LitMy.ru - литература в один клик

  • Добавил: literator
  • Дата: 21-01-2022, 20:57
  • Комментариев: 0
Learn to Code with Scratch: Let Your Kids' Creative Ideas Come to Life by Coding Them into ProgramsНазвание: Learn to Code with Scratch: Let Your Kids' Creative Ideas Come to Life by Coding Them into Programs
Автор: Muskan Arora
Издательство: BPB Publications
Год: 2022
Страниц: 207
Язык: английский
Формат: pdf, epub
Размер: 16.3 MB

Enjoy making games and apps through coding and boost your computational thinking. 'Learn to Code with Scratch' prepares your child to begin building cool apps, games, animated stories, quizzes, and a variety of other enjoyable applications. This book teaches your child what a programme is and how it works using Scratch, a comprehensive visual programming language. This book teaches your child how to connect various code blocks and establish the program's logic by using seven distinct games and applications, including a haunted party, a talking robot, a mystical story, and a humorous quiz game. You will learn how to write and create a programme in Scratch and how to run your programme and save and share it with your loved ones.
  • Добавил: literator
  • Дата: 21-01-2022, 20:18
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Advances in Augmented Reality and Virtual RealityНазвание: Advances in Augmented Reality and Virtual Reality
Автор: Jitendra Kumar Verma, Sudip Paul
Издательство: Springer
Серия: Studies in Computational Intelligence
Год: 2022
Страниц: 220
Язык: английский
Формат: pdf (true), epub
Размер: 46.3 MB

This book gathers the recent advances in Augmented Reality (AR) and Virtual Reality (VR). It includes topics on classification of computer assisted environments, field-of-views on visuospatial memory in complex virtual environment, free-roam VR for gaming, simulation of physical processes in an electric circuit, motion study of mated gears, ternary reversible gates with virtual reality, inclusiveness of AR and VR for agricultural disease detection, application of AR and VR in medical and pharmaceuticals, drones for medical assistance, Machine Learning based AR technologies for human face detection, recognition, and automated vehicles for medical assistance. The book is targeted towards advancing undergraduate, graduate, and post graduate students, researchers, academicians, policymakers, various government officials, NGOs, and industry research professionals who are currently working in the field of science and technology either directly or indirectly to benefit the common masses.
  • Добавил: literator
  • Дата: 21-01-2022, 19:42
  • Комментариев: 0
Practitioner’s Guide to Data Science: Streamlining Data Science Solutions using Python, Scikit-Learn, and Azure ML Service PlatformНазвание: Practitioner’s Guide to Data Science: Streamlining Data Science Solutions using Python, Scikit-Learn, and Azure ML Service Platform
Автор: Nasir Ali Mirza
Издательство: BPB Publications
Год: 2022
Страниц: 428
Язык: английский
Формат: pdf, epub
Размер: 12.1 MB

Covers Data Science concepts, processes, and the real-world hands-on use cases. This book explains and implements the entire Data Science lifecycle using well-known data science processes like CRISP-DM and Microsoft TDSP. The book explains the significance of these processes in connection with the high failure rate of Data Science projects. The book helps build a solid foundation in Data Science concepts and related frameworks. It teaches how to implement real-world use cases using data from the HMDA dataset. It explains Azure ML Service architecture, its capabilities, and implementation to the DS team, who will then be prepared to implement MLOps. The book also explains how to use Azure DevOps to make the process repeatable while we're at it. By the end of this book, you will learn strong Python coding skills, gain a firm grasp of concepts such as feature engineering, create insightful visualizations and become acquainted with techniques for building Machine Learning models.
  • Добавил: literator
  • Дата: 21-01-2022, 19:15
  • Комментариев: 0
Learning Ray: Flexible Distributed Python for Data Science (Early Release)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.
  • Добавил: literator
  • Дата: 21-01-2022, 17:57
  • Комментариев: 0
Kubernetes: Up and Running: Dive into the Future of Infrastructure, 3rd Edition (Third Early Release)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.
  • Добавил: literator
  • Дата: 21-01-2022, 16:00
  • Комментариев: 0
iOS Test-Driven Development by Tutorials (2nd Edition)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.
  • Добавил: buratino
  • Дата: 21-01-2022, 13:58
  • Комментариев: 0
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.
  • Добавил: Maurix
  • Дата: 21-01-2022, 13:54
  • Комментариев: 0
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.
  • Добавил: buratino
  • Дата: 21-01-2022, 13:49
  • Комментариев: 0
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.
  • Добавил: Maurix
  • Дата: 21-01-2022, 12:59
  • Комментариев: 0
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.