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  • [Place of publication not identified] : Apress  (43)
  • Berkeley, CA : Apress
  • Birmingham, AL, USA : EBSCO Industries, Inc.
  • Database management  (28)
  • Artificial intelligence  (20)
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Material
Language
Years
Author, Corporation
Publisher
Keywords
Subjects(RVK)
  • 1
    Online Resource
    Online Resource
    ChatGPT for beginners : features, foundations, and applications (2023)
    Berkeley, CA : Apress
    Details
    ISBN: 9781484298046 , 1484298047
    Language: English
    Pages: 1 online resource (xvi, 507 pages) , illustrations
    Parallel Title: Erscheint auch als
    Keywords: ChatGPT ; Artificial intelligence ; Machine learning ; Intelligence artificielle ; Apprentissage automatique ; artificial intelligence
    Abstract: If you're a complete newbie who's wondering exactly what ChatGPT is, what is does, and how it can be a valuable resource for non-coders, this is the book for you. With a comprehensive exploration of ChatGPT's features, foundations, and applications, this guide will serve as a valuable resource for beginners venturing into the world of conversational AI. ChatGPT for Beginners has four parts. Part one provides a step-by-step introduction to using ChatGPT, from accessing the OpenAI website and creating an account to starting conversations, changing responses, and getting conversation summaries. Part two delves into the foundations of the large language model that powers ChatGPT. It covers topics such as the definition of ChatGPT, its knowledge domains, the basics of natural language processing, machine learning techniques applied to language processing, and the role of neural networks in ChatGPT's operation. Part three covers a wide range of practical applications, from letter writing to business content creation, text translation, language learning, recruitment processes, artistic content creation, and fostering innovation and creativity. Part four examines the strengths and limitations of ChatGPT, addressing ethical considerations related to data security, bias, and partiality. It also delves into the future advancements and challenges that lie ahead for ChatGPT, providing insights into the developing landscape of conversational AI. After completing this book, you will be able to harness the full potential of ChatGPT. Whether you are a student, professional, or are just curious about the capabilities of this AI technology, this book will serve as your essential companion in unlocking the possibilities of ChatGPT. You will: Access ChatGPT, create an account, and initiate conversations Understand what ChatGPT is, its knowledge domains, and how it works through natural language processing, machine learning, and neural networks Ask relevant questions to ChatGPT, and obtain quality responses Manage the degree of randomness in the responses using parameters such as temperature, frequency, and presence.
    Note: Includes index. - Online resource; title from PDF title page (SpringerLink, viewed December 15, 2023)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Explainable AI recipes : implement solutions to model explainability and interpretability with Python (2023)
    [Place of publication not identified] : Apress
    Details
    ISBN: 9781484290293 , 1484290291
    Language: English
    Pages: 1 online resource (253 pages) , illustrations (black and white, and colour).
    Parallel Title: Erscheint auch als
    Keywords: Artificial intelligence ; Python (Computer program language)
    Abstract: Understand how to use Explainable AI (XAI) libraries and build trust in AI and machine learning models. This book utilizes a problem-solution approach to explaining machine learning models and their algorithms. The book starts with model interpretation for supervised learning linear models, which includes feature importance, partial dependency analysis, and influential data point analysis for both classification and regression models. Next, it explains supervised learning using non-linear models and state-of-the-art frameworks such as SHAP values/scores and LIME for local interpretation. Explainability for time series models is covered using LIME and SHAP, as are natural language processing-related tasks such as text classification, and sentiment analysis with ELI5, and ALIBI. The book concludes with complex model classification and regression-like neural networks and deep learning models using the CAPTUM framework that shows feature attribution, neuron attribution, and activation attribution. After reading this book, you will understand AI and machine learning models and be able to put that knowledge into practice to bring more accuracy and transparency to your analyses. You will: Create code snippets and explain machine learning models using Python Leverage deep learning models using the latest code with agile implementations Build, train, and explain neural network models designed to scale Understand the different variants of neural network models.
    Note: Includes index. - Print version record
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Understanding large language models : learning their underlying concepts and technologies (2023)
    Berkeley, CA : Apress
    Details
    ISBN: 9798868800177
    Language: English
    Pages: 1 online resource (xvii, 156 pages) , illustrations
    Parallel Title: Erscheint auch als
    Keywords: Artificial intelligence ; Natural language processing (Computer science) ; Intelligence artificielle ; Traitement automatique des langues naturelles ; artificial intelligence
    Abstract: This book will teach you the underlying concepts of large language models (LLMs), as well as the technologies associated with them. The book starts with an introduction to the rise of conversational AIs such as ChatGPT, and how they are related to the broader spectrum of large language models. From there, you will learn about natural language processing (NLP), its core concepts, and how it has led to the rise of LLMs. Next, you will gain insight into transformers and how their characteristics, such as self-attention, enhance the capabilities of language modeling, along with the unique capabilities of LLMs. The book concludes with an exploration of the architectures of various LLMs and the opportunities presented by their ever-increasing capabilities -- as well as the dangers of their misuse. After completing this book, you will have a thorough understanding of LLMs and will be ready to take your first steps in implementing them into your own projects. You will: Grasp the underlying concepts of LLMs Gain insight into how the concepts and approaches of NLP have evolved over the years Understand transformer models and attention mechanisms Explore different types of LLMs and their applications Understand the architectures of popular LLMs Delve into misconceptions and concerns about LLMs, as well as how to best utilize them.
    Note: Includes index. - Online resource; title from PDF title page (SpringerLink, viewed December 6, 2023)
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    AI startup strategy : a blueprint to building successful artificial intelligence products from inception to exit (2023)
    [Place of publication not identified] : Apress
    Details
    ISBN: 9781484295021 , 1484295021
    Language: English
    Pages: 1 online resource (370 pages) , illustrations (black and white, and color).
    Parallel Title: Erscheint auch als
    Keywords: Artificial intelligence ; New business enterprises ; Intelligence artificielle ; Nouvelles entreprises ; artificial intelligence
    Abstract: Gain exclusive access to the secrets to building an enterprise AI start-up. AI innovation helps with every aspect of the business, from the supply chain, marketing, and advertising, customer service, risk management, operations to security. Industries from different verticals have been adopting AI and get real business values out of it. This book guides you through each step, from defining the business need and business model, all the way to registering IP and calculating your AI start-up valuation. You see how to perform market and technology validation, perform lean AI R&D, design AI architecture, AI product development and operationalization. The book also cover building and managing an AI team, along with attracting and keeping business and developer users, Building an Enterprise AI start-up is hard because Enterprise AI is an effort to build applications to mimic human intelligence to solve business problems. Hence it has a different challenge from building traditional non-AI applications, such as scouting, recruiting and managing AI talents; designing the most cost-efficient and scalable Enterprise AI; or establishing the best practice to operationalize AI in production As we are in the dawn of the AI-first product wave, AI-powered products for enterprises will be created for many years to come and AI Startup Strategy is the one-stop guide for it. You will: Match customers expectation VS technical feasibility Justify business values and ROI for customers Review the best business models for high valuation enterprise AI start-ups Design an AI product that gives a satisfactory experience for the user Register and value AI IP.
    Note: Includes index
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 5
    Online Resource
    Online Resource
    Understanding, implementing and optimizing SAP processes : tricks, tips and hacks (2022)
    [Place of publication not identified] : Apress
    Details
    ISBN: 9781484288061 , 1484288068
    Language: English
    Pages: 1 online resource (1 video file (51 min.)) , sound, color.
    Edition: [First edition].
    DDC: 658/.05
    Keywords: Business Data processing ; Application software Development ; Artificial intelligence ; Human-computer interaction ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: This course will help you in your day to day journey with SAP. It covers how to find and use Parameter Id in SAP. Parameter Id personalizes all the daily transaction code and reports you are running and helps you to post and get data based on your requirement. You will learn about the usage of personal value list. This helps SAP users to store their data points inside SAP and use it whenever needed. This course also covers how to create layouts and variants so that you can get different reports and selection based on your daily requirement. This process helps tremendously in reducing error and confusion as you have all the data points pre built. Additionally, you will learn how you can default the values for certain fields in a transaction code so that the number of entries you have to key is much less and it's ready for automation. Finally, you can learn how to default the values in SAP FIORI apps which is the future of user experience and gives the flavor of buying in amazon shopping while running in SAP. This course will help you use SAP in a more productive way with less clicks and optimizing your work. This course will make you the driver that SAP needs it to operate. What you'll learn: how to create default layout and variants How to change your SAP themes and play with different SAP options Learn personal value list which will help you to move all your excel cheat sheet stored in SAP Study parameter Id which will help you to enter less duplicate stuff Who is this book for: Beginning to intermediate end users, SAP S/4HANA users, SAP ECC.
    Note: Online resource; title from title details screen (O'Reilly, viewed October 17, 2022)
    URL: lizenzpflichtig
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  • 6
    Online Resource
    Online Resource
    Mastering Snowflake solutions : supporting analytics and data sharing (2022)
    Berkeley, CA : Apress
    Details
    ISBN: 9781484280294 , 1484280296
    Language: English
    Pages: 1 online resource (243 p.)
