Название: Julia Quick Syntax Reference: A Pocket Guide for Data Science Programming Автор: Antonello Lobianco Издательство: Apress Год: 2019 Формат: true pdf/epub/mobi Страниц: 216 Размер: 10 Mb Язык: English
This quick Julia programming language guide is a condensed code and syntax reference to the Julia 1.x programming language, updated with the latest features of the Julia APIs, libraries, and packages. It presents the essential Julia syntax in a well-organized format that can be used as a handy reference. This book provides an introduction that reveals basic Julia structures and syntax; discusses data types, control flow, functions, input/output, exceptions, metaprogramming, performance, and more. Additionally, you'll learn to interface Julia with other programming languages such as R for statistics or Python. You will learn how to use Julia packages for data analysis, numerical optimization and symbolic computation, and how to disseminate your results in dynamic documents or interactive web pages. In this book, the focus is on providing important information as quickly as possible. It is packed with useful information and is a must-have for any Julia programmer.
Название: Learn Java with Math: Using Fun Projects and Games Автор: Ron Dai Издательство: Apress Год: 2019 Формат: true pdf/epub/mobi Страниц: 231 Размер: 10.7 Mb Язык: English
There are many good Java programming books on the market, but it's not easy to find one fit for a beginner. This book simplifies the complexity of Java programming and guides you through the journey to effectively work under the hood. You'll start with the fundamentals of Java programming and review how it integrates with basic mathematical concepts through many practical examples. You'll witness firsthand how Java can be a powerful tool or framework in your experimentation work.
Название: Deep Reinforcement Learning with Guaranteed Performance: A Lyapunov-Based Approach Автор: Yinyan Zhang, Shuai Li Издательство: Springer Год: 2019 (2020 Edition) Страниц: 237 Язык: английский Формат: pdf (true) Размер: 11.2 MB
This book discusses methods and algorithms for the near-optimal adaptive control of nonlinear systems, including the corresponding theoretical analysis and simulative examples, and presents two innovative methods for the redundancy resolution of redundant manipulators with consideration of parameter uncertainty and periodic disturbances. Reinforcement learning and, in particular, deep reinforcement learning have attracted more and more research interest in recent years. Such type of learning methods could be a powerful tool for the control of nonlinear systems.
Название: Evolutionary Machine Learning Techniques: Algorithms and Applications Автор: Seyedali Mirjalili, Hossam Faris Издательство: Springer Год: 2020 Страниц: 287 Язык: английский Формат: pdf (true) Размер: 10.1 MB
This book provides an in-depth analysis of the current evolutionary Machine Learning (ML) techniques. Discussing the most highly regarded methods for classification, clustering, regression, and prediction, it includes techniques such as support vector machines, extreme learning machines, evolutionary feature selection, artificial neural networks including feed-forward neural networks, multi-layer perceptron, probabilistic neural networks, self-optimizing neural networks, radial basis function networks, recurrent neural networks, spiking neural networks, neuro-fuzzy networks, modular neural networks, physical neural networks, and deep neural networks.
Название: Introducing Python: Modern Computing in Simple Packages Second Edition Автор: Bill Lubanovic Издательство: O'Reilly Media Год: 2019 Формат: epub Страниц: 605 Размер: 10.8 Mb Язык: English
Easy to understand and fun to read, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you’ve learned.
Название: Deep Learning Techniques for Music Generation Автор: Jean-Pierre Briot, Gaetan Hadjere Издательство: Springer Год: 2019 Страниц: 303 Язык: английский Формат: pdf (true) Размер: 12.1 MB
This book is a survey and analysis of how Deep Learning (DL) can be used to generate musical content. The authors offer a comprehensive presentation of the foundations of Deep Learning techniques for music generation. They also develop a conceptual framework used to classify and analyze various types of architecture, encoding models, generation strategies, and ways to control the generation. There is no consensual definition for Deep Learning. It is a repertoire of Machine Learning (ML) techniques, based on artificial neural networks. The key aspect and common ground is the term deep. This means that there are multiple layers processing multiple hierarchical levels of abstractions, which are automatically extracted from data.
Название: Keeping Your AI Under Control: A Pragmatic Guide to Identifying, Evaluating, and Quantifying Risks Автор: Anand Tamboli Издательство: Apress Год: 2019 Страниц: 133 Язык: английский Формат: pdf (true), rtf, epub Размер: 10.1 MB
Artificial Intelligence (AI), we often see it as a panacea that can somehow resolve everything. As it stands today, the outlook is still highly debatable. AI has now become a real-world application technology, and it is becoming part of modern life fabric. Much of our daily lives intertwine with Artificial Intelligence. From watching movies recommended by our entertainment streaming service, to interacting with customer service chatbots, to autotagging photos of friends in our social media apps, AI plays an invisible part in enriching our lives. While AI may be seen as a panacea for enterprise advancement and consumer convenience, it is still an emerging technology, and its explosive growth needs to be approached with proper care and preparation. How do we tackle the challenges it presents, and how do we make sure that it does precisely what it is supposed to do?
Название: Creating Business Applications with Office 365: Techniques in SharePoint, PowerApps, Power BI, and More Автор: Jeffrey M. Rhodes Издательство: Apress Год: 2019 Формат: true pdf/epub Страниц: 241 Размер: 28.4 Mb Язык: English
Take your Office 365 and SharePoint projects to a higher level by using PowerApps, Flow, Power BI, jаvascript/jQuery jQuery UI widgets, Cascading Style Sheets (CSS), and more. This book will help you create easier solutions to client-side problems and applications. Additionally, you will be able to effectively visualize your data with Power BI. This book starts with configuration of SharePoint and Office 365 followed by your first example of PowerApps. You will lay the foundation for a help ticket application and see how to update a SharePoint list with PowerApps. You then will work with the jQuery open source library and learn how to use the developer tools within your browser. This allows you to customize data displays in SharePoint.
Название: Azure Internet of Things Revealed: Architecture and Fundamentals Автор: Robert Stackowiak Издательство: Apress Год: 2019 Формат: true pdf/epub Страниц: 205 Размер: 40.4 Mb Язык: English
Design, build, and justify an optimal Microsoft IoT footprint to meet your project needs. This book describes common Internet of Things components and architecture and then focuses on Microsoft’s Azure components relevant in deploying these solutions. Microsoft-specific topics addressed include: deploying edge devices and pushing intelligence to the edge; connecting IoT devices to Azure and landing data there, applying Azure Machine Learning, analytics, and Cognitive Services; roles for Microsoft solution accelerators and managed solutions; and integration of the Azure footprint with legacy infrastructure.
Название: Тестирование объектно-ориентированного программного обеспечения. Практическое пособие Автор: Джон Макгрегор, Девид Сайкс Издательство: ТИД "ДС" Год: 2002 ISBN: 966-7992-12-8 Формат: pdf Страниц: 417 Размер: 15,1 Mb Язык: Русский
Книга "Тестирование объектно-ориентированного программного обеспечения. Практическое пособие" основное внимание уделяет реальному планированию и эффективной реализации процесса тестирования объектно-ориентированного и компонентного программного обеспечения. Подробно рассматриваются концептуальные отличия технологий тестирования объектно-ориентированного программного обеспечения от таковых для традиционного процедурного программного обеспечения. Предлагаются уникальные методики подбора тестовых случаев, обеспечивающих максимальное покрытие и адекватность тестирования.
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Название: Тестирование объектно-ориентированного программного обеспечения. Практическое пособие