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  • 2015-2019  (19)
  • Safari, an O'Reilly Media Company.  (19)
  • Springer Fachmedien Wiesbaden GmbH
  • [Erscheinungsort nicht ermittelbar] : Packt Publishing  (19)
Datasource
Material
Language
Years
Year
Author, Corporation
Publisher
Keywords
  • 1
    Online Resource
    Online Resource
    Complete Practical LINQ Tutorial in C# (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800201255
    Language: English
    Pages: 1 online resource (1 video file, approximately 4 hr., 40 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: A hands-on course walking you through the different parts of LINQ framework. About This Video Understand all the LINQ operations Filtering, ordering, and projecting with LINQ Aggregating with LINQ In Detail Extension methods were introduced in C# 3 and since then have become an indispensable part of the .NET platform. This enormously powerful feature has allowed us to build a whole framework built upon it called LINQ or Language Integrated Query. I've seen many code bases that avoid using LINQ and rely on the old procedural style of programming. If you still feel yourself uncomfortable with LINQ or you want to improve your understanding of LINQ, then this course is for you. As you might know, LINQ was inspired by functional paradigm and F# in particular. So, this course is not only about LINQ but about the fundamentals of functional programming as well. This course covers: The basics of LINQ: extension methods, the idea of pipelining, IEnumerable, implementing our own extension, query syntax, pitfalls of LINQ operations, how to alter a list Generating data streams: Enumerable class and its main operations, implementing your own extension which generates a stream of data Filtering, ordering, projecting: parsing a CSV file, then, First, Last, Single, TakeWhile, SkipWhile, Any, All, Contains, SequenceEqual, Select and SelectMany Joining, grouping, aggregating: Join, Group, GroupJoin, Zip, Sum, Average, Min, Max Conversions: OfType, Cast, ToArray, ToList, ToDictionary, ToLookup, AsEnumerable, AsQueryable LINQ to XML: overview, generating XML from a collection, reading XML EF and LINQ: expression trees, inserting into and reading from a database Extendibility in C#: what is functional programming (FP), purity and side effects, extending IDisposable, general-purpose extensions, extending StringBuilder, Primitive Obsession Enroll now and start learning LINQ and the fundamentals of functional programming.
    Note: Online resource; Title from title screen (viewed December 30, 2019) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    Online Resource
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  • 2
    Online Resource
    Online Resource
    Object-oriented Programming with Python - A Practical Guide (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781839216855
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 43 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn Object-oriented Programming in Python-beginner-level! (Exercises + cheat sheets + better Coding)! About This Video Master Object-Oriented Programming (and its principles) in Python Learn every important topics-classes, objects, inheritance, abstraction, and more with proper examples Access Python cheat sheets to master core Python concepts Understand how Object-Oriented Programming Is more efficient than Procedure-Oriented Programming In Detail Welcome to Object-Oriented Programming With Python-A Practical Guide, a one-stop course that will kick-start your object-oriented journey step-by-step, This course covers every important concept of OOPS with its latest version Python 3.7. OOP is one of the most important programming concepts because it: Makes visualization easier (as closest as possible to real-world scenarios) Reuses code, saves time, reduces code lines, and shrinks your project. Makes code readable by adding a structure to data with related methods. Uses modularity for easier troubleshooting Reuses code through inheritance Imparts flexibility through polymorphism This course will help you explore classes, objects, abstraction, encapsulation, inheritance, and polymorphism. We also focus on the DRY (Don't Repeat Yourself) approach to improving our code-writing and problem-solving skills. Throughout the course, you will get tons of quiz, sample code, and theory material to help you revise the course effectively. After completing this course, you will have attained the industry standard and will be ready to work as an intern, fresher, or freelancer; you will also be able to implement everything you need on your website.
