Название: Essential Math for AI: Next-Level Mathematics for Efficient and Successful AI Systems (Final Release)
Автор: Hala Nelson
Издательство: O’Reilly Media, Inc.
Год: 2023
Страниц: 605
Язык: английский
Формат: True/Retail PDF EPUB
Размер: 40.8 MB

Companies are scrambling to integrate AI into their systems and operations. But to build truly successful solutions, you need a firm grasp of the underlying mathematics. This accessible guide walks you through the math necessary to thrive in the AI field such as focusing on real-world applications rather than dense academic theory. Engineers, data scientists, and students alike will examine mathematical topics critical for AI--including regression, neural networks, optimization, backpropagation, convolution, Markov chains, and more--through popular applications such as computer vision, natural language processing, and automated systems. And supplementary Jupyter notebooks shed light on examples with Python code and visualizations. Whether you're just beginning your career or have years of experience, this book gives you the foundation necessary to dive deeper in the field.

Название: Python in a Nutshell: A Desktop Quick Reference, 4th Edition (Final Release)
Автор: Alex Martelli, Anna Martelli Ravenscroft, Steve Holden
Издательство: O’Reilly Media, Inc.
Год: 2023
Страниц: 735
Язык: английский
Формат: pdf (true), epub (true)
Размер: 10.1 MB

The Python programming language reconciles many apparent contradictions: elegant yet pragmatic, simple yet powerful, it’s very high-level yet doesn’t get in your way when you need to fiddle with bits and bytes, and it’s suitable for novice programmers and great for experts, too. This book is intended for programmers with some previous exposure to Python, as well as experienced programmers coming to Python for the first time from other languages. It provides a quick reference to Python itself, the most commonly used parts of its vast standard library, and a few of the most popular and useful third-party modules and packages. The Python ecosystem has grown so much in richness, scope, and complexity that a single volume can no longer reasonably hope to be encyclopedic. Still, the book covers a wide range of application areas, including web and network programming, XML handling, database interactions, and high-speed numeric computing. It also explores Python’s cross-platform capabilities and the basics of extending Python and embedding it in other applications.

Название: Guide to Java: A Concise Introduction to Programming (2nd Edition)
Автор: James T. Streib, Takako Soma
Издательство: Springer
Год: 2023
Страниц: 436
Язык: английский
Формат: pdf (true)
Размер: 26.0 MB

The purpose of this text is to help the reader learn very quickly how to program using the Java programming language. This is accomplished by concentrating on the fundamentals, providing plenty of illustrations and examples, and using visual contour diagrams to illustrate the object-oriented semantics of the language. Addressing the need to acquire a good working model of objects in order to avoid possible misconceptions, the text introduces the core concepts of object-oriented programming at any stage, supported by the use of contour diagrams. Each chapter has one or more complete programs to illustrate the various ideas presented, and to help readers learn how to write programs on their own. Chapter summaries and practical exercises also are included to help the reader to review their progress and practice their skills. This substantially updated second edition has been expanded with additional exercises, and includes new material on bit manipulation and parallel processing.

Название: The Rules of Programming: How to Write Better Code, First Edition (Final Release)
Автор: Chris Zimmerman
Издательство: O’Reilly Media, Inc.
Год: 2023
Страниц: 347
Язык: английский
Формат: pdf (true), epub (true)
Размер: 10.2 MB

This philosophy-of-programming guide presents a unique and entertaining take on how to think about programming. A collection of 21 pragmatic rules, each presented in a standalone chapter, captures the essential wisdom that every freshly minted programmer needs to know and provides thought-provoking insights for more seasoned programmers. The examples in the book are all written in C++. If you’re a Python or jаvascript programmer, you’ll be happier if you read Appendix A, “Reading C++ for Python Programmers”, or Appendix B, “Reading C++ for jаvascript Programmers”, before getting too far into the Rules. The two appendices act as Rosetta Stones to translate that C++ into the concepts you’re used to. If your experience is with some other language and you find the C++ examples hard to follow, then I suggest the phenomenal website Rosetta Code.

Название: Machine Learning for High-Risk Applications: Techniques for Responsible AI (11th Early Release)
Автор: Patrick Hall, James Curtis, Parul Pandey
Издательство: O’Reilly Media, Inc.
Год: 2023-02-10
Страниц: 381
Язык: английский
Формат: epub (true)
Размер: 36.2 MB

The past decade has witnessed a wide adoption of artificial intelligence and machine learning (AI/ML) technologies. However, a lack of oversight into their widespread implementation has resulted in harmful outcomes that could have been avoided with proper oversight. Before we can realize AI/ML's true benefit, practitioners must understand how to mitigate its risks. This book describes responsible AI, a holistic approach for improving AI/ML technology, business processes, and cultural competencies that builds on best practices in risk management, cybersecurity, data privacy, and applied social science.

