayes, a deep discussion on the concepts of clustering,and a review of simple neural networks on big data using deepLearning4j or plain Java Spark code. This book is a must-have book for Java developers who want to start learning big data analytics and want to use it in the real world. Style and approach The approach of book is to deliver practical learning modules in manageable content. Each chapter is a self-contained unit of a concept in big data analytics. Book will step by step builds the competency in the area of big data analytics. Examples using real world case studies to give ideas of real applications a...
    Note: Includes index. - Description based on online resource; title from cover (Safari, viewed August 18, 2017)
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    R : predictive analysis : master the art of predictive modeling (2017)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781788290852 , 1788290852
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: R (Computer program language) ; Quantitative research ; Data mining ; Electronic books ; Electronic books ; local
    Abstract: Master the art of predictive modeling About This Book Load, wrangle, and analyze your data using the world's most powerful statistical programming language Familiarize yourself with the most common data mining tools of R, such as k-means, hierarchical regression, linear regression, Naïve Bayes, decision trees, text mining and so on. We emphasize important concepts, such as the bias-variance trade-off and over-fitting, which are pervasive in predictive modeling Who This Book Is For If you work with data and want to become an expert in predictive analysis and modeling, then this Learning Path will serve you well. It is intended for budding and seasoned practitioners of predictive modeling alike. You should have basic knowledge of the use of R, although it's not necessary to put this Learning Path to great use. What You Will Learn Get to know the basics of R's syntax and major data structures Write functions, load data, and install packages Use different data sources in R and know how to interface with databases, and request and load JSON and XML Identify the challenges and apply your knowledge about data analysis in R to imperfect real-world data Predict the future with reasonably simple algorithms Understand key data visualization and predictive analytic skills using R Understand the language of models and the predictive modeling process In Detail Predictive analytics is a field that uses data to build models that predict a future outcome of interest. It can be applied to a range of business strategies and has been a key player in search advertising and recommendation engines. The power and domain-specificity of R allows the user to express complex analytics easily, quickly, and succinctly. R offers a free and open source environment that is perfect for both learning and deploying predictive modeling solutions in the real world. This Learning Path will provide you with all the steps you need to master the art of predictive modeling with R. We start with an introduction to data analysis with R, and then gradually you'll get your feet wet with predictive modeling. You will get to grips with the fundamentals of applied statistics and build on this knowledge to perform sophisticated and powerful analytics. You will be able to solve the difficulties relating to performing data analysis in practice and find solutions to working with ?messy data?, large data, communicating results, and facilitating reproducibility. You will then perform key predictive...
    Note: "Learning path.". - Includes bibliographical references and index. - Description based on online resource; title from cover (viewed April 18, 2017)
    URL: https://learning.oreilly.com/library/view/-/9781788290371/?ar
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    Learning Pentaho data integration 8 CE : an end-to-end guide to exploring, transforming, and integrating your data across multiple sources (2017)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781788290074 , 1788290070
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Third edition.
    Keywords: Data integration (Computer science) ; Data mining ; Decision support systems ; Database management ; Electronic books ; Electronic books ; local
    Abstract: Get up and running with the Pentaho Data Integration tool using this hands-on, easy-to-read guide About This Book Manipulate your data by exploring, transforming, validating, and integrating it using Pentaho Data Integration 8 CE A comprehensive guide exploring the features of Pentaho Data Integration 8 CE Connect to any database engine, explore the databases, and perform all kind of operations on relational databases Who This Book Is For This book is a must-have for software developers, business intelligence analysts, IT students, or anyone involved or interested in developing ETL solutions. If you plan on using Pentaho Data Integration for doing any data manipulation task, this book will help you as well. This book is also a good starting point for data warehouse designers, architects, or anyone who is responsible for data warehouse projects and needs to load data into them. What You Will Learn Explore the features and capabilities of Pentaho Data Integration 8 Community Edition Install and get started with PDI Learn the ins and outs of Spoon, the graphical designer tool Learn to get data from all kind of data sources, such as plain files, Excel spreadsheets, databases, and XML files Use Pentaho Data Integration to perform CRUD (create, read, update, and delete) operations on relationaldatabases Populate a data mart with Pentaho Data Integration Use Pentaho Data Integration to organize files and folders, run daily processes, deal with errors, and more In Detail Pentaho Data Integration(PDI) is an intuitive and graphical environment packed with drag-and-drop design and powerful Extract-Tranform-Load (ETL) capabilities. This book shows and explains the new interactive features of Spoon, the revamped look and feel, and the newest features of the tool including transformations and jobs Executors and the invaluable Metadata Injection capability. We begin with the installation of PDI software and then move on to cover all the key PDI concepts. Each of the chapter introduces new features, enabling you to gradually get practicing with the tool. First, you will learn to do all kind of data manipulation and work with simple plain files. Then, the book teaches you how you can work with relational databases inside PDI. Moreover, you will be given a primer on data warehouse concepts and you will learn how to load data in a data warehouse. During the course of this book, you will be familiarized with its intuitive, graphical and drag-and-drop design envir...