    Note: Online resource; Title from title screen (viewed September 12, 2019) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Learn T-SQL Querying (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (484 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Troubleshoot query performance issues, identify anti-patterns in code, and write efficient T-SQL queries Key Features Discover T-SQL functionalities and services that help you interact with relational databases Understand the roles, tasks, and responsibilities of a T-SQL developer Explore solutions for carrying out database querying tasks, database administration, and troubleshooting Book Description Transact-SQL (T-SQL) is Microsoft's proprietary extension to the SQL language that is used with Microsoft SQL Server and Azure SQL Database. This book will be a useful guide to learning the art of writing efficient T-SQL code in modern SQL Server versions as well as the Azure SQL Database. The book will get you started with query processing fundamentals to help you write powerful, performant T-SQL queries. You will then focus on query execution plans and leverage them for troubleshooting. In later chapters, you will explain how to identify various T-SQL patterns and anti-patterns. This will help you analyze execution plans to gain insights into current performance, and determine whether or not a query is scalable. You will also build diagnostic queries using dynamic management views (DMVs) and dynamic management functions (DMFs) to address various challenges in T-SQL execution. Next, you will work with the built-in tools of SQL Server to shorten the time taken to address query performance and scalability issues. In the concluding chapters, the book will guide you through implementing various features, such as Extended Events, Query Store, and Query Tuning Assistant, using hands-on examples. By the end of this book, you will have developed the skills to determine query performance bottlenecks, avoid pitfalls, and discover the anti-patterns in use. Foreword by Conor Cunningham, Partner Architect - SQL Server and Azure SQL - Microsoft What you will learn Use Query Store to understand and easily change query performance Recognize and eliminate bottlenecks that lead to slow performance Deploy quick fixes and long-term solutions to improve query performance Implement best practices to minimize performance risk using T-SQL Achieve optimal performance by ensuring careful query and index design Use the latest performance optimization features in SQL Server 2017 and SQL Server 2019 Protect query performance during upgrades to newer versions of SQL Server Who this book is for This book is for database administrators, database developers, data analysts, data ...
    Note: Online resource; Title from title page (viewed May 3, 2019) , Mode of access: World Wide Web.
    URL: https://learning.oreilly.com/library/view/-/9781789348811/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    Hands-On Computer Vision with TensorFlow 2 (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781788830645
    Language: English
    Pages: 1 online resource (372 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: A practical guide to building high performance systems for object detection, segmentation, video processing, smartphone applications, and more Key Features Discover how to build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Learn how to run your models on mobile devices and web pages and improve their performance Book Description Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. This book will help you explore TensorFlow 2, the brand new version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. Hands-On Computer Vision with TensorFlow 2 starts with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the book demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative adversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts. By the end of the book, you will have both the theoretical understanding and practical skills to solve advanced computer vision problems with TensorFlow 2.0. What you will learn Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Who this book is for If you'r...
    Note: Online resource; Title from title page (viewed May 30, 2019) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 5
    Online Resource
    Online Resource
    Excel Pro Tips : 75+ Tips to go from Excel Beginner to Pro%% (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800203709
    Language: English
    Pages: 1 online resource (1 video file, approximately 10 hr., 27 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Master 75+ Excel tips and techniques and become a certified POWER USER, with unique hands-on demos and real-world projects to help you wrangle, analyze, and visualize your data in Excel. About This Video Master some of the most powerful and effective tools and techniques used by Excel professionals Unique hands-on demos and real-world case studies Learn tools and techniques in quick, bite-sized lessons In Detail This course is not an introduction to Excel. It features some of the most powerful and effective tools and techniques used by Excel professionals, and shares them through crystal-clear demos and unique, real-world case studies. Unlike most Excel courses, this course is non-linear and constantly evolving, which means that you can jump to different sections or individual lectures freely. Each video is designed to be an independent and self-contained demo, to help you learn these tools and techniques in quick, bite-sized lessons. The Excel tips and techniques covered in this course fall into six categories: Productivity tips (navigation, flash fill, cell protection, advanced sorting & filtering, and more) Formatting tips (freeze panes, row/column grouping, advanced custom formats, and more) Formula tips (formula auditing tools, fuzzy lookups, detecting duplicates, randomization, and more) Visualization tips (sparklines, filled maps, custom templates, Excel form controls, and more) Pivot Table tips (slicers & timelines, custom layouts, value calculations, and more) Analytics tips (outlier detection, Monte Carlo simulation, forecasting, CUBE functions, and more) While the level of difficulty varies considerably, the demos generally start simple and become progressively more complex within each section. There are no strict prerequisites for this course, but keep in mind that some demos may be challenging without a strong foundational knowledge of underlying Excel concepts (such as Pivot Tables or formulas, for example). The codes are placed in the GitHub link as below- https://github.com/sanjanapackt/PacktPublishing-Excel-Pro-Tips-75--Tips-to-go-from-Excel-Beginner-to-Pro