Название: Explainable AI Recipes: Implement Solutions to Model Explainability and Interpretability with Python
Автор: Pradeepta Mishra
Издательство: Apress
Год: 2023
Страниц: 272
Язык: английский
Формат: pdf (true), epub (true)
Размер: 25.2 MB

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.

Название: Язык программирования Java SE 8. Подробное описание
Автор: Джеймс Гослинг, Билл Джой, Гай Стил, Гилад Брача, Алекс Бакли
Издательство: Вильямс
Год: 2015 - 5-е издание
Cтраниц: 676
Формат: pdf
Размер: 25 мб
Язык: русский

Эта книга написана разработчиками языка Java и является полным техническим справочником по этому языку программирования. Она обеспечивает полный, точный и подробный охват всех аспектов языка программирования Java. В ней полностью описаны новые возможности, добавленные в Java SE 8: лямбда-выражения, ссылки на методы, методы по умолчанию, аннотации типов и повторяющиеся аннотации.

Название: Beginning Go Programming: Build Reliable and Efficient Applications with Go
Автор: Rumeel Hussain, Maryam Zulfiqar
Издательство: Apress
Год: 2022
Страниц: 272
Язык: английский
Формат: pdf (true), epub (true)
Размер: 10.2 MB

Understand and write programs in Go, a multi-paradigm language with built-in features for concurrent programming. This book enables developers to build software that is simple, reliable, and efficient. It'll also help beginners to start programming Go-based applications. Beginning Go Programming begins by explaining the programming fundamentals of the Go language, including basic syntax, data type and structures, and the use of functions and methods. Next, it covers string formatting, Unicode data handling, and how to use regular expressions in Go. Further, it discusses how to encode and decode JSON formatted data for Go applications, and how to work with HTTP in Go. It concludes by exploring concurrency and covering the most powerful features of Go, as well as tips and tricks related to it. After reading this book and working through its practical examples, you will be ready to begin programming your own Go-based applications.

Название: Глубокое обучение на Python, 2-е межд. издание
Автор: Франсуа Шолле
Издательство: Питер
Год: 2023
Страниц: 576
Язык: русский
Формат: pdf
Размер: 10.8 MB

Глубокое обучение быстро развивается, открывая все новые и новые возможности создания ПО. Это не только автоматический перевод текстов с одного языка на другой, распознавание изображений, но и многое другое. Книга написана для всех, кто хочет начать изучение технологии глубокого обучения с нуля или расширить уже имеющиеся знания. Инженеры, работающие в области машинного обучения, разработчики программного обеспечения и студенты найдут много ценного на страницах этого издания. Технологии глубокого обучения будут описываться максимально доступно — мы начнем с самого простого, постепенно переходя к последним достижениям. Я старался найти баланс между теорией и практикой и избегать математических формул, предпочитая объяснять основные идеи с помощью фрагментов кода и интуитивно понятных моделей. Вы увидите множество примеров программного кода с подробными комментариями, практическими рекомендациями и простыми обобщенными объяснениями всего, что нужно знать для использования глубокого обучения в решении конкретных задач. В примерах в качестве внутреннего механизма взяты фреймворк глубокого обучения Keras, написанный на Python, и библиотека TensorFlow 2. Они демонстрируют новейшие приемы их использования.

Название: Graph-Powered Analytics and Machine Learning with TigerGraph: Driving Business Outcomes with Connected Data (10th Early Release)
Автор: Victor Lee, Phuc Kien Nguyen, Xinyu Chang
Издательство: O’Reilly Media, Inc.
Год: 2023-02-07
Страниц: 149
Язык: английский
Формат: epub
Размер: 17.4 MB

With the rapid rise of graph databases, organizations are now implementing advanced analytics and Machine Learning solutions to help drive business outcomes. This practical guide shows data scientists, data engineers, architects, and business analysts how to get started with a graph database using TigerGraph, one of the leading graph database models available. You'll explore a three-stage approach to deriving value from connected dаta: connect, analyze, and learn. Victor Lee, Xinyu Chan, and Gaurav Deshpande from TigerGraph present real use cases covering several contemporary business needs. By diving into hands-on exercises using TigerGraph Cloud, you'll quickly become proficient at designing and managing advanced analytics and Machine Learning solutions for your organization.