    Note: Description based on online resource; title from title page (Safari, viewed January 12, 2018)
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    Learning social media analytics with R : transform data from social media platforms into actionable insights (2017)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781787125469 , 1787125467
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Data mining ; R (Computer program language) ; Social media ; Business ; Data processing ; Electronic books ; Electronic books ; local
    Abstract: Tap into the realm of social media and unleash the power of analytics for data-driven insights using R About This Book A practical guide written to help leverage the power of the R eco-system to extract, process, analyze, visualize and model social media data Learn about data access, retrieval, cleaning, and curation methods for data originating from various social media platforms. Visualize and analyze data from social media platforms to understand and model complex relationships using various concepts and techniques such as Sentiment Analysis, Topic Modeling, Text Summarization, Recommendation Systems, Social Network Analysis, Classification, and Clustering. Who This Book Is For It is targeted at IT professionals, Data Scientists, Analysts, Developers, Machine Learning Enthusiasts, social media marketers and anyone with a keen interest in data, analytics, and generating insights from social data. Some background experience in R would be helpful, but not necessary, since this book is written keeping in mind, that readers can have varying levels of expertise. What You Will Learn Learn how to tap into data from diverse social media platforms using the R ecosystem Use social media data to formulate and solve real-world problems Analyze user social networks and communities using concepts from graph theory and network analysis Learn to detect opinion and sentiment, extract themes, topics, and trends from unstructured noisy text data from diverse social media channels Understand the art of representing actionable insights with effective visualizations Analyze data from major social media channels such as Twitter, Facebook, Flickr, Foursquare, Github, StackExchange, and so on Learn to leverage popular R packages such as ggplot2, topicmodels, caret, e1071, tm, wordcloud, twittR, Rfacebook, dplyr, reshape2, and many more In Detail The Internet has truly become humongous, especially with the rise of various forms of social media in the last decade, which give users a platform to express themselves and also communicate and collaborate with each other. This book will help the reader to understand the current social media landscape and to learn how analytics can be leveraged to derive insights from it. This data can be analyzed to gain valuable insights into the behavior and engagement of users, organizations, businesses, and brands. It will help readers frame business problems and solve them using social data. The book will also cover several practical r...
    Note: Includes index. - Description based on online resource; title from cover (Safari, viewed June 16, 2017)
    URL: https://learning.oreilly.com/library/view/-/9781787127524/?ar
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    Learning data mining with Python : use Python to manipulate data and build predictive models (2017)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781787129566 , 178712956X
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Python (Computer program language) ; Data mining ; Electronic books ; Electronic books ; local
    Abstract: Harness the power of Python to develop data mining applications, analyze data, delve into machine learning, explore object detection using Deep Neural Networks, and create insightful predictive models. About This Book Use a wide variety of Python libraries for practical data mining purposes. Learn how to find, manipulate, analyze, and visualize data using Python. Step-by-step instructions on data mining techniques with Python that have real-world applications. Who This Book Is For If you are a Python programmer who wants to get started with data mining, then this book is for you. If you are a data analyst who wants to leverage the power of Python to perform data mining efficiently, this book will also help you. No previous experience with data mining is expected. What You Will Learn Apply data mining concepts to real-world problems Predict the outcome of sports matches based on past results Determine the author of a document based on their writing style Use APIs to download datasets from social media and other online services Find and extract good features from difficult datasets Create models that solve real-world problems Design and develop data mining applications using a variety of datasets Perform object detection in images using Deep Neural Networks Find meaningful insights from your data through intuitive visualizations Compute on big data, including real-time data from the internet In Detail This book teaches you to design and develop data mining applications using a variety of datasets, starting with basic classification and affinity analysis. This book covers a large number of libraries available in Python, including the Jupyter Notebook, pandas, scikit-learn, and NLTK. You will gain hands on experience with complex data types including text, images, and graphs. You will also discover object detection using Deep Neural Networks, which is one of the big, difficult areas of machine learning right now. With restructured examples and code samples updated for the latest edition of Python, each chapter of this book introduces you to new algorithms and techniques. By the end of the book, you will have great insights into using Python for data mining and understanding of the algorithms as well as implementations. Style and approach This book will be your comprehensive guide to learning the various data mining techniques and implementing them in Python. A variety of real-world datasets is used to explain data mining techniques in a very crisp...
    Note: Description based on online resource; title from title page (viewed May 16, 2017)
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    Practical real-time data processing and analytics : distributed computing and event processing using Apache Spark, Flink, Storm, and Kafka (2017)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781787289864 , 1787289869
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Spark (Electronic resource : Apache Software Foundation) ; Storm (Electronic resource) ; Big data ; Data mining ; Electronic data processing ; Distributed processing ; Management ; Electronic books ; Electronic books ; local
    Abstract: A practical guide to help you tackle different real-time data processing and analytics problems using the best tools for each scenario About This Book Learn about the various challenges in real-time data processing and use the right tools to overcome them This book covers popular tools and frameworks such as Spark, Flink, and Apache Storm to solve all your distributed processing problems A practical guide filled with examples, tips, and tricks to help you perform efficient Big Data processing in real-time Who This Book Is For If you are a Java developer who would like to be equipped with all the tools required to devise an end-to-end practical solution on real-time data streaming, then this book is for you. Basic knowledge of real-time processing would be helpful, and knowing the fundamentals of Maven, Shell, and Eclipse would be great. What You Will Learn Get an introduction to the established real-time stack Understand the key integration of all the components Get a thorough understanding of the basic building blocks for real-time solution designing Garnish the search and visualization aspects for your real-time solution Get conceptually and practically acquainted with real-time analytics Be well equipped to apply the knowledge and create your own solutions In Detail With the rise of Big Data, there is an increasing need to process large amounts of data continuously, with a shorter turnaround time. Real-time data processing involves continuous input, processing and output of data, with the condition that the time required for processing is as short as possible. This book covers the majority of the existing and evolving open source technology stack for real-time processing and analytics. You will get to know about all the real-time solution aspects, from the source to the presentation to persistence. Through this practical book, you'll be equipped with a clear understanding of how to solve challenges on your own. We'll cover topics such as how to set up components, basic executions, integrations, advanced use cases, alerts, and monitoring. You'll be exposed to the popular tools used in real-time processing today such as Apache Spark, Apache Flink, and Storm. Finally, you will put your knowledge to practical use by implementing all of the techniques in the form of a practical, real-world use case. By the end of this book, you will have a solid understanding of all the aspects of real-time data processing and analytics, and will know how to dep...