    Note: Online resource; Title from title screen (viewed December 31, 2019) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 6
    Online Resource
    Online Resource
    Cybersecurity - Attack and Defense Strategies - Second Edition (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838827793
    Language: English
    Pages: 1 online resource (634 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Updated and revised edition of the bestselling guide to developing defense strategies against the latest threats to cybersecurity Key Features Covers the latest security threats and defense strategies for 2020 Introduces techniques and skillsets required to conduct threat hunting and deal with a system breach Provides new information on Cloud Security Posture Management, Microsoft Azure Threat Protection, Zero Trust Network strategies, Nation State attacks, the use of Azure Sentinel as a cloud-based SIEM for logging and investigation, and much more Book Description Cybersecurity - Attack and Defense Strategies, Second Edition is a completely revised new edition of the bestselling book, covering the very latest security threats and defense mechanisms including a detailed overview of Cloud Security Posture Management (CSPM) and an assessment of the current threat landscape, with additional focus on new IoT threats and cryptomining. Cybersecurity starts with the basics that organizations need to know to maintain a secure posture against outside threat and design a robust cybersecurity program. It takes you into the mindset of a Threat Actor to help you better understand the motivation and the steps of performing an actual attack - the Cybersecurity kill chain. You will gain hands-on experience in implementing cybersecurity using new techniques in reconnaissance and chasing a user's identity that will enable you to discover how a system is compromised, and identify and then exploit the vulnerabilities in your own system. This book also focuses on defense strategies to enhance the security of a system. You will also discover in-depth tools, including Azure Sentinel, to ensure there are security controls in each network layer, and how to carry out the recovery process of a compromised system. What you will learn The importance of having a solid foundation for your security posture Use cyber security kill chain to understand the attack strategy Boost your organization's cyber resilience by improving your security policies, hardening your network, implementing active sensors, and leveraging threat intelligence Utilize the latest defense tools, including Azure Sentinel and Zero Trust Network strategy Identify different types of cyberattacks, such as SQL injection, malware and social engineering threats such as phishing emails Perform an incident investigation using Azure Security Center and Azure Sentinel Get an in-depth understanding of the disaster r...
    Note: Online resource; Title from title page (viewed December 31, 2019) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 7
    Online Resource
    Online Resource
    Advanced Machine Learning with R (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (664 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Master an array of machine learning techniques with real-world projects that interface TensorFlow with R, H2O, MXNet, and other languages Key Features Gain expertise in machine learning, deep learning, and predictive modeling techniques Build intelligent end-to-end projects for finance, social media, and a variety of other domains Implement multi-class classification, regression, and clustering in your models Book Description R is one of the most popular languages when it comes to exploring the mathematical side of machine learning and easily performing computational statistics. This Learning Path shows you how to leverage the R ecosystem to build efficient machine learning applications that carry out intelligent tasks within your organization. You'll work through realistic projects such as building powerful machine learning models with ensembles to predict employee attrition. Next, you'll explore different clustering techniques to segment customers using wholesale data and even apply TensorFlow and Keras-R for performing advanced computations. Each chapter will help you implement advanced machine learning algorithms using real-world examples. You'll also be introduced to reinforcement learning along with its use cases and models. Finally, this Learning Path will provide you with a glimpse into how some of these black box models can be diagnosed and understood. By the end of this Learning Path, you'll be equipped with the skills you need to deploy machine learning techniques in your own projects. What you will learn Develop a joke recommendation engine to show jokes that match users' tastes Build autoencoders for credit card fraud detection Work with image recognition and convolutional neural networks Make predictions for casino slot machines using reinforcement learning Implement natural language processing (NLP) techniques for sentiment analysis and customer segmentation Produce simple and effective data visualizations for improved insights Use NLP to extract insights for text Implement tree-based classifiers including random forest and boosted tree Who this book is for If you're a data analyst, data scientist, or machine learning developer who wants to master machine learning techniques using R, this is an ideal Learning Path for you. Each project will help you test your skills in implementing machine learning algorithms and techniques. A basic understanding of machine learning and working knowledge of R programming is necessary to get the ...
    Note: Online resource; Title from title page (viewed May 20, 2019) , Mode of access: World Wide Web.