    Parallel Title: Erscheint auch als
    Keywords: Querying (Computer science) ; Database management ; Database security ; Bases de données ; Interrogation ; Bases de données ; Gestion ; Bases de données ; Sécurité ; Mesures ; online searching ; Database management ; Database security ; Querying (Computer science) ; Electronic books
    Abstract: Design for large-scale, high-performance queries using Snowflake's query processing engine to empower data consumers with timely, comprehensive, and secure access to data. This book also helps you protect your most valuable data assets using built-in security features such as end-to-end encryption for data at rest and in transit. It demonstrates key features in Snowflake and shows how to exploit those features to deliver a personalized experience to your customers. It also shows how to ingest the high volumes of both structured and unstructured data that are needed for game-changing business intelligence analysis. Mastering Snowflake Solutions starts with a refresher on Snowflake's unique architecture before getting into the advanced concepts that make Snowflake the market-leading product it is today. Progressing through each chapter, you will learn how to leverage storage, query processing, cloning, data sharing, and continuous data protection features. This approach allows for greater operational agility in responding to the needs of modern enterprises, for example in supporting agile development techniques via database cloning. The practical examples and in-depth background on theory in this book help you unleash the power of Snowflake in building a high-performance system with little to no administrative overhead. Your result from reading will be a deep understanding of Snowflake that enables taking full advantage of Snowflake's architecture to deliver value analytics insight to your business. What You Will Learn Optimize performance and costs associated with your use of the Snowflake data platform Enable data security to help in complying with consumer privacy regulations such as CCPA and GDPR Share data securely both inside your organization and with external partners Gain visibility to each interaction with your customers using continuous data feeds from Snowpipe Break down data silos to gain complete visibility your business-critical processes Transform customer experience and product quality through real-time analytics.
    Note: Includes index
    URL: lizenzpflichtig
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  • 7
    Online Resource
    Online Resource
    Building bots with Amazon Lex : Part 1: Analyze, design, develop, test and deploy bots (2022)
    [Place of publication not identified] : Apress
    Details
    ISBN: 9781484287392 , 1484287398
    Language: English
    Pages: 1 online resource (1 video file (29 min.)) , sound, color.
    Edition: [First edition].
    DDC: 658/.05
    Keywords: Expert systems (Computer science) ; Artificial intelligence ; Computer software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: This course is targeted towards novice or experienced developers and software architects. This course will help build a solid understanding of what Amazon Lex is capable of and what are the best practices associated with it. The author shares his experience on how he successfully built chatbots and what were the attributes for success. The course begins with an introduction to chatbot history, and terminologies like Persona, Utterances, Slots, and contexts. Next, it covers Amazon Lex with comparing chatbots between cloud providers, Amazon Lex history, and a use case on HR Bot. This is followed by describing the Life Cycle of the bot by explaining the Analysis phase activities, Design phase activities, and Development phase activities. There is a segment on Developing Business Logic for the bot. It concludes with discussing testing of the bot, deployment, and the channel for hosting the bot. The course will not only cover the text-based but will also delve into the voice-based bot. After completing this course, the audience will be able to visualize use cases where they can implement chatbots within their organization, define clear goals and objectives for the stakeholders. What you will learn What is Amazon Lex Understand life-cycle of a bot How to create your first bot How to host bot on Microsoft Teams Who this video is for Software developer, Cloud developers, Cloud Architects.
    URL: lizenzpflichtig
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  • 8
    Online Resource
    Online Resource
    Building bots with Amazon Lex : part 3: Extending chatbot functionality (2022)
    [Place of publication not identified] : Apress
    Details
    ISBN: 9781484289334 , 1484289331
    Language: English
    Pages: 1 online resource (1 video file (37 min.)) , sound, color.
    Edition: [First edition].
    DDC: 658/.05
    Keywords: Expert systems (Computer science) ; Artificial intelligence ; Computer software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: This course is targeted toward novice or experienced developers and software architects and will help build a solid understanding of what Amazon Lex is capable of and what the best practices associated with it are. The author shares his experience in successfully building chatbots and what that success entailed. Part 3 of Building Bots with Amazon Lex begins with an introduction to the Amazon Lambda service. The author then dives into the details of how to connect Amazon Lex and Amazon Lambda services to extend the functionality of bots. He then shows how to test and deploy a bot with voice and text inputs. The course culminates with a demonstration of a virtual reality environment that is enhanced by chatbots. The course covers not only text-based but also delves into voice-based bots. After completing this course, you will be able to implement chatbots within your organization and define clear goals and objectives for stakeholders. What You Will Learn How to integrate with serverless functions on AWS How to validate and fulfill the user request How to publish a bot for user consumption How to test a bot with voice and text inputs Who This Video Is For Software developers, cloud developers, and cloud architects.
    Note: Online resource; title from title details screen (O'Reilly, viewed October 17, 2022)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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  • 9
    Online Resource
    Online Resource
    Excel essentials for entering data, accepting data, deleting data, and more : covering Excel 2019 and Microsoft 365 (2022)
    [Place of publication not identified] : Apress
    Details
    Language: English
    Pages: 1 online resource (1 video file (59 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.54
    Keywords: Microsoft Excel (Computer file) ; Microsoft software ; Electronic spreadsheets Computer programs ; Database management ; Logiciels Microsoft ; Tableurs ; Logiciels ; Bases de données ; Gestion ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: The introductory Excel tutorial covers topics related to entering data and demonstrates various ways of accepting and deleting data. You'll learn how to justify data within a cell and then have an opportunity to put it to practice. You will experiment with SmartLookup to search for anything on the Internet, whether it be Excel related or not, and then learn to place that information into an Excel pane. You will try out the Ribbon, a feature which drives the user-friendly resources in Excel. You'll learn the parts of the ribbon: tabs, groups, and command buttons and see how to hide and unhide the ribbon. Practice using short keys to run the commands and learn how to customize the ribbon to meet your needs. Add and remove commands, tabs and groups, change their order, add commands not normally used, then reset your ribbon back to the way it was before you made your changes. Finally, as Office 365 is is a product that regularly goes through changes, methods of getting help to stay up on the latest changes and support are demonstrated, including how to access Excel's built-in training videos. What you will learn • Know what Excel is and know some of its capabilities • Create, save, and open a workbook • Identify the current cell • Use the ribbon • Enter data in a worksheet • Get Help by using Screen Tips and the "Smart Lookup" feature This video is for anyone who wants to get up to speed on the many useful features and shortcuts of Excel.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 30, 2022)
    URL: lizenzpflichtig
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  • 10
    Online Resource
    Online Resource
    Building bots with Amazon Lex : Part 2: Applying chatbot concepts (2022)
    [Place of publication not identified] : Apress
    Details
    ISBN: 9781484289341 , 148428934X
    Language: English
    Pages: 1 online resource (1 video file (46 min.)) , sound, color.
    Edition: [First edition].
    DDC: 658/.05
    Keywords: Expert systems (Computer science) ; Artificial intelligence ; Computer software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: This course is targeted toward both novice and experienced developers and software architects and will help build a solid understanding of what Amazon Lex is capable of and what the best practices associated with it are. The author shares his experience in successfully building chatbots and what that success entailed. Part 2 of Building Bots with Amazon Lex begins with an introduction to the Amazon Lex service. The author then dives into the details of creating intents, utterances, prompts, and context. This is a complete hands-on course, and the audience can easily map it with the basics covered in Part 1 of this vidoe series. Building Bots with Amazon Lex covers not only text-based but will also delve into voice-based bots. After completing this course, you will be able to implement chatbots within your organization and define clear goals and objectives for stakeholders. What You Will Learn How to configure Lex bot for multiple locales How to build a natural conversation on bots How to enable and use Sentiment Analysis with the bot How to enable and collect conversational logs from the bot Who This Video Is For Software developers, cloud developers, and cloud architects.