    Note: Description based on online resource; title from title page (Safari, viewed October 31, 2017)
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    Learning Google BigQuery : a beginner's guide to mining massive datasets through interactive analysis (2017)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781787286290 , 1787286290
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Parallel Title: Erscheint auch als
    Keywords: Google BigQuery ; Google Analytics ; Data mining
    Note: Description based on online resource; title from title page (viewed January 31, 2018)
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: https://learning.oreilly.com/library/view/-/9781787288591/?ar
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    Learning Elasticsearch : distributed real-time search and analytics with Elasticsearch 5.x (2017)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 1787129918 , 9781787128453 , 9781787129917
    Language: English
    Pages: 1 Online-Ressource (1 volume) , illustrations
    Edition: Online-Ausg.
    Parallel Title: Erscheint auch als Andhavarapu, Abhishek Learning Elasticsearch
    DDC: 005.7
    Keywords: Lucene (Electronic resource) ; Web search engines ; Open source software ; Data mining
    URL: Volltext  (Connect to this resource online)
    URL: Volltext
    URL: https://learning.oreilly.com/library/view/-/9781787128453/?ar
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    Mastering Java for data science : building data science applications in Java (2017)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781785887390 , 1785887394
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Java (Computer program language) ; Data mining ; Electronic books ; Electronic books ; local
    Abstract: Use Java to create a diverse range of Data Science applications and bring Data Science into production About This Book An overview of modern Data Science and Machine Learning libraries available in Java Coverage of a broad set of topics, going from the basics of Machine Learning to Deep Learning and Big Data frameworks. Easy-to-follow illustrations and the running example of building a search engine. Who This Book Is For This book is intended for software engineers who are comfortable with developing Java applications and are familiar with the basic concepts of data science. Additionally, it will also be useful for data scientists who do not yet know Java but want or need to learn it. If you are willing to build efficient data science applications and bring them in the enterprise environment without changing the existing stack, this book is for you! What You Will Learn Get a solid understanding of the data processing toolbox available in Java Explore the data science ecosystem available in Java Find out how to approach different machine learning problems with Java Process unstructured information such as natural language text or images Create your own search engine Get state-of-the-art performance with XGBoost Learn how to build deep neural networks with DeepLearning4j Build applications that scale and process large amounts of data Deploy data science models to production and evaluate their performance In Detail Java is the most popular programming language, according to the TIOBE index, and it is a typical choice for running production systems in many companies, both in the startup world and among large enterprises. Not surprisingly, it is also a common choice for creating data science applications: it is fast and has a great set of data processing tools, both built-in and external. What is more, choosing Java for data science allows you to easily integrate solutions with existing software, and bring data science into production with less effort. This book will teach you how to create data science applications with Java. First, we will revise the most important things when starting a data science application, and then brush up the basics of Java and machine learning before diving into more advanced topics. We start by going over the existing libraries for data processing and libraries with machine learning algorithms. After that, we cover topics such as classification and regression, dimensionality reduction and clustering, information retrie...
    Note: Description based on online resource; title from title page (viewed May 15, 2017)
    URL: https://learning.oreilly.com/library/view/-/9781782174271/?ar
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    Stream Analytics with Microsoft Azure : real-time data processing for quick insights using Azure Stream Analytics (2017)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781788390620 , 1788390628
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Parallel Title: Erscheint auch als
    Keywords: Microsoft Azure (Computing platform) ; Cloud computing ; Data mining
    Note: Description based on online resource; title from title page (viewed January 10, 2018)
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: https://learning.oreilly.com/library/view/-/9781788395908/?ar
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    IBM SPSS Modeler essentials : effective techniques for building powerful data mining and predictive analytics solutions (2017)
    Birmingham, UK : Packt Publishing
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: SPSS (Computer file) ; Data mining ; Electronic books ; Electronic books ; local
    Abstract: Get to grips with the fundamentals of data mining and predictive analytics with IBM SPSS Modeler About This Book Get up?and-running with IBM SPSS Modeler without going into too much depth. Identify interesting relationships within your data and build effective data mining and predictive analytics solutions A quick, easy?to-follow guide to give you a fundamental understanding of SPSS Modeler, written by the best in the business Who This Book Is For This book is ideal for those who are new to SPSS Modeler and want to start using it as quickly as possible, without going into too much detail. An understanding of basic data mining concepts will be helpful, to get the best out of the book. What You Will Learn Understand the basics of data mining and familiarize yourself with Modeler's visual programming interface Import data into Modeler and learn how to properly declare metadata Obtain summary statistics and audit the quality of your data Prepare data for modeling by selecting and sorting cases, identifying and removing duplicates, combining data files, and modifying and creating fields Assess simple relationships using various statistical and graphing techniques Get an overview of the different types of models available in Modeler Build a decision tree model and assess its results Score new data and export predictions In Detail IBM SPSS Modeler allows users to quickly and efficiently use predictive analytics and gain insights from your data. With almost 25 years of history, Modeler is the most established and comprehensive Data Mining workbench available. Since it is popular in corporate settings, widely available in university settings, and highly compatible with all the latest technologies, it is the perfect way to start your Data Science and Machine Learning journey. This book takes a detailed, step-by-step approach to introducing data mining using the de facto standard process, CRISP-DM, and Modeler's easy to learn ?visual programming? style. You will learn how to read data into Modeler, assess data quality, prepare your data for modeling, find interesting patterns and relationships within your data, and export your predictions. Using a single case study throughout, this intentionally short and focused book sticks to the essentials. The authors have drawn upon their decades of teaching thousands of new users, to choose those aspects of Modeler that you should learn first, so that you get off to a good start using proven best practices. This bo...