    URL: https://learning.oreilly.com/library/view/-/9781838641771/?ar
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  • 8
    Online Resource
    Online Resource
    Odoo 12 Development Cookbook - Third Edition (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (774 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local
    Abstract: Build customized solutions for your business using the latest features of Odoo 12 and Python Key Features Get up to speed with Odoo 12 to create custom and reusable modules Interconnect your application with other systems by implementing web APIs Understand the mechanisms powering the Odoo framework and Odoo.sh to build robust enterprises Book Description Odoo is a powerful framework known for rapid application development. Its latest release, Odoo 12, introduces tons of new features. With this book, you'll learn how to develop powerful Odoo applications from scratch, using all the latest features. This Odoo cookbook starts by covering Odoo installation and deployment on the server. Next, you'll explore the Odoo framework with real-world examples. You'll create a new Odoo module from the ground up and progress to advanced framework concepts. You'll also learn how to modify existing applications, including Point of Sale (POS). This book is not just limited to backend development; the advanced JavaScript recipes for creating new views and widgets will help you build beautiful UI elements. As you move forward, you'll gain insights into website development and become a quality Odoo developer by studying performance optimization, debugging, and automated tests. Finally, you'll learn the latest concepts like multi-website, In-App Purchasing (IAP), Odoo.sh, and IoT Box. By the end of the book, you'll have all the knowledge you need to build powerful Odoo applications. The development best practices used in this book will undoubtedly come handy when you are working with the Odoo framework. What you will learn Develop a module in the Odoo framework and modify the existing flow of any application Build dynamic websites with Odoo CMS Create and modify backend JavaScript components in Odoo and POS Connect and access any object in Odoo via Remote Procedure Calls (RPC) Illustrate the different tools available in Odoo to implement business processes for your records Implement in-app purchase services Manage, deploy, and test an Odoo instance with the PaaS Odoo.sh Configure IoT Box to add and upgrade Point of Sale (POS) hardware Who this book is for If you're a Python developer who wants to develop highly efficient business applications with the latest Odoo framework, or if you just want a solution guide for all your Odoo development issues, this book is for you. Some JavaScript programming and web development experience is necessary to get the most out of th...
    Note: Online resource; Title from title page (viewed April 27, 2019) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 9
    Online Resource
    Online Resource
    Mastering Malware Analysis (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781789610789
    Language: English
    Pages: 1 online resource (562 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Master malware analysis to protect your systems from getting infected Key Features Set up and model solutions, investigate malware, and prevent it from occurring in future Learn core concepts of dynamic malware analysis, memory forensics, decryption, and much more A practical guide to developing innovative solutions to numerous malware incidents Book Description With the ever-growing proliferation of technology, the risk of encountering malicious code or malware has also increased. Malware analysis has become one of the most trending topics in businesses in recent years due to multiple prominent ransomware attacks. Mastering Malware Analysis explains the universal patterns behind different malicious software types and how to analyze them using a variety of approaches. You will learn how to examine malware code and determine the damage it can possibly cause to your systems to ensure that it won't propagate any further. Moving forward, you will cover all aspects of malware analysis for the Windows platform in detail. Next, you will get to grips with obfuscation and anti-disassembly, anti-debugging, as well as anti-virtual machine techniques. This book will help you deal with modern cross-platform malware. Throughout the course of this book, you will explore real-world examples of static and dynamic malware analysis, unpacking and decrypting, and rootkit detection. Finally, this book will help you strengthen your defenses and prevent malware breaches for IoT devices and mobile platforms. By the end of this book, you will have learned to effectively analyze, investigate, and build innovative solutions to handle any malware incidents. What you will learn Explore widely used assembly languages to strengthen your reverse-engineering skills Master different executable file formats, programming languages, and relevant APIs used by attackers Perform static and dynamic analysis for multiple platforms and file types Get to grips with handling sophisticated malware cases Understand real advanced attacks, covering all stages from infiltration to hacking the system Learn to bypass anti-reverse engineering techniques Who this book is for If you are an IT security administrator, forensic analyst, or malware researcher looking to secure against malicious software or investigate malicious code, this book is for you. Prior programming experience and a fair understanding of malware attacks and investigation is expected.
    Note: Online resource; Title from title page (viewed June 6, 2019) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 10
    Online Resource
    Online Resource
    Hands-On Generative Adversarial Networks with PyTorch 1.x (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781789530513
    Language: English
    Pages: 1 online resource (312 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Apply deep learning techniques and neural network methodologies to build, train, and optimize generative network models Key Features Implement GAN architectures to generate images, text, audio, 3D models, and more Understand how GANs work and become an active contributor in the open source community Learn how to generate photo-realistic images based on text descriptions Book Description With continuously evolving research and development, Generative Adversarial Networks (GANs) are the next big thing in the field of deep learning. This book highlights the key improvements in GANs over generative models and guides in making the best out of GANs with the help of hands-on examples. This book starts by taking you through the core concepts necessary to understand how each component of a GAN model works. You'll build your first GAN model to understand how generator and discriminator networks function. As you advance, you'll delve into a range of examples and datasets to build a variety of GAN networks using PyTorch functionalities and services, and become well-versed with architectures, training strategies, and evaluation methods for image generation, translation, and restoration. You'll even learn how to apply GAN models to solve problems in areas such as computer vision, multimedia, 3D models, and natural language processing (NLP). The book covers how to overcome the challenges faced while building generative models from scratch. Finally, you'll also discover how to train your GAN models to generate adversarial examples to attack other CNN and GAN models. By the end of this book, you will have learned how to build, train, and optimize next-generation GAN models and use them to solve a variety of real-world problems. What you will learn Implement PyTorch's latest features to ensure efficient model designing Get to grips with the working mechanisms of GAN models Perform style transfer between unpaired image collections with CycleGAN Build and train 3D-GANs to generate a point cloud of 3D objects Create a range of GAN models to perform various image synthesis operations Use SEGAN to suppress noise and improve the quality of speech audio Who this book is for This GAN book is for machine learning practitioners and deep learning researchers looking to get hands-on guidance in implementing GAN models using PyTorch. You'll become familiar with state-of-the-art GAN architectures with the help of real-world examples. Working knowledge of Python programming l...