    Note: Online resource; title from title details screen (O'Reilly, viewed October 18, 2022)
    URL: lizenzpflichtig
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  • 11
    Online Resource
    Online Resource
    Practical enterprise data lake insights : handle data-driven challenges in an enterprise big data lake (2018)
    [Place of publication not identified] : Apress
    Details
    ISBN: 9781484235225
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Big data ; Database management ; Business enterprises ; Data processing ; Information technology ; Management ; Electronic books ; local ; Electronic books
    Abstract: Use this practical guide to successfully handle the challenges encountered when designing an enterprise data lake and learn industry best practices to resolve issues. When designing an enterprise data lake you often hit a roadblock when you must leave the comfort of the relational world and learn the nuances of handling non-relational data. Starting from sourcing data into the Hadoop ecosystem, you will go through stages that can bring up tough questions such as data processing, data querying, and security. Concepts such as change data capture and data streaming are covered. The book takes an end-to-end solution approach in a data lake environment that includes data security, high availability, data processing, data streaming, and more. Each chapter includes application of a concept, code snippets, and use case demonstrations to provide you with a practical approach. You will learn the concept, scope, application, and starting point. What You'll Learn Get to know data lake architecture and design principles Implement data capture and streaming strategies Implement data processing strategies in Hadoop Understand the data lake security framework and availability model Who This Book Is For Big data architects and solution architects
    Note: Includes bibliographical references. - Description based on online resource; title from cover (Safari, viewed January 10, 2019)
    URL: lizenzpflichtig
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  • 12
    Online Resource
    Online Resource
    Introducing the MySQL 8 document store : building schemaless database solutions (2018)
    [Place of publication not identified] : Apress
    Details
    ISBN: 9781484227251
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: MySQL (Electronic resource) ; Database management ; Databases ; Electronic books ; local ; Electronic books
    Abstract: Learn the new Document Store feature of MySQL 8 and build applications around a mix of the best features from SQL and NoSQL database paradigms. Don't allow yourself to be forced into one paradigm or the other, but combine both approaches by using the Document Store. MySQL 8 was designed from the beginning to bridge the gap between NoSQL and SQL. Oracle recognizes that many solutions need the capabilities of both. More specifically, developers need to store objects as loose collections of schema-less documents, but those same developers also need the ability to run structured queries on their data. With MySQL 8, you can do both! Introducing the MySQL 8 Document Store presents new tools and features that make creating a hybrid database solution far easier than ever before. This book covers the vitally important MySQL Document Store, the new X Protocol for developing applications, and a new client shell called the MySQL Shell. Also covered are supporting technologies and concepts such as JSON, schema-less documents, and more. The book gives insight into how features work and how to apply them to get the most out of your MySQL experience. The book covers topics such as: The headline feature in MySQL 8 MySQL's answer to NoSQL New APIs and client protocols What You'll Learn Create NoSQL-style applications by using the Document Store Mix the NoSQL and SQL approaches by using each to its best advantage in a hybrid solution Work with the new X Protocol for application connectivity in MySQL 8 Master the new X Developer Application Programming Interfaces Combine SQL and JSON in the same database and application Migrate existing applications to MySQL Document Store Who This Book Is For Developers and database professionals wanting to learn about the most profound paradigm-changing features of the MySQL 8 Document Store
    Note: Includes bibliographical references. - Description based on online resource; title from cover (Safari, viewed July 24, 2018)
    URL: lizenzpflichtig
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  • 13
    Online Resource
    Online Resource
    Introducing InnoDB Cluster : learning the MySQL High Availability Stack (2018)
    [Place of publication not identified] : Apress
    Details
    ISBN: 9781484238851
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: MySQL (Electronic resource) ; Database management ; Computer networks ; Management ; Electronic books ; local ; Electronic books
    Abstract: Set up, manage, and configure the new InnoDB Cluster feature in MySQL from Oracle. If you are growing your MySQL installation and want to explore making your servers highly available, this book provides what you need to know about high availability and the new tools that are available in MySQL 8.0.11 and later. Introducing InnoDB Cluster teaches you about the building blocks that make up InnoDB Cluster such as MySQL Group Replication for storing data redundantly, MySQL Router for the routing of inbound connections, and MySQL Shell for simplified setup and configuration, status reporting, and even automatic failover. You will understand how it all works together to ensure that your data are available even when your primary database server goes down. Features described in this book are available in the Community Edition of MySQL, beginning with the version 8.0.11 GA release, making this book relevant for any MySQL users in need of redundancy against failure. Tutorials in the book show how to configure a test environment and plan a production deployment. Examples are provided in the form of a walk-through of a typical MySQL high-availability setup. What You'll Learn Discover the newest high-availability features in MySQL Set up and use InnoDB Cluster as an HA solution Migrate your existing servers to MySQL 8 Employ best practices for using InnoDB Cluster Configure servers for optimal automatic failover to ensure that applications continue when a server fails Configure MySQL Router to load-balance inbound connections to the cluster Who This Book Is For Systems engineers, developers, and database professionals wanting to learn about the powerful high availability (HA) features, beginning with MySQL 8.0.11: MySQL Shell, MySQL Router, and MySQL Group Replication. The book is useful for those designing high-availability systems backed by a database, and for those interested in open source HA solutions.
    Note: Includes bibliographical references. - Description based on online resource; title from cover (Safari, viewed October 4, 2018)
    URL: lizenzpflichtig
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  • 14
    Online Resource
    Online Resource
    How to compete in the age of artificial intelligence : implementing a collaborative human-machine strategy for your business (2018)
    [Place of publication not identified] : Apress
    Details
    ISBN: 9781484238080
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Artificial intelligence ; Human-computer interaction ; Business enterprises ; Technological innovations ; Electronic books ; local ; Electronic books
    Abstract: Get started with artificial intelligence in your business. This book will help you understand AI, its implications, and how to adopt a strategy that is rational, relevant, and practical. Beyond the buzzwords and the technology complexities, organizations are struggling to understand what AI means for their industry and how they can start their journey. How to Compete in the Age of Artificial Intelligence is not a book about complex formulas or solution architectures. It goes deeper into explaining the meaning and relevance of AI for your business. You will learn how to apply AI thinking across enterprise functions-including disruptive technologies such as IoT, Blockchain, and cloud-and transform your organization. What You'll Learn Know how to spot AI opportunities and establish the right organizational imperatives to grow your business Understand AI in the context of changing business dynamics and the workforce/skills required to succeed Discover how to apply AI thinking across enterprise functions-from the boardroom to cybersecurity, IoT, IT operations, policies-and implement a sustainable and integrated human-machine collaboration strategy Who This Book is For CxOs, senior executives, mid-level managers, AI evangelists, digital leads, and technology directors
    Note: Includes bibliographical references. - Description based on online resource; title from cover (Safari, viewed October 26, 2018)
    URL: lizenzpflichtig
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  • 15
    Online Resource
    Online Resource
    Beginning AI bot frameworks : getting started with bot development (2018)
    [Place of publication not identified] : Apress
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Artificial intelligence ; Application software ; Development ; Machine learning ; Natural language processing (Computer science) ; Electronic books ; Electronic books ; local
    Abstract: Want to build your first AI bot but don't know where to start? This book provides a comprehensive look at all the major bot frameworks available. You'll learn the basics for each framework in one place and get a clear picture for which one is best for your needs. Beginning AI Bot Frameworks starts with an overview of bot development and then looks at Google Wit.ai and APi.ai functions, IBM Watson, AWS bots with Lambda, FlockOS and TensorFlow. Additionally, it touches on Deep Learning and how bot frameworks can be extended to mixed reality with Hololens. By the end, you'll have mastered the different bot frameworks available and finally have the confidence to develop intelligent AI Chatbots of their own. What You'll Learn Review key structural points for building bots Understand the basic requirements for building a bot in each framework Integrate some of the frameworks Compare the features of each framework Who This Book Is For Computer Science students, engineers, developers and technology enthusiasts with some background in C#, node.js, and cloud platforms.
    Note: Description based on online resource; title from cover (Safari, viewed October 23, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781484237540/?ar
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  • 16
    Online Resource
    Online Resource
    Building intelligent systems : a guide to machine learning engineering (2018)
    [Place of publication not identified] : Apress
    Details
    ISBN: 9781484234327
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Machine learning ; Intelligent agents (Computer software) ; Artificial intelligence ; Electronic books ; local ; Electronic books
    Abstract: Produce a fully functioning Intelligent System that leverages machine learning and data from user interactions to improve over time and achieve success. This book teaches you how to build an Intelligent System from end to end and leverage machine learning in practice. You will understand how to apply your existing skills in software engineering, data science, machine learning, management, and program management to produce working systems. Building Intelligent Systems is based on more than a decade of experience building Internet-scale Intelligent Systems that have hundreds of millions of user interactions per day in some of the largest and most important software systems in the world. What You'll Learn Understand the concept of an Intelligent System: What it is good for, when you need one, and how to set it up for success Design an intelligent user experience: Produce data to help make the Intelligent System better over time Implement an Intelligent System: Execute, manage, and measure Intelligent Systems in practice Create intelligence: Use different approaches, including machine learning Orchestrate an Intelligent System: Bring the parts together throughout its life cycle and achieve the impact you want Who This Book Is For Software engineers, machine learning practitioners, and technical managers who want to build effective intelligent systems
    Note: Description based on online resource; title from cover (Safari, viewed March 21, 2018)
    URL: lizenzpflichtig
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  • 17
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    Database benchmarking and stress testing : an evidence-based approach to decisions on architecture and technology (2018)
    [Place of publication not identified] : Apress
    Details
    ISBN: 9781484240083
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Database management ; Database security ; Electronic books ; local ; Electronic books
    Abstract: Provide evidence-based answers that can be measured and relied upon by your business. Database administrators will be able to make sound architectural decisions in a fast-changing landscape of virtualized servers and container-based solutions based on the empirical method presented in this book for answering "what if" questions about database performance. Today's database administrators face numerous questions such as: What if we consolidate databases using multitenant features? What if we virtualize database servers as Docker containers? What if we deploy the latest in NVMe flash disks to speed up IO access? Do features such as compression, partitioning, and in-memory OLTP earn back their price? What if we move our databases to the cloud? As an administrator, do you know the answers or even how to test the assumptions? Database Benchmarking and Stress Testing introduces you to database benchmarking using industry-standard test suites such as the TCP series of benchmarks, which are the same benchmarks that vendors rely upon. You'll learn to run these industry-standard benchmarks and collect results to use in answering questions about the performance impact of architectural changes, technology changes, and even down to the brand of database software. You'll learn to measure performance and predict the specific impact of changes to your environment. You'll know the limitations of the benchmarks and the crucial difference between benchmarking and workload capture/reply. This book teaches you how to create empirical evidence in support of business and technology decisions. It's about not guessing when you should be measuring. Empirical testing is scientific testing that delivers measurable results. Begin with a hypothesis about the impact of a possible architecture or technology change. Then run the appropriate benchmarks to gather data and predict whether the change you're exploring will be beneficial, and by what order of magnitude. Stop guessing. Start measuring. Let Database Benchmarking and Stress Testing show the way. What You'll Learn Understand the industry-standard database benchmarks, and when each is best used Prepare for a database benchmarking effort so reliable results can be achieved Perform database benchmarking for consolidation, virtualization, and cloud projects Recognize and avoid common mistakes in benchmarking database performance Measure and interpret results in a rational, concise manner for reliable comparisons Choose and ...