    Note: Description based on online resource; title from title page (viewed February 5, 2018)
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    R : mining spatial, text, web, and social media data : create and customize data mioning algorithms : a course in three modules (2017)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781788290814 , 178829081X
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Data mining ; R (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Create data mining algorithms About This Book Develop a strong strategy to solve predictive modeling problems using the most popular data mining algorithms Real-world case studies will take you from novice to intermediate to apply data mining techniques Deploy cutting-edge sentiment analysis techniques to real-world social media data using R Who This Book Is For This Learning Path is for R developers who are looking to making a career in data analysis or data mining. Those who come across data mining problems of different complexities from web, text, numerical, political, and social media domains will find all information in this single learning path. What You Will Learn Discover how to manipulate data in R Get to know top classification algorithms written in R Explore solutions written in R based on R Hadoop projects Apply data management skills in handling large data sets Acquire knowledge about neural network concepts and their applications in data mining Create predictive models for classification, prediction, and recommendation Use various libraries on R CRAN for data mining Discover more about data potential, the pitfalls, and inferencial gotchas Gain an insight into the concepts of supervised and unsupervised learning Delve into exploratory data analysis Understand the minute details of sentiment analysis In Detail Data mining is the first step to understanding data and making sense of heaps of data. Properly mined data forms the basis of all data analysis and computing performed on it. This learning path will take you from the very basics of data mining to advanced data mining techniques, and will end up with a specialized branch of data mining - social media mining. You will learn how to manipulate data with R using code snippets and how to mine frequent patterns, association, and correlation while working with R programs. You will discover how to write code for various predication models, stream data, and time-series data. You will also be introduced to solutions written in R based on R Hadoop projects. Now that you are comfortable with data mining with R, you will move on to implementing your knowledge with the help of end-to-end data mining projects. You will learn how to apply different mining concepts to various statistical and data applications in a wide range of fields. At this stage, you will be able to complete complex data mining cases and handle any issues you might encounter during projects. After this, you will gain hands...
    Note: "Bater Makhabel, Pradeepta Mishra, Nathan Danneman, Richard Heimann."--Cover. - "Learning path"--Cover. - Includes bibliographical references and index. - Description based on online resource; title from title page (viewed July 6, 2017)
    URL: https://learning.oreilly.com/library/view/-/9781788293747/?ar
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    Hands-on data science and Python machine learning : perform data mining and machine learning efficiently using Python and Spark (2017)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781787280229 , 1787280225
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Spark (Electronic resource : Apache Software Foundation) ; Python (Computer program language) ; Machine learning ; Data mining ; Artificial intelligence ; Electronic books ; Electronic books ; local
    Abstract: This book covers the fundamentals of machine learning with Python in a concise and dynamic manner. It covers data mining and large-scale machine learning using Apache Spark. About This Book Take your first steps in the world of data science by understanding the tools and techniques of data analysis Train efficient Machine Learning models in Python using the supervised and unsupervised learning methods Learn how to use Apache Spark for processing Big Data efficiently Who This Book Is For If you are a budding data scientist or a data analyst who wants to analyze and gain actionable insights from data using Python, this book is for you. Programmers with some experience in Python who want to enter the lucrative world of Data Science will also find this book to be very useful, but you don't need to be an expert Python coder or mathematician to get the most from this book. What You Will Learn Learn how to clean your data and ready it for analysis Implement the popular clustering and regression methods in Python Train efficient machine learning models using decision trees and random forests Visualize the results of your analysis using Python's Matplotlib library Use Apache Spark's MLlib package to perform machine learning on large datasets In Detail Join Frank Kane, who worked on Amazon and IMDb's machine learning algorithms, as he guides you on your first steps into the world of data science. Hands-On Data Science and Python Machine Learning gives you the tools that you need to understand and explore the core topics in the field, and the confidence and practice to build and analyze your own machine learning models. With the help of interesting and easy-to-follow practical examples, Frank Kane explains potentially complex topics such as Bayesian methods and K-means clustering in a way that anybody can understand them. Based on Frank's successful data science course, Hands-On Data Science and Python Machine Learning empowers you to conduct data analysis and perform efficient machine learning using Python. Let Frank help you unearth the value in your data using the various data mining and data analysis techniques available in Python, and to develop efficient predictive models to predict future results. You will also learn how to perform large-scale machine learning on Big Data using Apache Spark. The book covers preparing your data for analysis, training machine learning models, and visualizing the final data analysis. Style and approach This comprehen...