    Note: Online resource; Title from title page (viewed December 12, 2019) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 11
    Online Resource
    Online Resource
    Deep Learning with R for Beginners (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (612 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Explore the world of neural networks by building powerful deep learning models using the R ecosystem Key Features Get to grips with the fundamentals of deep learning and neural networks Use R 3.5 and its libraries and APIs to build deep learning models for computer vision and text processing Implement effective deep learning systems in R with the help of end-to-end projects Book Description Deep learning has a range of practical applications in several domains, while R is the preferred language for designing and deploying deep learning models. This Learning Path introduces you to the basics of deep learning and even teaches you to build a neural network model from scratch. As you make your way through the chapters, you'll explore deep learning libraries and understand how to create deep learning models for a variety of challenges, right from anomaly detection to recommendation systems. The Learning Path will then help you cover advanced topics, such as generative adversarial networks (GANs), transfer learning, and large-scale deep learning in the cloud, in addition to model optimization, overfitting, and data augmentation. Through real-world projects, you'll also get up to speed with training convolutional neural networks (CNNs), recurrent neural networks (RNNs), and long short-term memory networks (LSTMs) in R. By the end of this Learning Path, you'll be well-versed with deep learning and have the skills you need to implement a number of deep learning concepts in your research work or projects. What you will learn Implement credit card fraud detection with autoencoders Train neural networks to perform handwritten digit recognition using MXNet Reconstruct images using variational autoencoders Explore the applications of autoencoder neural networks in clustering and dimensionality reduction Create natural language processing (NLP) models using Keras and TensorFlow in R Prevent models from overfitting the data to improve generalizability Build shallow neural network prediction models Who this book is for This Learning Path is for aspiring data scientists, data analysts, machine learning developers, and deep learning enthusiasts who are well versed in machine learning concepts and are looking to explore the deep learning paradigm using R. A fundamental understanding of R programming and familiarity with the basic concepts of deep learning are necessary to get the most out of this Learning Path.
    Note: Online resource; Title from title page (viewed May 20, 2019) , Mode of access: World Wide Web.
    URL: https://learning.oreilly.com/library/view/-/9781838642709/?ar
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  • 12
    Online Resource
    Online Resource
    Advanced Blockchain Development (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (590 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Explore distributed ledger technology, decentralization, and smart contracts, and develop real-time decentralized applications with Ethereum and Solidity Key Features Get to grips with the underlying technical principles and implementations of blockchain Build powerful applications using Ethereum to secure transactions and create smart contracts Gain advanced insights into cryptography and cryptocurrencies Book Description Blockchain technology is a distributed ledger with applications in industries such as finance, government, and media. This Learning Path is your guide to building blockchain networks using Ethereum, JavaScript, and Solidity. You will get started by understanding the technical foundations of blockchain technology, including distributed systems, cryptography and how this digital ledger keeps data secure. Further into the chapters, you'll gain insights into developing applications using Ethereum and Hyperledger. As you build on your knowledge of Ether security, mining, smart contracts, and Solidity, you'll learn how to create robust and secure applications that run exactly as programmed without being affected by fraud, censorship, or third-party interference. Toward the concluding chapters, you'll explore how blockchain solutions can be implemented in applications such as IoT apps, in addition to its use in currencies. This Learning Path also highlights how you can increase blockchain scalability, and discusses the future scope of this fascinating and powerful technology. By the end of this Learning Path, you'll be equipped with the skills you need to tackle pain points encountered in the blockchain life cycle and confidently design and deploy decentralized applications. What you will learn Understand why decentralized applications are important Discover the mechanisms behind bitcoin and alternative cryptocurrencies Master how cryptography is used to secure data with the help of examples Maintain, monitor, and manage your blockchain solutions Create Ethereum wallets Explore research topics and the future scope of blockchain technology Who this book is for This Learning Path is designed for blockchain developers who want to build decentralized applications and smart contracts from scratch using Hyperledger. Basic familiarity with any programming language will be useful to get started with this Learning Path.