    Note: Includes bibliographical references. - Description based on online resource; title from cover (Safari, viewed November 7, 2018)
    URL: lizenzpflichtig
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  • 18
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    Beginning PostgreSQL on the cloud : simplifying database as a service on cloud platforms (2018)
    [Place of publication not identified] : Apress
    Details
    ISBN: 9781484234471
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: PostgreSQL ; SQL (Computer program language) ; Cloud computing ; Database management ; Electronic books ; local ; Electronic books
    Abstract: Get started with PostgreSQL on the cloud and discover the advantages, disadvantages, and limitations of the cloud services from Amazon, Rackspace, Google, and Azure. Once you have chosen your cloud service, you will focus on securing it and developing a back-up strategy for your PostgreSQL instance as part of your long-term plan. Beginning PostgreSQL on the Cloud covers other essential topics such as setting up replication and high availability; encrypting your saved cloud data; creating a connection pooler for your database; and monitoring PostgreSQL on the cloud. The book concludes by showing you how to install and configure some of the tools that will help you get started with PostgreSQL on the cloud. This book shows you how database as a service enables you to spread your data across multiple data centers, ensuring that it is always accessible. You'll discover that this model does not expect you to install and maintain databases yourself because the database service provider does it for you. You no longer have to worry about the scalability and high availability of your database. What You Will Learn Migrate PostgreSQL to the cloud Choose the best configuration and specifications of cloud instances Set up a backup strategy that enables point-in-time recovery Use connection pooling and load balancing on cloud environments Monitor database environments on the cloud Who This Book Is For Those who are looking to migrate to PostgreSQL on the Cloud. It will also help database administrators in setting up a cloud environment in an optimized way and help them with their day-to-day tasks.
    Note: Description based on online resource; title from cover (Safari, viewed April 25, 2018)
    URL: lizenzpflichtig
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  • 19
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    Deep learning with Azure : building and deploying artificial intelligence solutions on the Microsoft AI platform (2018)
    [Place of publication not identified] : Apress
    Details
    ISBN: 9781484236796
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Microsoft Azure (Computing platform) ; Artificial intelligence ; Machine learning ; Electronic books ; local ; Electronic books
    Abstract: Get up-to-speed with Microsoft's AI Platform. Learn to innovate and accelerate with open and powerful tools and services that bring artificial intelligence to every data scientist and developer. Artificial Intelligence (AI) is the new normal. Innovations in deep learning algorithms and hardware are happening at a rapid pace. It is no longer a question of should I build AI into my business, but more about where do I begin and how do I get started with AI? Written by expert data scientists at Microsoft, Deep Learning with the Microsoft AI Platform helps you with the how-to of doing deep learning on Azure and leveraging deep learning to create innovative and intelligent solutions. Benefit from guidance on where to begin your AI adventure, and learn how the cloud provides you with all the tools, infrastructure, and services you need to do AI. What You'll Learn Become familiar with the tools, infrastructure, and services available for deep learning on Microsoft Azure such as Azure Machine Learning services and Batch AI Use pre-built AI capabilities (Computer Vision, OCR, gender, emotion, landmark detection, and more) Understand the common deep learning models, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs) with sample code and understand how the field is evolving Discover the options for training and operationalizing deep learning models on Azure Who This Book Is For Professional data scientists who are interested in learning more about deep learning and how to use the Microsoft AI platform. Some experience with Python is helpful.
    Note: Includes bibliographical references. - Description based on online resource; title from cover (Safari, viewed September 14, 2018)
    URL: lizenzpflichtig
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  • 20
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    Online Resource
    Practical Python AI projects : mathematical models of optimization problems with Google OR-tools (2018)
    [Place of publication not identified] : Apress
    Details
    ISBN: 9781484234235
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Python (Computer program language) ; Artificial intelligence ; Electronic books ; local ; Electronic books
    Abstract: Discover the art and science of solving artificial intelligence problems with Python using optimization modeling. This book covers the practical creation and analysis of mathematical algebraic models such as linear continuous models, non-obviously linear continuous models, and pure linear integer models. Rather than focus on theory, Practical Python AI Projects , the product of the author's decades of industry teaching and consulting, stresses the model creation aspect; contrasting alternate approaches and practical variations. Each model is explained thoroughly and written to be executed. The source code from all examples in the book is available, written in Python using Google OR-Tools. It also includes a random problem generator, useful for industry application or study. What You Will Learn Build basic Python-based artificial intelligence (AI) applications Work with mathematical optimization methods and the Google OR-Tools (Optimization Tools) suite Create several types of projects using Python and Google OR-Tools Who This Book Is For Developers and students who already have prior experience in Python coding. Some prior mathematical experience or comfort level may be helpful as well.
    Note: Description based on online resource; title from cover (Safari, viewed March 14, 2018)
    URL: lizenzpflichtig
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  • 21
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    Online Resource
    Intermediate to advanced SQL : move beyond the basics to master complex concepts (2018)
    [Place of publication not identified] : Apress
    Details
    ISBN: 9781484239780
    Language: English
    Pages: 1 online resource (1 streaming video file (1 hr., 34 min., 43 sec.)) , digital, sound, color
    Keywords: SQL (Computer program language) ; Relational databases ; Database management ; Electronic videos ; local
    Abstract: "Learn the basics of creating, maintaining, protecting, and querying relational databases using SQL, the standard language used to communicate with all relational databases. Building on the author's previous course, Beginning SQL, SQL expert Allen Taylor provides five more lessons to continue your journey to mastery of one of the most important topics in IT. This video course guides you step-by-step in the design, creation, and operation of databases, using graphics, animation, and audio commentary to reinforce concepts and enhance learning. Intermediate to Advanced SQL covers complex data models, making highly selective retrievals, and grouping and ordering results. You'll also learn how to use multi-table queries, and to protect your data from mistakes or hacking attempts. After watching the course, along with the previous course, you will have a solid foundation in SQL and be able to apply it to any relational database."--Resource description page.
    Note: Title from resource description page (Safari, viewed October 17, 2018)
    URL: lizenzpflichtig
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  • 22
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    Introducing SQL and relational databases (2018)
    [Place of publication not identified] : Apress
    Details
    ISBN: 9781484238417
    Language: English
    Pages: 1 online resource (1 streaming video file (54 min., 10 sec.)) , digital, sound, color
    Keywords: SQL (Computer program language) ; Relational databases ; Database management ; Electronic videos ; local
    Abstract: "Start on the road to mastery of SQL and databases: two of the most important topics in IT. In this video, SQL expert Allen G Taylor covers the basics of SQL. Part 1 explains where SQL came from, why data should be organized, and the value of databases as a tool. Part 2 is an overview of the relational model, and explains the concept of functional dependencies and the role of keys in a database table. Part 3 explores the data processing chain and DBMS. Finally, Part 4 describes entity-relationship models and how they operate within existing business rules. After watching Introducing SQL and Relational Databases, you will understand how SQL and databases work and be ready for Allen Taylor's next video demonstrating how to build and maintain a basic database."--Resource description page.
    Note: Title from resource description page (Safari, viewed October 8, 2018)
    URL: lizenzpflichtig
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  • 23
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    Beginning backup and restore for SQL Server : data loss management and prevention techniques : practical application of data protection principles (2018)
    [Place of publication not identified] : Apress
    Details
    ISBN: 9781484234563
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: SQL server ; Database management ; Client/server computing ; Electronic data processing ; Backup processing alternatives ; Electronic books ; local ; Electronic books
    Abstract: Be guided through the techniques to back up and restore databases and files in SQL Server. Multiple techniques are presented for ensuring the integrity and consistency of database backups, as well as the reliability and manageability of restoring from backups. In today's data-driven world, the most important asset that a company has is its data. Data recovery strategies can be wide ranging; from the practically non-existent backup without verification to a very complex, distributed, and redundant system. An important objective for any database administrator is data loss prevention, and in a catastrophic data loss event, pre-defined data recovery techniques must be employed in order to get the databases back up and running efficiently and quickly. Using a tutorial method of teaching, Beginning Backup and Restore for SQL Server explores the many facets behind the principles of backing up and restoring data from your database, and then shows practical application methods for getting the work done quickly and correctly. This book is an essential guide toward discovering the correct path to protecting the data for your organization. What You'll Learn Be instructed on backup and restore techniques and principles Understand the importance of a fully implemented backup plan in SQL Server Agent Integrate backup and restore techniques into an existing environment Consider space and time requirements for backup and restore operations Master the principles for common deployment types Who This Book Is For Administrators who need to learn or refresh their knowledge of how to back up and restore SQL Server databases in various scenarios
    Note: Description based on online resource; title from cover (Safari, viewed July 16, 2018)
    URL: lizenzpflichtig
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  • 24
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    Practical artificial intelligence : machine learning, bots, and agent solutions using C# (2018)
    [Place of publication not identified] : Apress
    Details
    ISBN: 9781484233573
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Artificial intelligence ; Machine learning ; C# (Computer program language) ; Generators (Computer programs) ; Electronic books ; local ; Electronic books
    Abstract: Discover how all levels Artificial Intelligence (AI) can be present in the most unimaginable scenarios of ordinary lives. This book explores subjects such as neural networks, agents, multi agent systems, supervised learning, and unsupervised learning. These and other topics will be addressed with real world examples, so you can learn fundamental concepts with AI solutions and apply them to your own projects. People tend to talk about AI as something mystical and unrelated to their ordinary life. Practical Artificial Intelligence provides simple explanations and hands on instructions. Rather than focusing on theory and overly scientific language, this book will enable practitioners of all levels to not only learn about AI but implement its practical uses. What You'll Learn Understand agents and multi agents and how they are incorporated Relate machine learning to real-world problems and see what it means to you Apply supervised and unsupervised learning techniques and methods in the real world Implement reinforcement learning, game programming, simulation, and neural networks Who This Book Is For Computer science students, professionals, and hobbyists interested in AI and its applications.