    Note: Description based on online resource; title from title page (Safari, viewed August 18, 2017)
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  • 90
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    Python social media analytics : analyze and visualize data from Twitter, YouTube, GitHub, and more (2017)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781787126756 , 1787126757
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Python (Computer program language) ; Data mining ; Social media ; Electronic books ; Electronic books ; local
    Abstract: Leverage the power of Python to collect, process, and mine deep insights from social media data About This Book Acquire data from various social media platforms such as Facebook, Twitter, YouTube, GitHub, and more Analyze and extract actionable insights from your social data using various Python tools A highly practical guide to conducting efficient social media analytics at scale Who This Book Is For If you are a programmer or a data analyst familiar with the Python programming language and want to perform analyses of your social data to acquire valuable business insights, this book is for you. The book does not assume any prior knowledge of any data analysis tool or process. What You Will Learn Understand the basics of social media mining Use PyMongo to clean, store, and access data in MongoDB Understand user reactions and emotion detection on Facebook Perform Twitter sentiment analysis and entity recognition using Python Analyze video and campaign performance on YouTube Mine popular trends on GitHub and predict the next big technology Extract conversational topics on public internet forums Analyze user interests on Pinterest Perform large-scale social media analytics on the cloud In Detail Social Media platforms such as Facebook, Twitter, Forums, Pinterest, and YouTube have become part of everyday life in a big way. However, these complex and noisy data streams pose a potent challenge to everyone when it comes to harnessing them properly and benefiting from them. This book will introduce you to the concept of social media analytics, and how you can leverage its capabilities to empower your business. Right from acquiring data from various social networking sources such as Twitter, Facebook, YouTube, Pinterest, and social forums, you will see how to clean data and make it ready for analytical operations using various Python APIs. This book explains how to structure the clean data obtained and store in MongoDB using PyMongo. You will also perform web scraping and visualize data using Scrappy and Beautifulsoup. Finally, you will be introduced to different techniques to perform analytics at scale for your social data on the cloud, using Python and Spark. By the end of this book, you will be able to utilize the power of Python to gain valuable insights from social media data and use them to enhance your business processes. Style and approach This book follows a step-by-step approach to teach readers the concepts of social media analytics using th...
    Note: Description based on online resource; title from title page (Safari, viewed August 14, 2017)
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  • 91
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    Learning Spark SQL : architect streaming analytics and machine learning solutions (2017)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781785887352 , 1785887351
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Spark (Electronic resource : Apache Software Foundation) ; Data mining ; Big data ; Application software ; Development ; Electronic books ; Electronic books ; local
    Abstract: Design, implement, and deliver successful streaming applications, machine learning pipelines and graph applications using Spark SQL API About This Book Learn about the design and implementation of streaming applications, machine learning pipelines, deep learning, and large-scale graph processing applications using Spark SQL APIs and Scala. Learn data exploration, data munging, and how to process structured and semi-structured data using real-world datasets and gain hands-on exposure to the issues and challenges of working with noisy and "dirty" real-world data. Understand design considerations for scalability and performance in web-scale Spark application architectures. Who This Book Is For If you are a developer, engineer, or an architect and want to learn how to use Apache Spark in a web-scale project, then this is the book for you. It is assumed that you have prior knowledge of SQL querying. A basic programming knowledge with Scala, Java, R, or Python is all you need to get started with this book. What You Will Learn Familiarize yourself with Spark SQL programming, including working with DataFrame/Dataset API and SQL Perform a series of hands-on exercises with different types of data sources, including CSV, JSON, Avro, MySQL, and MongoDB Perform data quality checks, data visualization, and basic statistical analysis tasks Perform data munging tasks on publically available datasets Learn how to use Spark SQL and Apache Kafka to build streaming applications Learn key performance-tuning tips and tricks in Spark SQL applications Learn key architectural components and patterns in large-scale Spark SQL applications In Detail In the past year, Apache Spark has been increasingly adopted for the development of distributed applications. Spark SQL APIs provide an optimized interface that helps developers build such applications quickly and easily. However, designing web-scale production applications using Spark SQL APIs can be a complex task. Hence, understanding the design and implementation best practices before you start your project will help you avoid these problems. This book gives an insight into the engineering practices used to design and build real-world, Spark-based applications. The book's hands-on examples will give you the required confidence to work on any future projects you encounter in Spark SQL. It starts by familiarizing you with data exploration and data munging tasks using Spark SQL and Scala. Extensive code examples will help yo...