    Note: Online resource; Title from title page (viewed May 22, 2019) , Mode of access: World Wide Web.
    URL: https://learning.oreilly.com/library/view/-/9781838823191/?ar
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  • 13
    Online Resource
    Online Resource
    The SQL Workshop (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838642358
    Language: English
    Pages: 1 online resource (286 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Cut through the noise and get real results with a step-by-step approach to learning SQL Key Features A structured, straightforward introduction to SQL for beginners A SQL tutorial with step-by-step exercises and activities that help build key skills Structured to let you progress at your own pace, on your own terms Use your physical print copy to redeem free access to the online interactive edition Book Description You already know you want to learn SQL, and the best way to learn SQL is to learn by doing. The SQL Workshop focuses on building up your SQL database management skills so that you can easily store and retrieve data or become the in-house expert on complex queries. You'll learn from real examples that lead to real results. Throughout The SQL Workshop, you'll take an engaging step-by-step approach to understanding SQL programming. You won't have to sit through any unnecessary theory. If you're short on time you can jump into a single exercise each day or spend an entire weekend learning how to create functions and stored procedures. It's your choice. Learning on your terms, you'll build up and reinforce key skills in a way that feels rewarding. Every physical print copy of The SQL Workshop unlocks access to the interactive edition. With videos detailing all exercises and activities, you'll always have a guided solution. You can also benchmark yourself against assessments, track progress, and receive content updates. You'll even earn a secure credential that you can share and verify online upon completion. It's a premium learning experience that's included with your printed copy. To redeem, follow the instructions located at the start of your book. Fast-paced and direct, The SQL Workshop is the ideal companion for SQL beginners. You'll build and iterate on your code like a software developer, learning along the way. This process means that you'll find that your new skills stick, embedded as best practice. A solid foundation for the years ahead. What you will learn Learn how to create normalized databases Explore how to insert data into tables efficiently Explore various techniques to retrieve data from multiple tables Build advanced queries using techniques like subqueries and views Learn advanced SQL programming techniques such as functions and triggers Who this book is for Our goal at Packt is to help you be successful, in whatever it is you choose to do. The SQL Workshop is an ideal SQL tutorial for the SQL beginner who is just gett...
    Note: Online resource; Title from title page (viewed December 30, 2019) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 14
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    Hands-On Robotics Programming with C++ (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (312 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Enhance your programming skills to build exciting robotic projects Key Features Build an intelligent robot that can detect and avoid obstacles and respond to voice commands Detect and track objects and faces using OpenCV Control your robot with a GUI button designed using Qt5 Book Description C++ is one of the most popular legacy programming languages for robotics, and a combination of C++ and robotics hardware is used in many leading industries. This book will bridge the gap between Raspberry Pi and C/C++ programming and enable you to develop applications for Raspberry Pi. You'll even be able to implement C programs in Raspberry Pi with the WiringPi library. The book will guide you through developing a fully functional car robot and writing programs to move it in different directions. You'll then create an obstacle-avoiding robot using an ultrasonic sensor. In addition to this, you'll find out how to control the robot wirelessly using your PC or Mac. This book will also help you work with object detection and tracking using OpenCV, and guide you through exploring face detection techniques. Finally, you will create an Android app and control the robot wirelessly with an Android smartphone. By the end of this book, you will have gained experience in developing a robot using Raspberry Pi and C/C++ programming. What you will learn Install software on a Raspberry Pi compatible with C++ programming Program the Raspberry Pi in C++ to run a motor Control a Raspberry Pi-powered robot wirelessly with your laptop or PC Program a Raspberry Pi camera using OpenCV Control a Raspberry Pi robot with voice commands Implement face and object detection with Raspberry Pi Who this book is for This book is for developers, programmers, and robotics enthusiasts interested in leveraging C++ to build exciting robotics applications. Prior knowledge of C++ is necessary to understand the projects covered in this book.
    Note: Online resource; Title from title page (viewed March 30, 2019) , Mode of access: World Wide Web.