    Note: Description based on online resource; title from cover (Safari, viewed June 14, 2018)
    URL: lizenzpflichtig
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  • 25
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    SQL server 2017 query performance tuning : troubleshoot and optimize query performance (2018)
    [Place of publication not identified] : Apress
    Details
    ISBN: 9781484238882
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Fifth edition.
    Keywords: SQL server ; Client/server computing ; Querying (Computer science) ; Relational databases ; Database management ; Electronic books ; local ; Electronic books
    Abstract: Identify and fix causes of poor performance. You will learn Query Store, adaptive execution plans, and automated tuning on the Microsoft Azure SQL Database platform. Anyone responsible for writing or creating T-SQL queries will find valuable the insight into bottlenecks, including how to recognize them and eliminate them. This book covers the latest in performance optimization features and techniques and is current with SQL Server 2017. If your queries are not running fast enough and you're tired of phone calls from frustrated users, then this book is the answer to your performance problems. SQL Server 2017 Query Performance Tuning is about more than quick tips and fixes. You'll learn to be proactive in establishing performance baselines using tools such as Performance Monitor and Extended Events. You'll recognize bottlenecks and defuse them before the phone rings. You'll learn some quick solutions too, but emphasis is on designing for performance and getting it right. The goal is to head off trouble before it occurs. What You'll Learn Use Query Store to understand and easily change query performance Recognize and eliminate bottlenecks leading to slow performance Deploy quick fixes when needed, following up with long-term solutions Implement best practices in T-SQL to minimize performance risk Design in the performance that you need through careful query and index design Utilize the latest performance optimization features in SQL Server 2017 Protect query performance during upgrades to the newer versions of SQL Server Who This Book Is For Developers and database administrators with responsibility for application performance in SQL Server environments. Anyone responsible for writing or creating T-SQL queries will find valuable the insight into bottlenecks, including how to recognize them and eliminate them.
    Note: Description based on online resource; title from cover (Safari, viewed October 17, 2018)
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  • 26
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    Learn FileMaker Pro 16 : the comprehensive guide to building custom databases (2017)
    [Place of publication not identified] : Apress
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: FileMaker pro ; Database management ; Electronic books ; Electronic books ; local
    Abstract: Extend FileMaker's built-in functionality and totally customize your data management environment with specialized functions and menus to super-charge the results and create a truly unique and focused experience. This book includes everything a beginner needs to get started building databases with FileMaker and contains advanced tips and techniques that the most seasoned professionals will appreciate. Written by a long time FileMaker developer, this book contains material for developers of every skill level. FileMaker Pro 16 is a powerful database development application used by millions of people in diverse industries to simplify data management tasks, leverage their business information in new ways and automate many mundane tasks. A custom solution built with FileMaker can quickly tap into a powerful set of capabilities and technologies to offer users an intuitive and pleasing environment in which to achieve new levels of efficiency and professionalism. What You'll learn Create SQL queries to build fast and efficient formulas Discover new features of version 16 such as JSON functions, Cards, Layout Object window, SortValues, UniqueValues, using variables in Data Sources Write calculations using built-in and creating your own custom functions Discover the importance of a good approach to interface and technical design Apply best practices for naming conventions and usage standards Explore advanced topics about designing professional, open-ended solutions and using advanced techniques Who This Book Is For Casual programmers, full time consultants and IT professionals.
    Note: Description based on online resource; title from cover (Safari, viewed November 28, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781484228630/?ar
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  • 27
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    Pro deep learning with TensorFlow : a mathematical approach to advanced artificial intelligence in Python (2017)
    [Place of publication not identified] : Apress
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Machine learning ; Neural networks (Computer science) ; Artificial intelligence ; Electronic books ; Electronic books ; local
    Abstract: Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition required to invent new deep learning architectures and solutions on your own. Pro Deep Learning with TensorFlow provides practical, hands-on expertise so you can learn deep learning from scratch and deploy meaningful deep learning solutions. This book will allow you to get up to speed quickly using TensorFlow and to optimize different deep learning architectures. All of the practical aspects of deep learning that are relevant in any industry are emphasized in this book. You will be able to use the prototypes demonstrated to build new deep learning applications. The code presented in the book is available in the form of iPython notebooks and scripts which allow you to try out examples and extend them in interesting ways. You will be equipped with the mathematical foundation and scientific knowledge to pursue research in this field and give back to the community. What You'll Learn Understand full stack deep learning using TensorFlow and gain a solid mathematical foundation for deep learning Deploy complex deep learning solutions in production using TensorFlow Carry out research on deep learning and perform experiments using TensorFlow Who This Book Is For Data scientists and machine learning professionals, software developers, graduate students, and open source enthusiasts
    Note: Description based on online resource; title from cover (Safari, viewed May 22, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781484230961/?ar
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  • 28
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    Artificial intelligence for .NET, speech, language, and search : building smart applications with Microsoft Cognitive Services APIs (2017)
    [Place of publication not identified] : Apress
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Microsoft .NET Framework ; Artificial intelligence ; Application program interfaces (Computer software) ; Application software ; Development ; Electronic books ; Electronic books ; local
    Abstract: Get introduced to the world of artificial intelligence with this accessible and practical guide. Build applications that make intelligent use of language and user interaction to better compete in today's marketplace. Discover how your application can deeply understand and interpret content on the web or a user's machine, intelligently react to direct user interaction through speech or text, or make smart recommendations on products or services that are tailored to each individual user. With Microsoft Cognitive Services, you can do all this and more utilizing a set of easy-to-use APIs that can be consumed on the desktop, web, or mobile devices. Developers normally think of AI implementation as a tough task involving writing complex algorithms. This book aims to remove the anxiety by creating a cognitive application with a few lines of code. There is a wide range of Cognitive Services APIs available. This book focuses on some of the most useful and powerful ways that your application can make intelligent use of language. Artificial Intelligence for .NET: Speech, Language, and Search will show you how you can start building amazing capabilities into your applications today. What You'll Learn Understand the underpinnings of artificial intelligence through practical examples and scenarios Get started building an AI-based application in Visual Studio Build a text-based conversational interface for direct user interaction Use the Cognitive Services Speech API to recognize and interpret speech Look at different models of language, including natural language processing, and how to apply them in your Visual Studio application Reuse Bing search capabilities to better understand a user's intention Work with recommendation engines and integrate them into your apps Who This Book Is For Developers working on a range of platforms, from .NET and Windows to mobile devices. Examples are given in C#. No prior experience with AI techniques or theory is required.
    Note: Description based on online resource; title from cover (Safari, viewed November 14, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781484229491/?ar
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  • 29
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    Building custom tasks for SQL Server Integration Services : taking a low-cost approach to applying the power of .NET in ETL solutions (2017)
    [Place of publication not identified] : Apress
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: SQL server ; Microsoft Visual studio ; Microsoft .NET Framework ; Client/server computing ; Database management ; Electronic books ; Electronic books ; local
    Abstract: Learn to build custom SSIS tasks using Visual Studio Community Edition and Visual Basic. Bring all the power of Microsoft .NET to bear on your data integration and ETL processes, and for no added cost over what you've already spent on licensing SQL Server. If you already have a license for SQL Server, then you do not need to spend more money to extend SSIS with custom tasks and components. Why are custom components necessary? Because even though the SSIS catalog of built-in tasks and components is a marvel of engineering, there do remain gaps in the functionality that is provided. These gaps are especially relevant to enterprises practicing Data Integration Lifecycle Management (DILMS) and/or DevOps. One of the gaps is a limitation of the SSIS Execute Package task. Developers using the stock version of that task are unable to select SSIS packages from other projects. Yet it's useful to be able to select and execute tasks across projects, and the example used throughout this book will help you to create an Execute Catalog Package task that does in fact allow you to execute a task from another project. Building on the example's pattern, you can create any task that you like, custom tailored to your specific, data integration and ETL needs. What You Will Learn Configure and execute Visual Studio in the way that best supports SSIS task development Create a class library as the basis for an SSIS task, and reference the needed SSIS assemblies Properly sign assemblies that you create in order to invoke them from your task Implement source code control via Visual Studio Team Services, or your own favorite tool set Code not only your tasks themselves, but also the associated task editors Troubleshoot and then execute your custom tasks as part of your own project Who This Book Is For Database administrators and developers who are involved in ETL projects built around SQL Server Integration Services (SSIS). Readers should have a background in programming along with a desire to optimize their ETL efforts by creating custom-tailored tasks for execution from SSIS packages.
    Note: Includes bibliographical references. - Description based on online resource; title from cover (Safari, viewed November 28, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781484229408/?ar
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    Oracle IaaS : quick reference guide to cloud solutions (2017)
    [Place of publication not identified] : Apress
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Series Statement: The expert's voice in Oracle
    Keywords: Oracle (Computer file) ; Cloud computing ; Database management ; Electronic books ; Electronic books ; local
    Abstract: Follow this guide that explains Oracle's Infrastructure as a Service (IaaS) cloud solution and the tools and capabilities that can help you increase business value, productivity, and performance. You will learn about economic advantages as well as elasticity, unlimited storage, and on-demand capacity computing. Oracle IaaS: Quick Reference Guide to Cloud Solutions covers Oracle's service structure as well as its cloud service offerings and cloud models. It provides detailed guidance regarding the advantages of the specific models, as well as how to create and manage each service. This book contains many real-world case studies, including how to build and configure compute resources to fit the needs of your specific organization. IaaS product offerings covered in this book include: Oracle Compute Cloud Oracle Storage Cloud Oracle Ravello Cloud Oracle Container Cloud What You'll Learn Understand Oracle IaaS products and Oracle Cloud Compare existing Oracle cloud products Discover IaaS new features Master Oracle Cloud Architecture Who This Book Is For Oracle database administrators, Oracle developers, and other developers looking to build cloud-based applications.
