Название: Graph Theory with Applications to Engineering and Computer Science
Автор: Narsingh Deo
Издательство: Dover Publications
Год: 2016
Страниц: 496
Формат: EPUB
Размер: 53 Mb
Язык: English

This outstanding introductory treatment of graph theory and its applications has had a long life in the instruction of advanced undergraduates and graduate students in all areas that require knowledge of this subject. The first nine chapters constitute an excellent overall introduction, requiring only some knowledge of set theory and matrix algebra. Topics include paths and circuits, trees and fundamental circuits, planar and dual graphs, vector and matrix representation of graphs, and related subjects.

Название: Machine Learning: The New AI
Автор: Ethem Alpaydin
Издательство: The MIT Press
Год: 2017
Страниц: 224
Формат: PDF, EPUB, MP3
Размер: 111 Mb
Язык: English

Today, machine learning underlies a range of applications we use every day, from product recommendations to voice recognition -- as well as some we don't yet use everyday, including driverless cars. It is the basis of the new approach in computing where we do not write programs but collect data; the idea is to learn the algorithms for the tasks automatically from data.

Название: C для чайников
Автор: Гукин Д.
Издательство: Вильямс
Год: 2006
Страниц: 352
ISBN: 5-8459-0810-8, 0-7645-7068-4
Формат: DJVU
Размер: 12.4 Mб
Язык: русский

В данной книге представлены все наиболее важные сведения о языке С: основные понятия и концепции, наборы символов, ключевые слова, описания и типы переменных, логические выражения, операторы, циклы, основные директивы препроцессора, методика написания (и выполнения) простейших программ.

Название: Основы программирования на языке Си++: Для студентов физико-математических факультетов педагогических институтов
Автор: Богуславский А.А., Соколов С.М.
Издательство: Коломна: КГПИ
Год: 2002
Формат: pdf
Страниц: 440
Размер: 12,4 Mb
Язык: Русский

Пособие предназначено для обучения студентов, обладающих навыками пользовательской работы на персональном компьютере, основным понятиям и методам современного практического программирования. Предметом изучения курса является объектно-ориентированное программирование на языке Си++ в среде современных 32-х разрядных операционных систем семейства Windows. Программа курса разбита на 4 части: (1) Введение в программирование на языке Си++; (2) Основы программирования трехмерной графики; (3) Объектно-ориентированное программирование на языке Си++ и (4) Программирование для Microsoft Windows с использованием Visual C++ и библиотеки классов MFC.

Название: Python Data Science Handbook: Essential Tools for Working with Data
Автор: Jake VanderPlas
Издательство: O'Reilly Media
Год: 2016
Страниц: 672
Формат: PDF, EPUB
Размер: 24 Mb
Язык: English

The Python Data Science Handbook provides a reference to the breadth of computational and statistical methods that are central to data-intensive science, research, and discovery. People with a programming background who want to use Python effectively for data science tasks will learn how to face a variety of problems: e.g., how can I read this data format into my script? How can I manipulate, transform, and clean this data? How can I visualize this type of data? How can I use this data to gain insight, answer questions, or to build statistical or machine learning models?

Автор: Stormy Attaway
Название: MATLAB: A Practical Introduction to Programming and Problem Solving, 3rd Edition
Издательство: Butterworth-Heinemann
Год: 2013
ISBN: 978-0124058767
Язык: English
Формат: pdf
Размер: 11,1 mb
Страниц: 560

MATLAB, Third Edition is the only book that gives a full introduction to programming in MATLAB combined with an explanation of the software’s powerful functions, enabling engineers to fully exploit its extensive capabilities in solving engineering problems.

Название: MACHINE LEARNING with NEURAL NETWORKS using MATLAB
Автор: J. Smith
Издательство: CreateSpace Independent Publishing
Год: 2017
Страниц: 382
Формат: PDF, EPUB
Размер: 16 Mb
Язык: English

Machine Learning is a method used to devise complex models and algorithms that lend themselves to prediction; in commercial use, this is known as predictive analytics. These analytical models allow researchers, data scientists, engineers, and analysts to produce reliable, repeatable decisions and results" and uncover "hidden insights" through learning from historical relationships and trends in the data.

Название: PREDICTIVE ANALYTICS with NEURAL NETWORKS using MATLAB
Автор: J. Smith
Издательство: CreateSpace Independent
Год: 2017
Страниц: 242
Формат: PDF, EPUB
Размер: 11 Mb
Язык: English

Predictive analytics encompasses a variety of statistical techniques from predictive modeling, machine learning, and data mining that analyze current and historical facts to make predictions about future or otherwise unknown events. In business, predictive models exploit patterns found in historical and transactional data to identify risks and opportunities. Models capture relationships among many factors to allow assessment of risk or potential associated with a particular set of conditions, guiding decision making for candidate transactions.

Название: Introduction to DevOps with Chocolate, LEGO and Scrum Game
Автор: Dana Pylayeva
Издательство: Apress
Год: 2017
Формат: PDF, EPUB
Размер: 12,5 Мб
Язык: английский / English

Discover a role-based simulation game, designed to introduce DevOps in a very unusual way. Working with LEGO and chocolate, using avatars, personas, and role cards, you will gain an understanding of the Dev and Ops roles as well as their interdependencies. Throughout the game, players go through a range of emotions and learn to expand the boundaries of individual roles, acquire T-shaped skills, and grow the Scrum-team circle to include Operations.

Название: Pro Python Best Practices: Debugging, Testing and Maintenance
Автор: Kristian Rother
Издательство: Apress
Год: 2017
Страниц: 264
Формат: PDF
Размер: 10 Mb
Язык: English

Learn software engineering and coding best practices to write Python code right and error free. In this book you’ll see how to properly debug, organize, test, and maintain your code, all of which leads to better, more efficient coding.
Software engineering is difficult. Programs of any substantial length are inherently prone to errors of all kinds. The development cycle is full of traps unknown to the apprentice developer. Yet, in Python textbooks little attention is paid to this aspect of getting your code to run. At most, there is a chapter on debugging or unit testing in your average basic Python book. However, the proportion of time spent on getting your code to run is much higher in the real world. Pro Python Best Practices aims to solve this problem.