    URL: https://learning.oreilly.com/library/view/-/9781789139006/?ar
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  • 15
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    Online Resource
    Hands-On Cloud-Native Applications with Java and Quarkus (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (314 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Build robust and reliable Java applications that works on modern infrastructure, such as containers and cloud, using the new features in Quarkus 1.0 Key Features Build apps with faster boot time and low RSS memory using the latest Quarkus 1.0 features Seamlessly integrate imperative and reactive programming models to build modern Java applications Discover effective solutions for running Java on serverless apps, microservices, containers, FaaS, and the cloud Book Description Quarkus is a new Kubernetes-native framework that allows Java developers to combine the power of containers, microservices, and cloud-native to build reliable applications. The book is a development guide that will teach you how to build Java-native applications using Quarkus and GraalVM. We start by learning about the basic concepts of a cloud-native application and its advantages over standard enterprise applications. Then we will quickly move on to application development, by installing the tooling required to build our first application on Quarkus. Next, we'll learn how to create a container-native image of our application and execute it in a Platform-as-a-Service environment such as Minishift. Later, we will build a complete real-world application that will use REST and the Contexts and Dependency injection stack with a web frontend. We will also learn how to add database persistence to our application using PostgreSQL. We will learn how to work with various APIs available to?Quarkus?such as Camel, Eclipse MicroProfile, and Spring DI. Towards the end, we will learn advanced development techniques such as securing applications, application configuration, and working with non-blocking programming models using Vert.x. By the end of this book, you will be proficient with all the components of Quarkus and develop-blazing fast applications leveraging modern technology infrastructure. What you will learn Build a native application using Quarkus and GraalVM Secure your applications using Elytron and the MicroProfile JWT extension Manage data persistence with Quarkus using PostgreSQL Use a non-blocking programming model with Quarkus Learn how to get Camel and Infinispan working in native mode Deploy an application in a Kubernetes-native environment using Minishift Discover Reactive Programming with Vert.x Who this book is for The book is for Java developers and software architects?who are interested in learning a promising microservice architecture for building reliable and ro...
    Note: Online resource; Title from title page (viewed December 13, 2019) , Mode of access: World Wide Web.
    URL: https://learning.oreilly.com/library/view/-/9781838821470/?ar
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  • 16
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    Hands-On GPU Computing with Python (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (452 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Explore the capabilities of GPUs for solving high performance computational problems Key Features Understand effective synchronization strategies for faster processing using GPUs Write parallel processing scripts with PyCuda and PyOpenCL Learn to use CUDA libraries such as CuDNN for deep learning on GPUs Book Description GPUs are proving to be excellent general purpose-parallel computing solutions for high-performance tasks such as deep learning and scientific computing. This book will be your guide to getting started with GPU computing. It begins by introducing GPU computing and explaining the GPU architecture and programming models. You will learn, by example, how to perform GPU programming with Python, and look at using integrations such as PyCUDA, PyOpenCL, CuPy, and Numba with Anaconda for various tasks such as machine learning and data mining. In addition to this, you will get to grips with GPU workflows, management, and deployment using modern containerization solutions. Toward the end of the book, you will get familiar with the principles of distributed computing for training machine learning models and enhancing efficiency and performance. By the end of this book, you will be able to set up a GPU ecosystem for running complex applications and data models that demand great processing capabilities, and be able to efficiently manage memory to compute your application effectively and quickly. What you will learn Utilize Python libraries and frameworks for GPU acceleration Set up a GPU-enabled programmable machine learning environment on your system with Anaconda Deploy your machine learning system on cloud containers with illustrated examples Explore PyCUDA and PyOpenCL and compare them with platforms such as CUDA, OpenCL, and ROCm. Perform data mining tasks with machine learning models on GPUs Extend your knowledge of GPU computing in scientific applications Who this book is for Data scientists, machine learning enthusiasts, or professionals who want to get started with GPU computation and perform the complex tasks with low-latency will find this book useful. Intermediate knowledge of Python programming is assumed.
    Note: Online resource; Title from title page (viewed May 14, 2019) , Mode of access: World Wide Web.
