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 Название: Numerical Analysis: Mathematics of Scientific Computing
Автор: David Kincaid and Ward Cheney
Издательство: American Mathematical Society
Год: 2002
Формат: PDF
Размер: 163 Мб
Язык: английский / English
This book introduces students with diverse backgrounds to various types of mathematical analysis that are commonly needed in scientific computing. The subject of numerical analysis is treated from a mathematical point of view, offering a complete analysis of methods for scientific computing with appropriate motivations and careful proofs. In an engaging and informal style, the authors demonstrate that many computational procedures and intriguing questions of computer science arise from theorems and proofs. | |
Разместил: black 14-08-2021, 16:21 | Комментарии: 0 | Подробнее
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 Название: Чистый код. Создание, анализ и рефакторинг
Автор: Мартин Р.
Издательство: Питер
Год: 2010
Cтраниц: 464
Формат: pdf
Размер: 30 мб
Язык: русский
Эта книга посвящена хорошему программированию. Она полна реальных примеров кода. Мы будем рассматривать код с различных направлений: сверху вниз, снизу вверх и даже изнутри. Прочитав книгу, вы узнаете много нового о коде. Более того, вы научитесь отличать хороший код от плохого. Вы узнаете, как писать хороший код и как преобразовать плохой код в хороший. Книга состоит из трех частей. | |
Разместил: rivasss 14-08-2021, 11:14 | Комментарии: 0 | Подробнее
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 Название: Practical Weak Supervision (Early Release)
Автор: Wee Hyong Tok, Amit Bahree, Senja Filipi
Издательство: O’Reilly Media
Год: 2021-08-13: Fifth Release
Формат: ePUB
Страниц: 200
Размер: 20 Mb
Язык: English
Most data scientists and engineers today rely on quality labeled data to train their machine learning models. But building training sets manually is time-consuming and expensive, leaving many companies with unfinished ML projects. There's a more practical approach. In this book, Amit Bahree, Senja Filipi, and Wee Hyong Tok from Microsoft show you how to create products using weakly supervised learning models.
You'll learn how to build natural language processing and computer vision projects using weakly labeled datasets from Snorkel, a spin-off from the Stanford AI Lab. Because so many companies pursue ML projects that never go beyond their labs, this book also provides a guide on how to ship the deep learning models you build. | |
Разместил: vitvikvas 13-08-2021, 18:55 | Комментарии: 0 | Подробнее
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 Название: Multithreaded jаvascript (Early Release)
Автор: Thomas Hunter II and Bryan English
Издательство: O’Reilly Media
Год: 2021-08-13: Fourth Release
Формат: EPUB
Страниц: 200
Размер: 10 Mb
Язык: English
Traditionally, jаvascript has been a single-threaded language. Nearly all online forum posts, books, online documentation, and libraries refer to the language as single threaded. Thanks to recent advancements in the language--such as the Atomics and SharedArrayBuffers objects and Web Workers in the browser--jаvascript is now a multi-threaded language. These features will go down as being the biggest paradigm shift for the world's most popular programming language.