    Note: Description based on online resource; title from title page (Safari, viewed September 29, 2017)
    URL: https://learning.oreilly.com/library/view/-/9781484228319/?ar
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    MATLAB deep learning : with machine learning, neural networks and artificial intelligence (2017)
    [Place of publication not identified] : Apress
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: MATLAB ; Machine learning ; Neural networks (Computer science) ; Artificial intelligence ; Electronic books ; Electronic books ; local
    Abstract: Get started with MATLAB for deep learning and AI with this in-depth primer. In this book, you start with machine learning fundamentals, then move on to neural networks, deep learning, and then convolutional neural networks. In a blend of fundamentals and applications, MATLAB Deep Learning employs MATLAB as the underlying programming language and tool for the examples and case studies in this book. With this book, you'll be able to tackle some of today's real world big data, smart bots, and other complex data problems. You'll see how deep learning is a complex and more intelligent aspect of machine learning for modern smart data analysis and usage. What You'll Learn Use MATLAB for deep learning Discover neural networks and multi-layer neural networks Work with convolution and pooling layers Build a MNIST example with these layers Who This Book Is For Those who want to learn deep learning using MATLAB. Some MATLAB experience may be useful.
    Note: Includes bibliographical references. - Description based on online resource; title from cover (Safari, viewed September 29, 2017)
    URL: https://learning.oreilly.com/library/view/-/9781484228456/?ar
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    Oracle SQL tuning with Oracle SQLTXPLAIN : Oracle database 12c edition (2017)
    [Place of publication not identified] : Apress
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Series Statement: The expert's voice in Oracle
    Keywords: Oracle (Computer file) ; SQL (Computer program language) ; Database management ; Electronic books ; Electronic books ; local
    Abstract: Learn through this practical guide to SQL tuning how Oracle's own experts do it, using a freely downloadable tool called SQLTXPLAIN. This new edition has been expanded to include AWR, Oracle 12c Statistics, interpretation of SQL Monitor reports, Parallel execution, and Exadata-related features. Reading this book and using SQL helps you learn to tune even the most complex SQL, and you'll learn to do it quickly, without the huge learning curve usually associated with tuning as a whole. Firmly based in real-world problems, this book helps you reclaim system resources and avoid the most common bottleneck in overall performance, badly tuned SQL. You'll learn how the optimizer works, how to take advantage of its latest features, and when it's better to turn them off. Best of all, the book is updated to cover the very latest feature set in Oracle Database 12c. Covers AWR report integration Helps with SQL Monitor Report Interpretation Provides a reliable method that is repeatable Shows the very latest tuning features in Oracle Database 12c Enables the building of test cases without affecting production What You Will Learn Identify how and why complex SQL has gone wrong Correctly interpret AWR reports generated via SQLTXPLAIN Collect the best statistics for your environment Know when to invoke built-in tuning facilities Recognize when tuning is not the solution Spot the steps in a SQL statement's execution plan that are critical to performance of that statement Modify your SQL to solve performance problems and increase the speed and throughput of production database systems Who This Book Is For Anyone who deals with SQL and SQL tuning. Both developers and DBAs will benefit from learning how to use the SQLTXPLAIN tool, and from the problem solving methodology in this book.
    Note: Includes bibliographical references. - Description based on online resource; title from cover (Safari, viewed April 26, 2017)
    URL: https://learning.oreilly.com/library/view/-/9781484224359/?ar
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    The cloud DBA-Oracle : managing Oracle database in the cloud (2017)
    [Place of publication not identified] : Apress
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Oracle (Computer file) ; Cloud computing ; Database management ; Information technology ; Management ; Electronic books ; Electronic books ; local
    Abstract: Learn how to define strategies for cloud adoption of your Oracle database landscape. Understand private cloud, public cloud, and hybrid cloud computing in order to successfully design and manage databases in the cloud. The Cloud DBA-Oracle provides an overview of Database-as-a-Service (DBaaS) that you can use in defining your cloud adoption strategy. In-depth details of various cloud service providers for Oracle database are given, including Oracle Cloud and Amazon Web Services (AWS). Database administration techniques relevant to hosting databases in the cloud are shown in the book as well as the technical details needed to perform all database administration tasks and activities, such as migration to the cloud, backup in the cloud, and new database setup in the cloud. You will learn from real-world business cases and practical examples of administration of Oracle database in the cloud, highlighting the challenges faced and solutions implemented. What you will learn: Cloud computing concepts from the DBA perspective, such as private cloud, public cloud, hybrid cloud Technical details of all aspects of cloud database administration Challenges faced during setup of databases in private cloud or database migration to public cloud Key points to be kept in mind during database administration in the cloud Practical examples of successful Oracle database cloud migration and support Who Is This Book For All levels of IT professionals, from executives responsible for determining database strategies to database administrators and database architects who manage and design databases.
    Note: Includes bibliographical references. - Description based on online resource; title from cover (Safari, viewed November 29, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781484226353/?ar
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    Blockchain basics : a non-technical introduction in 25 steps (2017)
    [Place of publication not identified] : Apress
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Electronic funds transfers ; Blockchains (Databases) ; Database management ; Electronic commerce ; Data encryption (Computer science) ; Electronic books ; Electronic books ; local
    Abstract: In 25 concise steps, you will learn the basics of blockchain technology. No mathematical formulas, program code, or computer science jargon are used. No previous knowledge in computer science, mathematics, programming, or cryptography is required. Terminology is explained through pictures, analogies, and metaphors. This book bridges the gap that exists between purely technical books about the blockchain and purely business-focused books. It does so by explaining both the technical concepts that make up the blockchain and their role in business-relevant applications. What You'll Learn What the blockchain is Why it is needed and what problem it solves Why there is so much excitement about the blockchain and its potential Major components and their purpose How various components of the blockchain work and interact Limitations, why they exist, and what has been done to overcome them Major application scenarios Who This Book Is For Everyone who wants to get a general idea of what blockchain technology is, how it works, and how it will potentially change the financial system as we know it
    Note: Includes bibliographical references. - Description based on online resource; title from cover (Safari, viewed April 18, 2017)
    URL: https://learning.oreilly.com/library/view/-/9781484226049/?ar
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  • 35
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    Introducing ZFS on Linux : understand the basics of storage with ZFS (2017)
    [Place of publication not identified] : Apress
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Linux ; File organization (Computer science) ; Database management ; Virtual storage (Computer science) ; Electronic books ; Electronic books ; local
    Abstract: Learn the basics of do-it-yourself ZFS storage on Linux. This book delivers explanations of key features and provides best practices for planning, creating and sharing your storage. ZFS as a file system simplifies many aspects of the storage administrator's day-to-day job and solves a lot of problems that administrators face, but it can be confusing. Introducing ZFS on Linux addresses some of these issues and shows you how to resolve them. This book explains the technical side of ZFS, through planning the hardware list to planning the physical and logical layout of the storage. What You'll Learn Understand the gains ZFS gives system and storage administrators and utilize its features Install and configure ZFS software Create and maintain ZFS pool Administer ZFS storage, including sharing Who This Book is For This book is ideal for those who already have experience working with Linux systems but want to understand the bare basics of ZFS before moving further.
    Note: Description based on online resource; title from cover (Safari, viewed November 26, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781484233061/?ar
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  • 36
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    Introduction to deep learning using R : a step-by-step guide to learning and implementing deep learning models using R (2017)
    [Place of publication not identified] : Apress
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: R (Computer program language) ; Artificial intelligence ; Machine learning ; Neural networks (Computer science) ; Electronic books ; Electronic books ; local
    Abstract: Understand deep learning, the nuances of its different models, and where these models can be applied. The abundance of data and demand for superior products/services have driven the development of advanced computer science techniques, among them image and speech recognition. Introduction to Deep Learning Using R provides a theoretical and practical understanding of the models that perform these tasks by building upon the fundamentals of data science through machine learning and deep learning. This step-by-step guide will help you understand the disciplines so that you can apply the methodology in a variety of contexts. All examples are taught in the R statistical language, allowing students and professionals to implement these techniques using open source tools. What You'll Learn Understand the intuition and mathematics that power deep learning models Utilize various algorithms using the R programming language and its packages Use best practices for experimental design and variable selection Practice the methodology to approach and effectively solve problems as a data scientist Evaluate the effectiveness of algorithmic solutions and enhance their predictive power Who This Book Is For Students, researchers, and data scientists who are familiar with programming using R. This book also is also of use for those who wish to learn how to appropriately deploy these algorithms in applications where they would be most useful.
    Note: Includes bibliographical references. - Description based on online resource; title from cover (Safari, viewed December 3, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781484227343/?ar
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  • 37
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    Deep learning with Python : a hands-on introduction (2017)
    [Place of publication not identified] : Apress
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Python (Computer program language) ; Machine learning ; Artificial intelligence ; Electronic books ; Electronic books ; local
    Abstract: Discover the practical aspects of implementing deep-learning solutions using the rich Python ecosystem. This book bridges the gap between the academic state-of-the-art and the industry state-of-the-practice by introducing you to deep learning frameworks such as Keras, Theano, and Caffe. The practicalities of these frameworks is often acquired by practitioners by reading source code, manuals, and posting questions on community forums, which tends to be a slow and a painful process. Deep Learning with Python allows you to ramp up to such practical know-how in a short period of time and focus more on the domain, models, and algorithms. This book briefly covers the mathematical prerequisites and fundamentals of deep learning, making this book a good starting point for software developers who want to get started in deep learning. A brief survey of deep learning architectures is also included. Deep Learning with Python also introduces you to key concepts of automatic differentiation and GPU computation which, while not central to deep learning, are critical when it comes to conducting large scale experiments. What You Will Learn Leverage deep learning frameworks in Python namely, Keras, Theano, and Caffe Gain the fundamentals of deep learning with mathematical prerequisites Discover the practical considerations of large scale experiments Take deep learning models to production Who This Book Is For Software developers who want to try out deep learning as a practical solution to a particular problem. Software developers in a data science team who want to take deep learning models developed by data scientists to production.
