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  • Добавил: buratino
  • Дата: 6-06-2020, 04:26
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Название: Statistical Rethinking: A Bayesian Course with Examples in R and STAN (Chapman & Hall/CRC Texts in Statistical Science) Second Edition
Автор: Richard McElreath
Издательство: Chapman and Hall/CRC
Год: 2020
Формат: True PDF
Страниц: 612
Размер: 22 Mb
Язык: English

Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds your knowledge of and confidence in making inferences from data. Reflecting the need for scripting in today's model-based statistics, the book pushes you to perform step-by-step calculations that are usually automated. This unique computational approach ensures that you understand enough of the details to make reasonable choices and interpretations in your own modeling work.
  • Добавил: buratino
  • Дата: 6-06-2020, 04:04
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Название: Head First Design Patterns 2nd Edition (Early Release)
Автор: Eric Freeman and Elisabeth Robson
Издательство: O’Reilly Media
Год: 2020-06-05
Формат: epub
Размер: 11.2 Mb
Язык: English

You know you don’t want to reinvent the wheel, so you look to design patterns—the lessons learned by those who’ve faced the same software design problems. With design patterns, you get to take advantage of the best practices and experience of others so that you can spend your time on something more challenging. Something more fun. This book shows you the patterns that matter, when to use them and why, how to apply them to your own designs, and the object-oriented design principles on which the patterns are based.
  • Добавил: SCART56
  • Дата: 6-06-2020, 00:01
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Название: Введение в глубокое обучение
Автор(ы): Черняк Евгений
Издательство: Диалектика
Год: 2020
Страниц: 194
Формат: PDF
Размер: 21 Мб
Язык: русский

Автор этой книги Евгений Черняк — давний исследователь искусственного интеллекта, специализирующийся на обработке естественного языка, революцию в котором сделало глубокое обучение. К сожалению, ему потребовалось много времени, чтобы это понять. Можно сказать в его оправдание, что нейронные сети угрожают революцией уже третий раз, а отнюдь не первый. Тем не менее автор внезапно оказался далеко позади и изо всех сил пытался наверстать упущенное.

  • Добавил: buratino
  • Дата: 5-06-2020, 18:48
  • Комментариев: 0
Название: Building Microservices, 2nd Edition (Early Release)
Автор: Sam Newman
Издательство: O’Reilly Media
Год: 2020-06-01
Формат: epub/pdf(conv.)
Размер: 11.8 Mb
Язык: English

Distributed systems have become more fine-grained as organizations shift from code-heavy monolithic applications to smaller, self-contained microservices. But developing these systems brings its own set of problems. With lots of examples and practical advice, this expanded second edition takes a holistic view of the topics system architects and administrators must consider when building, managing, and evolving microservices architectures.
  • Добавил: literator
  • Дата: 5-06-2020, 16:24
  • Комментариев: 0
Python Programming for Beginners: The Ultimate Beginner's Guide with a Step-by-Step Approach to Computer Science to Understand Python’s Programming and Developers’ Language SuccessfullyНазвание: Python Programming for Beginners: The Ultimate Beginner's Guide with a Step-by-Step Approach to Computer Science to Understand Python’s Programming and Developers’ Language Successfully
Автор: Anderson Coen
Издательство: Amazon.com Services LLC
Год: 2020
Страниц: 173
Язык: английский
Формат: pdf, azw3, epub
Размер: 10.4 MB

Python Programming for Beginners. When learning a new ability could be like a joke. That’s true, particularly when the subject seems so huge. You will find a lot of information accessible that you cannot even decide where to begin. Worse, you begin down the path of learning and find out a lot of nuances, commands, and concepts, which are not discussed. This type of experience is very puzzling, leaving you more concerns than solutions. Python Programming for Beginners does not make any hopes regarding your expertise or knowledge of computer programming or Python. In fact, you don’t need any prior knowledge to gain from this book. You will be efficiently guided step by step using a systematic and logical approach. As new jargon, commands, and concepts are encountered, you can rest assured that they are explained in basic and simple language.
  • Добавил: buratino
  • Дата: 5-06-2020, 16:00
  • Комментариев: 0
Название: Thinking in Pandas: How to Use the Python Data Analysis Library the Right Way
Автор: Hannah Stepanek
Издательство: Apress
Год: 2020
Формат: true pdf/epub/mobi
Страниц:
Размер: 10.3 Mb
Язык: English