Multithreaded jаvascript explores the various features that jаvascript runtimes have at their disposal for implementing multithreaded programming, providing both practical real-world examples, as well as reference material. | |
Разместил: vitvikvas 13-08-2021, 18:31 | Комментарии: 0 | Подробнее
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 Название: Beginning Azure Cognitive Services: Data-Driven Decision Making Through Artificial Intelligence
Автор: Alicia Moniz, Matt Gordon
Издательство: Apress
Год: 2021
Страниц: 322
Язык: английский
Формат: pdf (true), epub
Размер: 39.9 MB
Get started with Azure Cognitive Services and its APIs that expose machine learning as a service. This book introduces the suite of Azure Cognitive Services and helps you take advantage of the proven machine learning algorithms that have been developed by experts and made available through Cognitive Services, easily integrating those algorithms into your own applications without having to develop the algorithms from scratch. The book also shows you how to use the algorithms provided by Cognitive Services to accelerate data analysis and development within your organization. | |
Разместил: Ingvar16 13-08-2021, 14:50 | Комментарии: 0 | Подробнее
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 Название: Artificial Intelligence and Data Mining Approaches in Security Frameworks
Автор: Neeraj Bhargava, Ritu Bhargava
Издательство: Wiley-Scrivener
Год: 2021
Страниц: 320
Язык: английский
Формат: pdf (true)
Размер: 20.6 MB
Artificial intelligence (AI) and data mining is the fastest growing field in computer science. AI and data mining algorithms and techniques are found to be useful in different areas like pattern recognition, automatic threat detection, automatic problem solving, visual recognition, fraud detection, detecting developmental delay in children, and many other applications. However, applying AI and data mining techniques or algorithms successfully in these areas needs a concerted effort, fostering integrative research between experts ranging from diverse disciplines from data science to Artificial Intelligence. Successful application of security frameworks to enable meaningful, cost effective, personalize security service is a primary aim of engineers and researchers today. However realizing this goal requires effective understanding, application and amalgamation of AI and Data Mining and several other computing technologies. | |
Разместил: Ingvar16 13-08-2021, 13:30 | Комментарии: 0 | Подробнее
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 Название: Язык Паскаль в иллюстрациях
Автор: Алкок Д.
Издательство: Мир
Год: 1991
Формат: pdf
Страниц: 194
Размер: 21,52 Мб
Язык: русский
Книга английского специалиста, в которой в наглядной и оригинальной форме представлен стандарт языка Паскаль, имеющего реализации практически на всех современных ЭВМ. Изложение рассчитано на изучение языка. Для программистов разной квалификации. | |
Разместил: 366887 12-08-2021, 20:34 | Комментарии: 0 | Подробнее
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 Название: Artificial Intelligence and Digital Systems Engineering
Автор: Adedeji B. Badiru
Издательство: CRC Press
Год: 2022
Страниц: 128
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB
The resurgence of Artificial Intelligence has been fueled by the availability of the present generation of high-performance computational tools and techniques. This book is designed to provide introductory guidance to Artificial Intelligence (AI), particularly from the perspective of digital systems engineering. Artificial Intelligence and Digital Systems Engineering provides a general introduction to the origin of AI and covers the wide application areas and software and hardware interfaces. It will prove to be instrumental in helping new users expand their knowledge horizon to the growing market of AI tools, as well as showing how AI is applicable to the development of games, simulation, and consumer products, particularly using artificial neural networks (ANN). | |
Разместил: Ingvar16 12-08-2021, 20:33 | Комментарии: 0 | Подробнее
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 Название: Deep Learning in Data Analytics: Recent Techniques, Practices and Applications
Автор: Debi Prasanna Acharjya, Anirban Mitra, Noor Zaman
Издательство: Springer
Год: 2022
Формат: PDF
Страниц: 271
Размер: 10 Mb
Язык: English
This book comprises theoretical foundations to deep learning, machine learning and computing system, deep learning algorithms, and various deep learning applications. The book discusses significant issues relating to deep learning in data analytics. Further in-depth reading can be done from the detailed bibliography presented at the end of each chapter. Besides, this book's material includes concepts, algorithms, figures, graphs, and tables in guiding researchers through deep learning in data science and its applications for society. | |
Разместил: vitvikvas 12-08-2021, 18:31 | Комментарии: 0 | Подробнее
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 Название: Think Bayes: Bayesian Statistics in Python, 2nd Edition
Автор: Allen B. Downey
Издательство: O’Reilly Media
Год: 2021
Страниц: 338
Язык: английский
Формат: pdf (true), epub
Размер: 18.5 MB, 10.1 MB
If you know how to program, you're ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical formulas, using discrete probability distributions rather than continuous mathematics. Once you get the math out of the way, the Bayesian fundamentals will become clearer and you'll begin to apply these techniques to real-world problems. Bayesian statistical methods are becoming more common and more important, but there aren't many resources available to help beginners. Based on undergraduate classes taught by author Allen B. Downey, this book's computational approach helps you get a solid start. | |
Разместил: Ingvar16 12-08-2021, 13:03 | Комментарии: 0 | Подробнее
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