    Note: Includes bibliographical references. - Description based on online resource; title from cover (Safari, viewed December 3, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781484227664/?ar
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  • 38
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    Oracle database upgrade and migration methods : including Oracle 12c release 2 (2017)
    [Place of publication not identified] : Apress
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Oracle (Computer file) ; Relational databases ; Database management ; Electronic books ; Electronic books ; local
    Abstract: Learn all of the available upgrade and migration methods in detail to move to Oracle Database version 12c. You will become familiar with database upgrade best practices to complete the upgrade in an effective manner and understand the Oracle Database 12c patching process. So it's time to upgrade Oracle Database to version 12c and you need to choose the appropriate method while considering issues such as downtime. This book explains all of the available upgrade and migration methods so you can choose the one that suits your environment. You will be aware of the practical issues and proactive measures to take to upgrade successfully and reduce unexpected issues. With every release of Oracle Database there are new features and fixes to bugs identified in previous versions. As each release becomes obsolete, existing databases need to be upgraded. Oracle Database Upgrade and Migration Methods explains each method along with its strategy, requirements, steps, and known issues that have been seen so far. This book also compares the methods to help you choose the proper method according to your constraints. Also included in this book: Pre-requisite patches and pre-upgrade steps Patching to perform changes at the binary and database level to apply bug fixes What You Will Learn: Understand the need and importance of database upgrading and migration Be aware of the challenges associated with database upgrade decision making Compare all upgrade/migration methods Become familiar with database upgrade best practices and recommendations Understand database upgrade concepts in high availability and multi-tenant environments Know the database downgrade steps in case the upgraded database isn't compatible with the environment Discover the features and benefits to the organization when it moves from the old database version to the latest database version Understand Oracle 12c patching concepts Who This Book Is For: Core database administrators, solution architects, business consultants, and database architects
    Note: Description based on online resource; title from cover (Safari, viewed November 27, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781484223284/?ar
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  • 39
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    Beginning SQL server reporting services (2016)
    [Place of publication not identified] : Apress
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: SQL server ; SQL (Computer program language) ; Database management ; Client/server computing ; Electronic books ; Electronic books ; local
    Abstract: Learn SQL Server Reporting Services and become current with the 2016 edition. Develop interactive, dynamic reports that combine graphs, charts, and tabular data into attractive dashboards and reports to delight business analysts and other users of corporate data. Deliver mobile reports to anywhere and any device. Build vital knowledge of Reporting Services at a time when Microsoft's dominance in business intelligence is on the rise. Beginning SQL Server Reporting Services turns novices into skilled report developers. The book begins by explaining how to set up the development environment. It then walks you through creating your first reports using the built-in wizard. After showing what is possible, the book breaks down and explains the skills needed to create reports from scratch. And not just reports! But also dashboards with charts, graphs, and maps. Each chapter builds on knowledge gained in the previous chapters with step-by-step tutorials. Beginning SQL Server Reporting Services boosts your skills and provides you additional career options. Don't be without those options. Grab and read this book today. Build reports with and without the built-in wizard. Build interactive features such as drill-through reports. Build dashboards full of charts, graphs, and maps. Build mobile reports. What You Will Learn Set up your development environment. Organized projects and share components among reports. Create report using a wizard. Create reports from scratch, including grouping levels, parameters, and drill through features. Build interactive dashboard with graphs, charts, and maps. Deploy and manage reports for use by others in the business. Who This Book Is For Database professionals of all experience levels who have some experience in databases and want to make the leap into business intelligence reporting. The book is an excellent choice for those needing to add Reporting Services to their current list of skills, or who are looking for a skill set that is in demand for in order to break into IT.
    Note: Description based on online resource; title from cover (Safari, viewed November 21, 2016)
    URL: https://learning.oreilly.com/library/view/-/9781484219904/?ar
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  • 40
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    Pro SQL server internals (2016)
    [Place of publication not identified] : Apress
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Series Statement: The expert's voice in SQL
    Keywords: SQL server ; Database management ; Client/server computing ; Electronic books ; Electronic books ; local
    Abstract: Improve your ability to develop, manage, and troubleshoot SQL Server solutions by learning how different components work "under the hood," and how they communicate with each other. The detailed knowledge helps in implementing and maintaining high-throughput databases critical to your business and its customers. You'll learn how to identify the root cause of each problem and understand how different design and implementation decisions affect performance of your systems. New in this second edition is coverage of SQL Server 2016 Internals, including In-Memory OLTP, columnstore enhancements, Operational Analytics support, Query Store, JSON, temporal tables, stretch databases, security features, and other improvements in the new SQL Server version. The knowledge also can be applied to Microsoft Azure SQL Databases that share the same code with SQL Server 2016. Pro SQL Server Internals is a book for developers and database administrators, and it covers multiple SQL Server versions starting with SQL Server 2005 and going all the way up to the recently released SQL Server 2016. The book provides a solid road map for understanding the depth and power of the SQL Server database server and teaches how to get the most from the platform and keep your databases running at the level needed to support your business. The book: Provides detailed knowledge of new SQL Server 2016 features and enhancements Includes revamped coverage of columnstore indexes and In-Memory OLTP Covers indexing and transaction strategies Shows how various database objects and technologies are implemented internally, and when they should or should not be used Demonstrates how SQL Server executes queries and works with data and transaction log What You Will Learn Design and develop database solutions with SQL Server. Troubleshoot design, concurrency, and performance issues. Choose the right database objects and technologies for the job. Reduce costs and improve availability and manageability. Design disaster recovery and high-availability strategies. Improve performance of OLTP and data warehouse systems through in-memory OLTP and Columnstore indexes. Who This Book Is For Developers and database administrators who want to design, develop, and maintain systems in a way that gets the most from SQL Server. This book is an excellent choice for people who prefer to understand and fix the root cause of a problem rather than applying a 'band aid' to it.
    Note: Description based on online resource; title from cover (Safari, viewed March 1, 2017)
    URL: https://learning.oreilly.com/library/view/-/9781484219645/?ar
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  • 41
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    Beginning SQL queries : from novice to professional (2016)
    [Place of publication not identified] : Apress
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations.
    Edition: Second edition.
    Series Statement: Expert's voice in SQL
    Keywords: SQL (Computer program language) ; Querying (Computer science) ; Database management ; Computer programming ; Relational databases ; Electronic books ; Electronic books ; local
    Abstract: Get started on mastering the one language binding the entire database industry. That language is SQL, and how it works is must-have knowledge for anyone involved with relational databases, and surprisingly also for anyone involved with NoSQL databases. SQL is universally used in querying and reporting on large data sets in order to generate knowledge to drive business decisions. Good knowledge of SQL is crucial to anyone working with databases, because it is with SQL that you retrieve data, manipulate data, and generate business results. Every relational database supports SQL for its expressiveness in writing queries underlying reports and business intelligence dashboards. Knowing how to write good queries is the foundation for all work done in SQL, and it is a foundation that Clare Churcher's book, Beginning SQL Queries , 2nd Edition, lays well. What You Will Learn Write simple queries to extract data from a single table Combine data from many tables into one business result using set operations Translate natural language questions into database queries providing meaningful information to the business Avoid errors associated with duplicated and null values Summarize data with amazing ease using the newly-added feature of window functions Tackle tricky queries with confidence that you are generating correct results Investigate and understand the effects of indexes on the efficiency of queries Who This Book Is For Beginning SQL Queries, 2nd Edition is aimed at intelligent laypeople who need to extract information from a database, and at developers and other IT professionals who are new to SQL. The book is especially useful for business intelligence analysts who must ask more complex questions of their database than their GUI-based reporting software supports. Such people might be business owners wanting to target specific customers, scientists and students needing to extract subsets of their research data, or end users wanting to make the best use of databases for their clubs and societies.
    Note: "Apply the right operations to the right problem to generate the right results, every time.". - Includes index. - Description based on online resource; title from cover (Safari, viewed September 19, 2016)
    URL: https://learning.oreilly.com/library/view/-/9781484219553/?ar
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  • 42
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    High performance SQL Server : the go faster book : bringing consistent response time to mission-critical applications (2016)
    [Place of publication not identified] : Apress
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations.
    Series Statement: The expert's voice in SQL
    Keywords: SQL server ; Database management ; Client/server computing ; Electronic books ; Electronic books ; local
    Abstract: Design and configure SQL Server instances and databases in support of high-throughput applications that are mission-critical and provide consistent response times in the face of variations in user numbers and query volumes. Learn to configure SQL Server and design your databases to support a given instance and workload. You'll learn advanced configuration options, in-memory technologies, storage and disk configuration, and more, all toward enabling your desired application performance and throughput. Configuration doesn't stop with implementation. Workloads change over time, and other impediments can arise to thwart desired performance. High Performance SQL Server covers monitoring and troubleshooting to aid in detecting and fixing production performance problems and minimizing application outages. You'll learn a variety of tools, ranging from the traditional wait analysis methodology to the new query store, and you'll learn how improving performance is really an iterative process. High Performance SQL Server is based on SQL Server 2016, although most of its content can be applied to prior versions of the product. This book is an excellent complement to performance tuning books focusing on SQL queries, and provides the other half of what you need to know by focusing on configuring the instances on which mission-critical queries are executed. Covers SQL Server instance-configuration for optimal performance Helps in implementing SQL Server in-memory technologies Provides guidance toward monitoring and ongoing diagnostics What You Will Learn Understand SQL Server's database engine and how it processes queries Configure instances in support of high-throughput applications Provide consistent response times to varying user numbers and query volumes Design databases for high-throughput applications with focus on performance Record performance baselines and monitor SQL Server instances against them Troubleshot and fix performance problems Who This Book Is For SQL Server database administrators, developers, and data architects. The book is also of use to system administrators who are managing and are responsible for the physical servers on which SQL Server instances are run.
