Название: Основы линейного программирования
Автор: Банди Б.
Издательство: М.: Радио и связь
Год: 1989
ISBN: 5-256-00186-8
Формат: pdf
Страниц: 145
Размер: 16,6 Mb
Язык: Русский

В книге английского автора освещены основные положения и методы линейного программирования. Рассмотрены симплекс-метод и его реализация на ЭВМ, проблема вырожденности, анализ чувствительности и двойственный симплекс-метод, транспортная задача, задача о назначении, двойственность в линейном программировании и др.

Название: Statistical Machine Learning: A Unified Framework (Chapman & Hall/CRC Texts in Statistical Science)
Автор: Richard Golden
Издательство: Chapman and Hall/CRC
Год: 2020
Формат: True PDF
Страниц: 525
Размер: 10.8 Mb
Язык: English

The recent rapid growth in the variety and complexity of new machine learning architectures requires the development of improved methods for designing, analyzing, evaluating, and communicating machine learning technologies. Statistical Machine Learning: A Unified Framework provides students, engineers, and scientists with tools from mathematical statistics and nonlinear optimization theory to become experts in the field of machine learning. In particular, the material in this text directly supports the mathematical analysis and design of old, new, and not-yet-invented nonlinear high-dimensional machine learning algorithms.

Название: Probability and Statistics for Computer Scientists, 3rd Edition
Автор: Michael Baron
Издательство: Chapman and Hall/CRC
Год: 2019
Формат: PDF, EPUB
Страниц: 487
Размер: 52 Mb
Язык: English

Probability and Statistics for Computer Scientists, Third Edition helps students understand fundamental concepts of Probability and Statistics, general methods of stochastic modeling, simulation, queuing, and statistical data analysis; make optimal decisions under uncertainty; model and evaluate computer systems; and prepare for advanced probability-based courses. Written in a lively style with simple language and now including R as well as MATLAB, this classroom-tested book can be used for one- or two-semester courses.

Название: Разработка Web-сервисов XML и серверных компонентов на Visual Basic.NET и Visual C#.NET
Автор: Коллектив авторов
Издательство: Русская Редакция
Год выпуска: 2004
Страниц: 572
Язык: русский
Формат: pdf
Размер: 29 мб

Этот учебный курс посвящен разработке Web-сервисов XML и серверных компонентов на Microsoft Visual Basic.NET и Microsoft Visual C#.NET. Книга содержит обстоятельное введение в .NET Framework, описание создания и применения управляемых служб Windows, сервисов XML и серверных компонентов, а также работы с базами данных; значительное внимание уделяется вопросам защиты, тестирования и развертывания Web-сервисов.

Название: The Absolutely Awesome Book on C# and .NET (Covers C# v6, v7, and .NET Core)
Автор: Damir Arh
Издательство: A2Z Knowledge Visuals Pvt. Ltd
Год: 2019
Формат: True PDF
Страниц: 496
Размер: 10 Mb
Язык: English

The book assumes familiarity with basic programming concepts. Prior experience with C# and .NET framework or .NET Core is recommended. The book will be most beneficial to readers who are already confident with the basics of C# and .NET development, and would like to deepen their knowledge and understanding. The book structure also lends itself well to experienced developers who want to catch up with the latest features or refresh their knowledge about a specific feature or topic.

Название: C++20 Quick Syntax Reference: A Pocket Guide to the Language, APIs, and Library Fourth Edition
Автор: Mikael Ollson
Издательство: Apress
Год: 2020
Формат: true pdf/epub
Страниц: 209
Размер: 4.6 Mb
Язык: English

This quick C++ 20 guide is a condensed code and syntax reference to the popular programming language, fully updated for C++20. It presents the essential C++20 code syntax in a well-organized format that can be used as a handy reference.

Название: CLEAN CODE: 3 in 1- Beginner's Guide+ Tips and Tricks+ Advanced and Effective Strategies to use Clean Code Methods
Автор: Elijah Lewis
Издательство: Amazon
Год: 2020
Формат: epub/pdf(conv.)
Страниц: 346
Размер: 8.9 Mb
Язык: English

This book provides details about programming concepts, the history of programming, the importance of programming in daily life, how programming concepts are evolving in our daily life, and the best practices of using programming languages.
We also discuss the best programming languages available in the world, different components of a program, how programs are improved in their efficiency, learning programming for a bright carrier choice and the future of programming.

Название: Grokking Artificial Intelligence Algorithms (MEAP Version 5)
Автор: Rishal Hurbans
Издательство: Manning Publications Co.
Год: 2020
Формат: true pdf
Страниц: 393
Размер: 38.3 Mb
Язык: English

Grokking Artificial Intelligence Algorithms uses simple language, jargon-busting explanations, and hand-drawn diagrams to open up complex algorithms. Don’t worry if you aren’t a calculus wunderkind; you’ll need only the algebra you picked up in math class. Creative coding exercises take you hands-on with the core and most-common algorithms, as you learn to classify data with a neural network, navigate a maze with a functional decision-making algorithm, create an autonomous agent to play two-player games, and more.

Название: Tiny Python Projects: Learn coding and testing with puzzles and games
Автор: Ken Youens-Clark
Издательство: Manning Publications
Год: 2020
Формат: PDF
Страниц: 439
Размер: 15,3 Mb
Язык: English

Tiny Python Projects takes you from amateur to Pythonista as you create 22 bitesize programs. Each tiny project teaches you a new programming concept, from the basics of lists and strings right through to regular expressions and randomness.

Название: Machine Learning for Asset Management: New Developments and Financial Applications
Автор: Emmanuel Jurczenko (Editor)
Издательство: Wiley
Год: 2020
Формат: True PDF
Страниц: 455
Размер: 14 Mb
Язык: English

This groundbreaking book on Machine Learning for Asset Management represents a refreshing collaborative effort between sophisticated investment practitioners and researchers, to present practical application of machine learning methodologies. As one can see from the different chapters, machine learning can be applied to different parts of the investment process, from stock picking to tactical allocation, alpha signal enhancement or trading.