    Note: Description based on online resource; title from title page (viewed October 3, 2017)
    URL: https://learning.oreilly.com/library/view/-/9781785888359/?ar
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  • 92
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    Implementing Qlik Sense : design, develop, and validate BI solutions for consultants (2017)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781786466600 , 1786466600
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Management information systems ; Business intelligence ; Computer programs ; Information visualization ; Data mining ; Electronic books ; Electronic books ; local
    Abstract: Become a full-fledged Qlik Sense Consultant with the help of this unique guide About This Book Become a successful Qlik consultant with the help of this insightful guide Build what is in line as well as exceeding your customer's expectations from your Qlik Sense solutions using this highly practical guide Build result-driven optimized BI solutions using Qlik with the help of industry examples Who This Book Is For If you have basic familiarity with Qlik Sense and want to upgrade your skills to become a full-fledged Qlik Consultant, this book is for you. With this book, you will be able to create efficient business intelligence solutions that would fetch client satisfaction, and in turn, more projects. What You Will Learn Understand the importance and expectations of a consultant's role Engage with the customer to understand the ir goals and future objectives Design the optimum architecture, using the best practices for the development and implementation of your projects Ensure successful adoption using real-life examples to make your learning complete Learn about the important stages of a Qlik project's life cycle In Detail Qlik Sense is a leading platform for business intelligence (BI) solutions. Qlik Sense helps organizations in making informed decisions based on the data they have. This book will teach you how to effectively use Qlik for optimum customer satisfaction. You will undergo a metamorphosis from a developer to a consultant who is capable of building the most suitable BI solutions for your clients. The book will take you through several business cases ? this will give you enough insight to understand the needs of the client clearly and build a BI solution that meets or exceeds their expectations. Starting from the pre-project activities, you will go to the actual execution of the project, the implementation, and even maintenance. This book will give you all the information you need - from the strategy to requirement gathering to implementing BI solutions using Qlik Sense. The book will empower you to take the right decisions in tricky and diffi cult situations while developing analytics and dashboards. Style and approach This book will be a hands-on guide that will teach you all the what-to-do's, when-to-do's, and how-to-do's for becoming a successful Qlik Sense Consultant. With the help of various business scenarios, the book will cover real-world problems that you can relate to. Various solutions in the book will be backed up by t...
    Note: Description based on online resource; title from title page (Safari, viewed November 10, 2017)
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  • 93
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    Practical data science cookbook : practical recipes on data pre-processing, analysis and visualization using R and Python (2017)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781787129627
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Object-oriented programming (Computer science) ; Data mining ; Mathematical statistics ; Data processing ; Python (Computer program language) ; R (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Over 85 recipes to help you complete real-world data science projects in R and Python About This Book Tackle every step in the data science pipeline and use it to acquire, clean, analyze, and visualize your data Get beyond the theory and implement real-world projects in data science using R and Python Easy-to-follow recipes will help you understand and implement the numerical computing concepts Who This Book Is For If you are an aspiring data scientist who wants to learn data science and numerical programming concepts through hands-on, real-world project examples, this is the book for you. Whether you are brand new to data science or you are a seasoned expert, you will benefit from learning about the structure of real-world data science projects and the programming examples in R and Python. What You Will Learn Learn and understand the installation procedure and environment required for R and Python on various platforms Prepare data for analysis by implement various data science concepts such as acquisition, cleaning and munging through R and Python Build a predictive model and an exploratory model Analyze the results of your model and create reports on the acquired data Build various tree-based methods and Build random forest In Detail As increasing amounts of data are generated each year, the need to analyze and create value out of it is more important than ever. Companies that know what to do with their data and how to do it well will have a competitive advantage over companies that don't. Because of this, there will be an increasing demand for people that possess both the analytical and technical abilities to extract valuable insights from data and create valuable solutions that put those insights to use. Starting with the basics, this book covers how to set up your numerical programming environment, introduces you to the data science pipeline, and guides you through several data projects in a step-by-step format. By sequentially working through the steps in each chapter, you will quickly familiarize yourself with the process and learn how to apply it to a variety of situations with examples using the two most popular programming languages for data analysis-R and Python. Style and approach This step-by-step guide to data science is full of hands-on examples of real-world data science tasks. Each recipe focuses on a particular task involved in the data science pipeline, ranging from readying the dataset to analytics and visualization Downloa...
