Название: Learning Ray: Flexible Distributed Python for Data Science (Early Release)
Автор: Max Pumperla, Edward Oakes, Richard Liaw
Издательство: O’Reilly Media, Inc.
Год: 2022-01-21
Язык: английский
Формат: pdf, epub
Размер: 10.2 MB

Get started with Ray, the open source distributed computing framework that greatly simplifies the process of scaling compute-intensive Python workloads. With this practical book, Python programmers, data engineers, and data scientists will learn how to leverage Ray locally and spin up compute clusters. You'll be able to use Ray to structure and run Machine Learning programs at scale. Authors Max Pumperla, Edward Oakes, and Richard Liaw show you how to build reinforcement learning applications that serve trained models with Ray. You'll understand how Ray fits into the current landscape of Data Science tools and discover how this programming language continues to integrate ever more tightly with these tools. Distributed computation is hard, but with Ray you'll find it easy to get started. What I like about Ray is that it checks all the above boxes. It’s a flexible distributed computing framework build for the Python data science community. Ray is easy to get started and keeps simple things simple.

Название: Kubernetes: Up and Running: Dive into the Future of Infrastructure, 3rd Edition (Third Early Release)
Автор: Brendan Burns, Joe Beda, Kelsey Hightower
Издательство: O’Reilly Media, Inc.
Год: 2022-01-22
Страниц: 290
Язык: английский
Формат: pdf, epub
Размер: 12.4 MB

In just five years, Kubernetes has radically changed the way developers and ops personnel build, deploy, and maintain applications in the cloud. With this book's updated third edition, you'll learn how this popular container orchestrator can help your company achieve new levels of velocity, agility, reliability, and efficiency--whether you're new to distributed systems or have been deploying cloud native apps for some time. Brendan Burns, Joe Beda, Kelsey Hightower, and Lachlan Evenson--who have worked on Kubernetes at Google and beyond--explain how this system fits into the life cycle of a distributed application. Software developers, engineers, and architects will learn ways to use tools and APIs to automate scalable distributed systems for online services, machine learning applications, or even a cluster of Raspberry Pi computers.

Название: iOS Test-Driven Development by Tutorials (2nd Edition)
Автор: Joshua Greene, Michael Katz
Издательство: Razeware LLC
Год: 2022
Страниц: 332
Язык: английский
Формат: pdf (true), epub
Размер: 27.7 MB

Learn How to Test iOS Applications! This book is for intermediate iOS developers who already know the basics of iOS and Swift development but want to learn how to write code which is both testable and maintainable. To start, you’ll learn the TDD Cycle and how to implement these concepts within an iOS application. The book then takes you through Test Expressions and Expectation so that you can test synchronous code. You’ll then write tests to verify networking endpoints and the ability to mock the returned results, followed by writing tests that run against authentication endpoints. Continue trouble-shooting your apps by understanding common legacy problems, as well as breaking dependencies into modules. And, finally, refactor large classes into smaller, more manageable classes and objects.

Название: Cloud Native Infrastructure with Azure (Second Early Release)
Автор: Nishant Singh and Michael Kehoe
Издательство: O’Reilly Media
Год: 2022-01-20
Формат: epub/pdf(conv.)
Размер: 13.2 Mb
Язык: English

The cloud is becoming the de facto home for companies ranging from enterprises to startups. Moving to the cloud means moving your applications from monolith to microservices. But once you do, maintaining and running these services brings its own level of complexity. The answer? Modularity, deployability, observability, and self-healing capacity through cloud native development.

Название: Антология машинного обучения. Важнейшие исследования в области ИИ за последние 60 лет
Автор: Терренс Сейновски
Издательство: Москва
Год: 2022
Формат: ePUB, PDF
Страниц: 440
Размер: 11,7 Mb
Язык: Русский

История машинного обучения, от теоретических исследований 50-х годов до наших дней, в изложении ведущего мирового специалиста по изучению нейросетей и искусственного интеллекта Терренса Сейновски. Автор рассказывает обо всех ключевых исследованиях и событиях, повлиявших на развитие этой технологии, начиная с первых конгрессов, посвященных искусственному разуму, и заканчивая глубоким обучением и возможностями, которые оно предоставляет разработчикам ИИ.

Название: Data Algorithms with Spark (Sixth Early Release)
Автор: Mahmoud Parsian
Издательство: O’Reilly Media, Inc.
Год: 2022-01-20
Формат: epub/pdf (conv.)
Размер: 18.2 Mb
Язык: English

Apache Spark’s speed, ease of use, sophisticated analytics, and multilanguage support makes practical knowledge of this cluster-computing framework a required skill for data engineers and data scientists. With this hands-on guide, anyone looking for an introduction to Spark will learn practical algorithms and examples for this framework using PySpark.

Название: Machine Learning Fundamentals: A Concise Introduction
Автор: Hui Jiang
Издательство: Cambridge University Press
Год: 2022
Формат: PDF
Страниц: 420
Размер: 64 Mb
Язык: English

This lucid, accessible introduction to supervised machine learning presents core concepts in a focused and logical way that is easy for beginners to follow. The author assumes basic calculus, linear algebra, probability and statistics but no prior exposure to machine learning. Coverage includes widely used traditional methods such as SVMs, boosted trees, HMMs, and LDAs, plus popular deep learning methods such as convolution neural nets, attention, transformers, and GANs. Organized in a coherent presentation framework that emphasizes the big picture, the text introduces each method clearly and concisely “from scratch” based on the fundamentals. All methods and algorithms are described by a clean and consistent style, with a minimum of unnecessary detail. Numerous case studies and concrete examples demonstrate how the methods can be applied in a variety of contexts.

Название: Algorithms and Data Structures for Massive Datasets (MEAP Version 8)
Автор: Dzejla Medjedovic, Emin Tahirovic, and Ines Dedo
Издательство: Manning Publications
Год: 2022
Формат: True PDF
Страниц: 280
Размер: 20.1 Mb
Язык: English

Algorithms and Data Structures for Massive Datasets teaches you to take advantage of data processing and analytics techniques specifically designed for large distributed datasets. And you'll be amazed how easy it is to learn such a challenging topic from this friendly guide! Complex concepts are illustrated with interesting, entertaining graphics and fascinating industry stories that show how these techniques have succeeded in the real world. You'll study examples including Google BigTable, BitCoin, and a smart bed sensor app, learning to build data sketches for processing, querying and exploring large datasets. By the time you're done, you'll be able to identify the perfect algorithm to deliver faster and more reliable results for any data intensive system.

Название: Data-Oriented Programming: Unlearning objects (MEAP Version 14)
Автор: Yehonathan Sharvit
Издательство: Manning Publications
Год: 2022
Формат: True PDF
Страниц: 447
Размер: 10 Mb
Язык: English

Eliminate the unavoidable complexity of object-oriented designs. Using the persistent data structures built into most modern programming languages, Data-oriented programming cleanly separates code and data, which simplifies state management and eases concurrency.

Название: Java Persistence with Spring Data and Hibernate (MEAP Version 4)
Автор: Catalin Tudose
Издательство: Manning Publications
Год: 2022
Формат:
Страниц: 358
Размер: 17 Mb
Язык: English

Java Persistence with Spring Data and Hibernate explores persistence with the most popular available tools. You’ll benefit from detailed coverage of Spring Data JPA, Spring Data JDBC, Spring Data REST, JPA, and Hibernate, comparing and contrasting the alternatives so you can pick what’s best for your code.