Название: Компьютерное моделирование логических процессов. Архитектура и языки решателя задач
Автор: Подколзин А.С.
Издательство: М.: Физматлит
Год: 2008
ISBN: 978-5-9221-1045-7
Формат: pdf
Страниц: 1026
Размер: 80,2 Мб
Язык: Русский

В книге представлено описание разработанного автором пакета прикладных программ «Логическая система "Искра"», обобщающего многолетний опыт компьютерного моделирования логических процессов, в результате которого возникла развитая технология обучения «решателя».

Название: Coding For Beginners: A Simplified Guide For Beginners To Learn Self-Taught Coding Step By Step. Become An Expert Coder In The Shortest Time Possible
Автор: Eugene Gates
Издательство: Amazon
Год: 2020
Формат: epub/pdf(conv.)
Страниц: 119
Размер: 2.6 Mb
Язык: English

This book includes topics аbout:
Getting Started with Coding
Functions
Strings
Loops
Object-Oriented Programming

Название: Серия "Expert's Voice" (34 книги)
Автор: Коллектив
Издательство: Вильямс
Год: 2006-2015
Формат: pdf, djvu, fb2
Страниц: 15000+
Размер: 1,71 Gb
Язык: Русский

Серия включает книги о проектировании, конструировании, тестировании, отладке самых разнообразных программных продуктов.

Название: Bug Bounty Automation With Python: The secrets of bug hunting
Автор: Syed Abuthahir
Издательство: Amazon
Год: 2020
Формат: epub/pdf(conv.)
Страниц: 79
Размер: 1.6 Mb
Язык: English

This book demonstrates the hands-on automation using python for each topic mentioned in the table of contents. This book gives you a basic idea of how to automate something to reduce the repetitive tasks and perform automated ways of OSINT and Reconnaissance.This book also gives you the overview of the python programming in the python crash course section, And explains how author made more than $25000 in bug bounty using automation. This book is the first part of bug bounty automation series.

Название: Excited About Coding! - An Introduction To Coding Using Scratch 2 Software On The Raspberry Pi 4 Computer
Автор: Grant Williams
Издательство: Grant Williams
Год: 2020
Формат: epub/pdf(conv.)
Страниц: 202
Размер: 33.8 Mb
Язык: English

Learn to code on a child-friendly (no Internet), low-cost Raspberry Pi 4 computer (released June 2019) with MIT's Scratch software (designed for kids)!
"EXCITED ABOUT CODING!" is a great starter book for children (ages 9 and up), teenagers, and adults who want to get a quick and fun introduction to the world of coding (also called computer programming). Using the wildly popular Scratch software and the tiny Raspberry Pi computer (over 25 million sold), the student is guided through computer setup with detailed illustrated Step-By-Step instructions, and quickly engaged in creating computer games that teach the basics of software design and coding.

Название: Object-Oriented Software Construction
Автор: Bertrand Meyer
Издательство: Prentice Hall
Год: 2000
Формат: pdf
Страниц: 1370
Размер: 15 Мб
Язык: English

This is, quite simply, the definitive reference on the most important development in software technology for the last 20 years: object-orientation.

A whole generation was introduced to object technology through the first edition of this book. This long-awaited new edition retains the qualities of clarity, practicality and scholarship that made the first an instant bestseller, but has been thoroughly revised and expanded.

Название: Artificial Intelligence and Evolutionary Algorithms in Engineering Systems (ICAEES 2014, Volume 1)
Автор: Subhransu Dash, Bijaya Panigrahi, L. Suresh
Издательство: Springer
Год: 2015
Формат: pdf
Страниц: 862
Размер: 20 Мб
Язык: English

The book is a collection of high-quality peer-reviewed research papers presented in Proceedings of International Conference on Artificial Intelligence and Evolutionary Algorithms in Engineering Systems (ICAEES 2014) held at Noorul Islam Centre for Higher Education, Kumaracoil, India. These research papers provide the latest developments in the broad area of use of artificial intelligence and evolutionary algorithms in engineering systems.

Название: Data Classification. Algorithms and Applications
Автор: Charu Aggarwal
Издательство: Chapman and Hall
Год: 2014
Формат: pdf
Страниц: 705
Размер: 10 Мб
Язык: English

Comprehensive Coverage of the Entire Area of Classification Research on the problem of classification tends to be fragmented across such areas as pattern recognition, database, data mining, and machine learning. Addressing the work of these different communities in a unified way, Data Classification: Algorithms and Applications explores the underlying algorithms of classification as well as applications of classification in a variety of problem domains, including text, multimedia, social network, and biological data.

Название: The New Turing Omnibus. 66 Excursions In Computer Science
Автор: A. Dewdney
Издательство: W. H. Freeman
Год: 1993
Формат: pdf
Страниц: 480
Размер: 58 Мб
Язык: English

No other volume provides as broad, as thorough, or as accessible an introduction to the realm of computers as A. K. Dewdney'sThe Turing Omnibus. Updated and expanded,The Turing Omnibusoffers 66 concise, brilliantly written articles on the major points of interest in computer science theory, technology, and applications. New for this tour: updated information on algorithms, detecting primes, noncomputable functions, and self-replicating computers--plus completely new sections on the Mandelbrot set, genetic algorithms, the Newton-Raphson Method, neural networks that learn, and computer viruses.

Название: Domain Adaptation in Computer Vision with Deep Learning
Автор: Editors: Venkateswara, Hemanth, Panchanathan, Sethuraman
Издательство: Springer
Год: 2020
Формат: true pdf/epub
Страниц: 258
Размер: 39.1 Mb
Язык: English

This book provides a survey of deep learning approaches to domain adaptation in computer vision. It gives the reader an overview of the state-of-the-art research in deep learning based domain adaptation. This book also discusses the various approaches to deep learning based domain adaptation in recent years. It outlines the importance of domain adaptation for the advancement of computer vision, consolidates the research in the area and provides the reader with promising directions for future research in domain adaptation.