    Note: Previous edition published: 2014. - Description based on online resource; title from title page (Safari, viewed July 26, 2017)
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  • 94
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    Learning Apache Apex : Real-time streaming applications with Apex (2017)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781788294119 , 1788294114
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Parallel Title: Erscheint auch als
    Keywords: Apache Apex ; Data mining ; Big data
    Note: Description based on online resource; title from title page (viewed January 9, 2018)
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: https://learning.oreilly.com/library/view/-/9781788296403/?ar
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  • 95
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    R data mining : implement data mining techniques through practical use cases and real-world datasets (2017)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781787129238 , 1787129233
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Parallel Title: Erscheint auch als
    RVK:
    ST 530
    Keywords: Data mining ; R (Computer program language) ; R ; Data Mining ; R ; Data Mining
    Note: Description based on online resource; title from title page (Safari, viewed January 9, 2018)
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: https://learning.oreilly.com/library/view/-/9781787124462/?ar
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  • 96
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    Mastering Spark for data science : master the techniques and sophisticated analytics used to construct Spark-based solutions that scale to deliver production-grade data science products (2017)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781785888281 , 1785888285
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Spark (Electronic resource : Apache Software Foundation) ; Data mining ; Machine learning ; Big data ; Electronic books ; Electronic books ; local
    Abstract: Master the techniques and sophisticated analytics used to construct Spark-based solutions that scale to deliver production-grade data science products About This Book Develop and apply advanced analytical techniques with Spark Learn how to tell a compelling story with data science using Spark's ecosystem Explore data at scale and work with cutting edge data science methods Who This Book Is For This book is for those who have beginner-level familiarity with the Spark architecture and data science applications, especially those who are looking for a challenge and want to learn cutting edge techniques. This book assumes working knowledge of data science, common machine learning methods, and popular data science tools, and assumes you have previously run proof of concept studies and built prototypes. What You Will Learn Learn the design patterns that integrate Spark into industrialized data science pipelines See how commercial data scientists design scalable code and reusable code for data science services Explore cutting edge data science methods so that you can study trends and causality Discover advanced programming techniques using RDD and the DataFrame and Dataset APIs Find out how Spark can be used as a universal ingestion engine tool and as a web scraper Practice the implementation of advanced topics in graph processing, such as community detection and contact chaining Get to know the best practices when performing Extended Exploratory Data Analysis, commonly used in commercial data science teams Study advanced Spark concepts, solution design patterns, and integration architectures Demonstrate powerful data science pipelines In Detail Data science seeks to transform the world using data, and this is typically achieved through disrupting and changing real processes in real industries. In order to operate at this level you need to build data science solutions of substance ?solutions that solve real problems. Spark has emerged as the big data platform of choice for data scientists due to its speed, scalability, and easy-to-use APIs. This book deep dives into using Spark to deliver production-grade data science solutions. This process is demonstrated by exploring the construction of a sophisticated global news analysis service that uses Spark to generate continuous geopolitical and current affairs insights.You will learn all about the core Spark APIs and take a comprehensive tour of advanced libraries, including Spark SQL, Spark Streaming, MLli...
    Note: Description based on online resource; title from cover (Safari, viewed April 19, 2017)
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  • 97
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    Pandas cookbook : recipes for scientific computing, time series analysis and data visualization using Python (2017)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781784393342 , 1784393347
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Python (Computer program language) ; Management ; Data processing ; Machine learning ; Information visualization ; Data mining ; Electronic data processing ; Electronic books ; Electronic books ; local
    Abstract: Over 95 hands-on recipes to leverage the power of pandas for efficient scientific computation and data analysis About This Book Use the power of pandas to solve most complex scientific computing problems with ease Leverage fast, robust data structures in pandas to gain useful insights from your data Practical, easy to implement recipes for quick solutions to common problems in data using pandas Who This Book Is For This book is for data scientists, analysts and Python developers who wish to explore data analysis and scientific computing in a practical, hands-on manner. The recipes included in this book are suitable for both novice and advanced users, and contain helpful tips, tricks and caveats wherever necessary. Some understanding of pandas will be helpful, but not mandatory. What You Will Learn Master the fundamentals of pandas to quickly begin exploring any dataset Isolate any subset of data by properly selecting and querying the data Split data into independent groups before applying aggregations and transformations to each group Restructure data into tidy form to make data analysis and visualization easier Prepare real-world messy datasets for machine learning Combine and merge data from different sources through pandas SQL-like operations Utilize pandas unparalleled time series functionality Create beautiful and insightful visualizations through pandas direct hooks to Matplotlib and Seaborn In Detail This book will provide you with unique, idiomatic, and fun recipes for both fundamental and advanced data manipulation tasks with pandas. Some recipes focus on achieving a deeper understanding of basic principles, or comparing and contrasting two similar operations. Other recipes will dive deep into a particular dataset, uncovering new and unexpected insights along the way. The pandas library is massive, and it's common for frequent users to be unaware of many of its more impressive features. The official pandas documentation, while thorough, does not contain many useful examples of how to piece together multiple commands like one would do during an actual analysis. This book guides you, as if you were looking over the shoulder of an expert, through practical situations that you are highly likely to encounter. Many advanced recipes combine several different features across the pandas library to generate results. Style and approach The author relies on his vast experience teaching pandas in a professional setting to deliver very detailed exp...
    Note: Description based on online resource; title from title page (Safari, viewed November 14, 2017)
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  • 98
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    Splunk : enterprise operational intelligence delivered : demystify big data and discover how to bring operational intelligence to your data to revolutionize your work (2017)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781787288256 , 1787288250
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Enterprise resource planning ; Management information systems ; Electronic data processing ; Data mining ; Big data ; Electronic books ; Electronic books ; local
    Abstract: Demystify Big Data and discover how to bring operational intelligence to your data to revolutionize your work About This Book Get maximum use out of your data with Splunk's exceptional analysis and visualization capabilities Analyze and understand your operational data skillfully using this end-to-end course Full coverage of high-level Splunk techniques such as advanced searches, manipulations, and visualization Who This Book Is For This course is for software developers who wish to use Splunk for operational intelligence to make sense of their machine data. The content in this course will appeal to individuals from all facets of business, IT, security, product, marketing, and many more What You Will Learn Install and configure the latest version of Splunk. Use Splunk to gather, analyze, and report data Create Dashboards and Visualizations that make data meaningful Model and accelerate data and perform pivot-based reporting Integrate advanced JavaScript charts and leverage Splunk's APIs Develop and Manage apps in Splunk Integrate Splunk with R and Tableau using SDKs In Detail Splunk is an extremely powerful tool for searching, exploring, and visualizing data of all types. Splunk is becoming increasingly popular, as more and more businesses, both large and small, discover its ease and usefulness. Analysts, managers, students, and others can quickly learn how to use the data from their systems, networks, web traffic, and social media to make attractive and informative reports. This course will teach everything right from installing and configuring Splunk. The first module is for anyone who wants to manage data with Splunk. You'll start with very basics of Splunk - installing Splunk - before then moving on to searching machine data with Splunk. You will gather data from different sources, isolate them by indexes, classify them into source types, and tag them with the essential fields. With more than 70 recipes on hand in the second module that demonstrate all of Splunk's features, not only will you find quick solutions to common problems, but you'll also learn a wide range of strategies and uncover new ideas that will make you rethink what operational intelligence means to you and your organization. Dive deep into Splunk to find the most efficient solution to your data problems in the third module. Create the robust Splunk solutions you need to make informed decisions in big data machine analytics. From visualizations to enterprise integration,...