    URL: https://learning.oreilly.com/library/view/-/9781789341072/?ar
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  • 17
    Online Resource
    Online Resource
    Getting Started with Adobe After Effects CC 2019 (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838986841
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 32 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Build an opener with animations, video footage, and visual effects using After Effects in this beginners' tutorial About This Video Build a fun and flashy intro to a comic book while learning and implementing Adobe After Effects Step-by-step instructions will ease you through your first professional project Learn not only how to use After Effects, but also the concepts behind high-quality work In Detail Whether you are a hobbyist or keen to become a professional video editor, learning a powerful tool such as Adobe After Effects can be a daunting task; however, in just 3.5 hours, this course breaks down the essentials of what you need to know to complete your first project. The course starts with a quick overview of the After Effects interface and some key concepts in motion graphics. In the following sections, you'll start working with the core features of After Effects by delving into video footage, graphics, animations, and effects. You will gain hands-on experience of professional concepts such as animation principles, typography, and color correction. Each section jumps right in and takes you through each step using fun artwork and new features to help build your skills. You will gain the foundational knowledge you need to create exceptional visual effects, extraordinary motion graphics, and exciting animated text for amazing video effects. You will learn how to animate objects; put them in motion; and change their size, rotation, and opacity over time and you'll discover how to apply and animate visual effects. Also, you will explore how to create shapes, perform color correction, and animate text. Through taking this course, you will create a professional-looking Intro for a comic book series, learning the core basics of After Effects along the way and becoming familiar with its newly-released features. By the end of this course, you will have the skills and knowledge of Adobe After Effects CC you need to produce compelling digital-media projects.
    Note: Online resource; Title from title screen (viewed January 31, 2019) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 18
    Online Resource
    Online Resource
    C++ Standard Template Library in Practice (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781788834995
    Language: English
    Pages: 1 online resource (1 video file, approximately 10 hr., 25 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Gain insights into the C++ STL using real-world examples About This Video Explore the latest C++ as the most important language and library features, including containers, algorithms, regular expressions, threads, and more Learn how to leverage the set of rich, fast, and well-tested utilities and functions provided by the C++ STL Take your development skills to new heights by making your applications fast, robust, and scalable In Detail C++ is one of the most widely used programming languages. Fast, efficient, and flexible, it is used to solve many problems. In particular, it is the Standard Template Library (STL) that gives C++ its power. In this course, we show you how. Using real-world examples, we focus on how STL handles and manipulates data. We examine containers and iterators, and how data can be transformed into meaningful information using algorithms. There is coverage of I/O streams, strings and numerical methods, and how performance can be optimized through careful consideration of memory allocation and manipulation. We also demonstrate how multitasking and shared data is handled through concurrency and parallelism classes and utilities. By the end of the course, you will understand the newer aspects of C++ STL and will be able to overcome tasks that are time-consuming or would break your stride while developing.
    Note: Online resource; Title from title screen (viewed October 17, 2019) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 19
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    Online Resource
    Oracle Blockchain Quick Start Guide (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (350 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Get up and running with Oracle's premium cloud blockchain services and build distributed blockchain apps with ease Key Features Discover Hyperledger Fabric and its components, features, qualifiers, and architecture Get familiar with the Oracle Blockchain Platform and its unique features Build Hyperledger Fabric-based business networks with Oracle's premium blockchain cloud service Book Description Hyperledger Fabric empowers enterprises to scale out in an unprecedented way, allowing organizations to build and manage blockchain business networks. This quick start guide systematically takes you through distributed ledger technology, blockchain, and Hyperledger Fabric while also helping you understand the significance of Blockchain-as-a-Service (BaaS). The book starts by explaining the blockchain and Hyperledger Fabric architectures. You'll then get to grips with the comprehensive five-step design strategy - explore, engage, experiment, experience, and influence. Next, you'll cover permissioned distributed autonomous organizations (pDAOs), along with the equation to quantify a blockchain solution for a given use case. As you progress, you'll learn how to model your blockchain business network by defining its assets, participants, transactions, and permissions with the help of examples. In the concluding chapters, you'll build on your knowledge as you explore Oracle Blockchain Platform (OBP) in depth and learn how to translate network topology on OBP. By the end of this book, you will be well-versed with OBP and have developed the skills required for infrastructure setup, access control, adding chaincode to a business network, and exposing chaincode to a DApp using REST configuration. What you will learn Model your blockchain-based business network by defining its components, transactions, integrations, and infrastructure through use cases Develop, deploy, and test chaincode using shim and REST, and integrate it with client apps using SDK, REST, and events Explore accounting, blockchain, hyperledger fabric, and its components, features, qualifiers, architecture and structure Understand the importance of Blockchain-as-a-Service (BaaS) Experiment Hyperledger Fabric and delve into the underlying technology Set up a consortium network, nodes, channels, and privacy, and learn how to translate network topology on OBP Who this book is for If you are a blockchain developer, blockchain architect or just a cloud developer looking to get hands-on with Oracle ...
    Note: Online resource; Title from title page (viewed September 6, 2019) , Mode of access: World Wide Web.
    URL: https://learning.oreilly.com/library/view/-/9781789804164/?ar
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