    Note: "Covers SQL Server 2016.". - Description based on online resource; title from cover (Safari, viewed March 29, 2017)
    URL: https://learning.oreilly.com/library/view/-/9781484222713/?ar
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  • 43
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    Jumpstart Tableau : a step-by-step guide to better data visualization (2016)
    [Place of publication not identified] : Apress
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Tableau (Computer file) ; Information visualization ; Computer programs ; Application software ; Development ; Database management ; Electronic books ; Electronic books ; local
    Abstract: This book simplifies the use of Tableau software functionality for novice users so that they can create powerful data visualizations easily and quickly. Since it is often very difficult and expensive to provide external training on BI tools, this book aims to equip the reader with the resource they need to do it themselves. Jumpstart Tableau covers the basic reporting and analysis functions that most BI users perform in their day-to-day work. These include connecting to a data source, working with dimensions and measures, developing reports and charts, saving workbooks, filtering, swapping, sorting, formatting, grouping, creating hierarchies, forecasting, exporting, distributing, as well developing various chart types. Each exercise in Jumpstart Tableau provides screenshots that cover every step from start to finish. The exercises are based on a comprehensive sample Excel-based data source that Tableau Software (version 9) has provided, which makes it very easy to duplicate the exercises on the real software. In addition, the book: Enables readers to develop reports, queries, and visualizations Perform data analysis Execute each function in a step-by-step manner Provides the basic hands-on ability which can enable users to work up to more advanced and complex Tableau functionality Shows how to integrate individual development of content, such as tables/charts and visualizations., onto a dashboard for an effective presentation
    Note: Description based on online resource; title from cover (Safari, viewed October 5, 2017)
    URL: https://learning.oreilly.com/library/view/-/9781484219348/?ar
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  • 44
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    Text analytics with Python : a practical real-world approach to gaining actionable insights from your data (2016)
    [Place of publication not identified] : Apress
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Natural language processing (Computer science) ; Python (Computer program language) ; Data mining ; Database management ; Big data ; Electronic books ; Electronic books ; local
    Abstract: Derive useful insights from your data using Python. You will learn both basic and advanced concepts, including text and language syntax, structure, and semantics. You will focus on algorithms and techniques, such as text classification, clustering, topic modeling, and text summarization. Text Analytics with Python teaches you the techniques related to natural language processing and text analytics, and you will gain the skills to know which technique is best suited to solve a particular problem. You will look at each technique and algorithm with both a bird's eye view to understand how it can be used as well as with a microscopic view to understand the mathematical concepts and to implement them to solve your own problems. What You Will Learn: Understand the major concepts and techniques of natural language processing (NLP) and text analytics, including syntax and structure Build a text classification system to categorize news articles, analyze app or game reviews using topic modeling and text summarization, and cluster popular movie synopses and analyze the sentiment of movie reviews Implement Python and popular open source libraries in NLP and text analytics, such as the natural language toolkit (nltk), gensim, scikit-learn, spaCy and Pattern Who This Book Is For: IT professionals, analysts, developers, linguistic experts, data scientists, and anyone with a keen interest in linguistics, analytics, and generating insights from textual data
    Note: Description based on online resource; title from cover (Safari, viewed March 29, 2017)
    URL: https://learning.oreilly.com/library/view/-/9781484223871/?ar
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  • 45
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    Practical Hadoop ecosystem : a definitive guide to Hadoop-related frameworks and tools (2016)
    [Place of publication not identified] : Apress
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Apache Hadoop ; Database management ; Electronic books ; Electronic books ; local
    Abstract: Learn how to use the Apache Hadoop projects, including MapReduce, HDFS, Apache Hive, Apache HBase, Apache Kafka, Apache Mahout, and Apache Solr. From setting up the environment to running sample applications each chapter in this book is a practical tutorial on using an Apache Hadoop ecosystem project. While several books on Apache Hadoop are available, most are based on the main projects, MapReduce and HDFS, and none discusses the other Apache Hadoop ecosystem projects and how they all work together as a cohesive big data development platform. What You Will Learn: Set up the environment in Linux for Hadoop projects using Cloudera Hadoop Distribution CDH 5 Run a MapReduce job Store data with Apache Hive, and Apache HBase Index data in HDFS with Apache Solr Develop a Kafka messaging system Stream Logs to HDFS with Apache Flume Transfer data from MySQL database to Hive, HDFS, and HBase with Sqoop Create a Hive table over Apache Solr Develop a Mahout User Recommender System Who This Book Is For: Apache Hadoop developers. Pre-requisite knowledge of Linux and some knowledge of Hadoop is required.
    Note: Description based on online resource; title from cover (Safari, viewed November 22, 2016)
    URL: https://learning.oreilly.com/library/view/-/9781484221990/?ar
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  • 46
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    Social Machines : The Coming Collision of Artificial Intelligence, Social Networking, and Humanity (2016)
    Berkeley, CA : Apress | Cham : Springer International Publishing AG
    Details
    ISBN: 9781484211564 , 1484211561
    Language: English
    Pages: 1 Online-Ressource (XVI, 174 Seiten) , 51 illus., 46 illus. in color.
    Edition: 1st ed. 2016
    Parallel Title: Erscheint auch als Hendler, James Social Machines
    DDC: 006.3
    RVK:
    SR 850
    RVK:
    ST 278
    RVK:
    ST 300
    RVK:
    ST 515
    Keywords: Artificial intelligence ; Computers ; Artificial Intelligence ; Computing Milieux
    DOI: 10.1007/978-1-4842-1156-4
    URL: https://doi.org/10.1007/978-1-4842-1156-4
    URL: Inhaltsverzeichnis
    URL: Ausführliche Beschreibung
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    Beginning Oracle database 12c administration : from novice to professional (2015)
    [Place of publication not identified] : Apress
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Series Statement: The expert's voice in Oracle
    Keywords: Oracle (Computer file) ; Database management ; Relational databases ; Electronic books ; Electronic books ; local
    Abstract: Beginning Oracle Database 12c Administration is your entry point into a successful and satisfying career as an Oracle Database Administrator. The chapters of this book are logically organized into four parts closely tracking the way your database administration career will naturally evolve. Part 1 "Database Concepts" gives necessary background in relational database theory and Oracle Database concepts, Part 2 "Database Implementation" teaches how to implement an Oracle database correctly, Part 3 "Database Support" exposes you to the daily routine of a database administrator, and Part 4 "Database Tuning" introduces the fine art of performance tuning. Beginning Oracle Database 12c Administration provides information that you won't find in other books on Oracle Database. You'll discover not only technical information, but also guidance on work practices that are as vital to your success as are your technical skills. The author's favorite chapter is "The Big Picture and the Ten Deliverables." (It is the editor's favorite chapter too!) If you take the lessons in that chapter to heart, you can quickly become a much better Oracle database administrator than you ever thought possible. You will grasp the key aspects of theory behind relational database management systems and learn how to: Install and configure an Oracle database, and ensure that it's properly licensed; Execute common management tasks in a Linux environment; Defend against data loss by implementing sound backup and recovery practices; and Improve database and query performance.
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed October 3, 2017)
    URL: https://learning.oreilly.com/library/view/-/9781484201930/?ar
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  • 48
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    Building the SharePoint user experience (2009)
    Berkeley, CA : Apress
    Details
    Language: English
    Pages: 1 online resource (xix, 349 p.) , ill.
    Series Statement: Expert's voice in SharePoint
    Parallel Title: Erscheint auch als
    Keywords: Microsoft SharePoint (Electronic resource) ; Web site development ; Computer programs ; Web sites ; Management ; Database management ; Electronic books ; lcgft ; Electronic books ; local
    Abstract: The SharePoint user experience is critical in application architecture and user acceptance. Using tools available to all developers, Building the SharePoint User Experience will show you how to rebuild a SharePoint site, taking it all the way from the default out-of-the-box experience to your very own customized user experience. Along the way you will receive a solid understanding of the SharePoint architecture that will enable you to take full advantage of the capabilities of SharePoint as a platform. This will allow you to tailor the SharePoint user experience to increase the value of solutions and to work more effectively with projects. And that, of course, leads to successful SharePoint solutions in your business that your users are happy to accept and use. What you'll learn Learn the tools needed to create effective and highly tailored user interfaces and experiences. Dissect an out-of-the-box site to learn how every user experience element is built. Master the core functions of sites, lists, content types, and fields. Build a site from scratch using tools available to everyone. Speed up development time by using little known tips and tricks. See how new skills can be applied to everyday tasks with simple exercises. Who this book is for This book is for SharePoint developers who want to learn how to work with designers and other developers to create custom and tailored user experiences, including custom forms, content types, lists, fields, pages, and navigation that will better match your project's requirements. This is not a book for graphic designers-you'll find no Photoshop tips here!
    Note: "Understanding and implementing SharePoint design principles"--Cover. - Includes index. - Description based on print version record
    URL: https://learning.oreilly.com/library/view/-/9781430218968/?ar
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