    Note: "Learning path.". - Includes bibliographical references and index. - Description based on online resource; title from cover (viewed April 18, 2017)
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    Frank Kane's Taming big data with Apache Spark and Python : real-world examples to help you analyze large datasets with Apache Spark (2017)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781787288300 , 1787288307
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: SPARK (Electronic resource) ; Data mining ; Python (Computer program language) ; Big data ; Electronic books ; Electronic books ; local
    Abstract: Frank Kane's hands-on Spark training course, based on his bestselling Taming Big Data with Apache Spark and Python video, now available in a book. Understand and analyze large data sets using Spark on a single system or on a cluster. About This Book Understand how Spark can be distributed across computing clusters Develop and run Spark jobs efficiently using Python A hands-on tutorial by Frank Kane with over 15 real-world examples teaching you Big Data processing with Spark Who This Book Is For If you are a data scientist or data analyst who wants to learn Big Data processing using Apache Spark and Python, this book is for you. If you have some programming experience in Python, and want to learn how to process large amounts of data using Apache Spark, Frank Kane's Taming Big Data with Apache Spark and Python will also help you. What You Will Learn Find out how you can identify Big Data problems as Spark problems Install and run Apache Spark on your computer or on a cluster Analyze large data sets across many CPUs using Spark's Resilient Distributed Datasets Implement machine learning on Spark using the MLlib library Process continuous streams of data in real time using the Spark streaming module Perform complex network analysis using Spark's GraphX library Use Amazon's Elastic MapReduce service to run your Spark jobs on a cluster In Detail Frank Kane's Taming Big Data with Apache Spark and Python is your companion to learning Apache Spark in a hands-on manner. Frank will start you off by teaching you how to set up Spark on a single system or on a cluster, and you'll soon move on to analyzing large data sets using Spark RDD, and developing and running effective Spark jobs quickly using Python. Apache Spark has emerged as the next big thing in the Big Data domain ? quickly rising from an ascending technology to an established superstar in just a matter of years. Spark allows you to quickly extract actionable insights from large amounts of data, on a real-time basis, making it an essential tool in many modern businesses. Frank has packed this book with over 15 interactive, fun-filled examples relevant to the real world, and he will empower you to understand the Spark ecosystem and implement production-grade real-time Spark projects with ease. Style and approach Frank Kane's Taming Big Data with Apache Spark and Python is a hands-on tutorial with over 15 real-world examples carefully explained by Frank in a step-by-step manner. The examples vary i...
    Note: Description based on online resource; title from title page (Safari, viewed July 24, 2017)
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    Practical data wrangling : expert techniques for transforming your raw data into a valuable source for analytics (2017)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781787283671 , 1787283674
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Data mining ; Big data ; Electronic books ; Electronic books ; local
    Abstract: Turn your noisy data into relevant, insight-ready information by leveraging the data wrangling techniques in Python and R About This Book This easy-to-follow guide takes you through every step of the data wrangling process in the best possible way Work with different types of datasets, and reshape the layout of your data to make it easier for analysis Get simple examples and real-life data wrangling solutions for data pre-processing Who This Book Is For If you are a data scientist, data analyst, or a statistician who wants to learn how to wrangle your data for analysis in the best possible manner, this book is for you. As this book covers both R and Python, some understanding of them will be beneficial. What You Will Learn Read a csv file into python and R, and print out some statistics on the data Gain knowledge of the data formats and programming structures involved in retrieving API data Make effective use of regular expressions in the data wrangling process Explore the tools and packages available to prepare numerical data for analysis Find out how to have better control over manipulating the structure of the data Create a dexterity to programmatically read, audit, correct, and shape data Write and complete programs to take in, format, and output data sets In Detail Around 80% of time in data analysis is spent on cleaning and preparing data for analysis. This is, however, an important task, and is a prerequisite to the rest of the data analysis workflow, including visualization, analysis and reporting. Python and R are considered a popular choice of tool for data analysis, and have packages that can be best used to manipulate different kinds of data, as per your requirements. This book will show you the different data wrangling techniques, and how you can leverage the power of Python and R packages to implement them. You'll start by understanding the data wrangling process and get a solid foundation to work with different types of data. You'll work with different data structures and acquire and parse data from various locations. You'll also see how to reshape the layout of data and manipulate, summarize, and join data sets. Finally, we conclude with a quick primer on accessing and processing data from databases, conducting data exploration, and storing and retrieving data quickly using databases. The book includes practical examples on each of these points using simple and real-world data sets to give you an easier understanding. By the en...
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