Understand and implement big data analysis solutions in pandas with an emphasis on performance. This book strengthens your intuition for working with pandas, the Python data analysis library, by exploring its underlying implementation and data structures.
  • Добавил: buratino
  • Дата: 5-06-2020, 15:50
  • Комментариев: 0
JavaScript Algorithms: The Web Developer’s Guide to Data Structures and AlgorithmsНазвание: jаvascript Algorithms: The Web Developer’s Guide to Data Structures and Algorithms by Oleksii Trekhleb (+code) Pre-release revision 2
Автор: Oleksii Trekhleb and Sophia Shoemaker
Издательство: Fullstack.io
Год: 11-25-2019
Формат: true pdf/epub
Страниц: 292
Размер: 12.8 Mb
Язык: English

As a jаvascript developer you might think you don’t need to learn about data structures or algorithms.
Did you know jаvascript itself (runtime + browser) uses things like a stack, a heap and a queue? The more you understand the jаvascript you use on a daily basis – really understand it, the better you can wield it’s power and make less mistakes. If you thought algorithms and data structures were just a computer science course that wasn’t necessary on a day to day basis as jаvascript developer, think again!
Each chapter covers an algorithm you might encounter in your work or at an interview. You can work through the algorithms one at a time or feel free to jump around.
  • Добавил: buratino
  • Дата: 5-06-2020, 15:40
  • Комментариев: 0
Fullstack React with TypeScript: Learn Pro Patterns for Hooks, Testing, Redux, SSR, and GraphQLНазвание: Fullstack React with TypeScript: Learn Pro Patterns for Hooks, Testing, Redux, SSR, and GraphQL (+code)
Автор: Maksim Ivanov and Alex Bespoyasov
Издательство: Fullstack.io
Год: 05-20-2020
Формат: true pdf/epub
Страниц: 320
Размер: 28.7 Mb
Язык: English

Welcome to Fullstack React with TypeScript! React and TypeScript are a powerful combination that can prevent bugs and help you (and your team) ship products faster. But understanding idiomatic React patterns and getting the typings setup isn’t always straightforward.
  • Добавил: buratino
  • Дата: 5-06-2020, 15:30
  • Комментариев: 0
Fullstack Rust: The Complete Guide to Building Apps with the Rust Programming Language and FriendsНазвание: Fullstack Rust: The Complete Guide to Building Apps with the Rust Programming Language and Friends (+code)
Автор: Andrew Weiss
Издательство: Fullstack.io
Год: 2020
Формат: true pdf/epub
Страниц: 320
Размер: 19.6 Mb
Язык: English

Fullstack Rust: The Complete Guide to Building Apps with the Rust Programming Language and Friends
Learn to build performance-critical Rust apps
The Rust language is a way to write incredibly fast - and safe - code. It's being used to build tools at Google, Facebook, Amazon, and many other companies where performance is critical.
While there are some good resources on how to learn the Rust programming language by itself, what these other books don't teach is how to build applications with Rust.
  • Добавил: buratino
  • Дата: 5-06-2020, 14:55
  • Комментариев: 0
Название: Modern Data Mining Algorithms in C++ and CUDA C: Recent Developments in Feature Extraction and Selection Algorithms for Data Science
Автор: Timothy Masters
Издательство: Apress
Год: 2020
Формат: true pdf/epub/mobi
Страниц: 237
Размер: 10.4 Mb
Язык: English

Discover a variety of data-mining algorithms that are useful for selecting small sets of important features from among unwieldy masses of candidates, or extracting useful features from measured variables.
As a serious data miner you will often be faced with thousands of candidate features for your prediction or classification application, with most of the features being of little or no value. You’ll know that many of these features may be useful only in combination with certain other features while being practically worthless alone or in combination with most others. Some features may have enormous predictive power, but only within a small, specialized area of the feature space. The problems that plague modern data miners are endless.