Название: Язык программирования Си для персонального компьютера
Автор: С.О. Бочков, Д.М. Субботин
Издательство: СП "Диалог", Радио и связь
Год: 1990
Формат: pdf
Страниц: 88
Размер: 55,2 Mb
Язык: Русский

Книга содержит полное описание наиболее распространенных реализаций языка программирования Си на 16-разрядных микроЭВМ, совместимых с IBM PC. Приведено описание стандартных библиотек языка.
Для слушателей учебных курсов в области программирования, разработчиков программного обеспечения, а также студентов соответствующих специальностей вузов. Может быть использовано как техническая документация и справочное пособие для широкого круга программистов, как профессионалов, имеющих большой опыт работы на языке Си, так и начинающих программировать на Си.

Название: Predictive Analytics: Parametric Models for Regression and Classification Using R
Автор: Ajit C. Tamhane
Издательство: Wiley
Год: 2020
Формат: PDF
Страниц: 384
Размер: 10 Mb
Язык: English

Provides a foundation in classical parametric methods of regression and classification essential for pursuing advanced topics in predictive analytics and statistical learning
This book covers a broad range of topics in parametric regression and classification including multiple regression, logistic regression (binary and multinomial), discriminant analysis, Bayesian classification, generalized linear models and Cox regression for survival data. The book also gives brief introductions to some modern computer-intensive methods such as classification and regression trees (CART), neural networks and support vector machines.

Название: RxSwift. Reactive Programming with Swift (4th Edition)
Автор: Florent Pillet, Junior Bontognali, Marin Todorov и др.
Издательство: Razeware LLC
Год: 2020
Страниц: 472
Язык: английский
Формат: pdf (true)
Размер: 28.5 MB

Leverage the power of RxSwift in your reactive apps! In this RxSwift book, you'll learn how to integrate RxSwift into real-world iOS apps. This book is for iOS developers who already feel comfortable with iOS and Swift, and want to dive deep into development with RxSwift. Start with an introduction to the reactive programming paradigm; learn about observers and observables, filtering and transforming operators, and how to work with the UI, and finish off by building a fully-featured app in RxSwift.

Название: Advances in Edge Computing: Massive Parallel Processing and Applications (Volume 35 of Advances in Parallel Computing)
Автор: Xhafa, F., Sangaiah, A.K.
Издательство: IOS Press
Год: 2020
Формат: True PDF
Страниц: 326
Размер: 16.9 Mb
Язык: English

The rapid advance of Internet of Things (IoT) technologies has resulted in the number of IoT-connected devices growing exponentially, with billions of connected devices worldwide. While this development brings with it great opportunities for many fields of science, engineering, business and everyday life, it also presents challenges such as an architectural bottleneck – with a very large number of IoT devices connected to a rather small number of servers in Cloud data centers – and the problem of data deluge.

Название: Fundamentals of Software Engineering: Designed to provide an insight into the software engineering concepts
Автор: Hitesh Mohapatra, Amiya Kumar Rath
Издательство: BPB Publications
Год: 2020
Формат: pdf(conv.)
Страниц: 505
Размер: 10 Mb
Язык: English

This book teaches the essentials of software engineering to anyone who wants to become an active and independent software engineer expert. It covers all the software engineering fundamentals without forgetting a few vital advanced topics such as software engineering with artificial intelligence, ontology, and data mining in software engineering.

Название: Fundamentals of Deep Learning and Computer Vision: A Complete Guide to become an Expert in Deep Learning and Computer Vision
Автор: Nikhil Singh, Paras Ahuja
Издательство: BPB Publications
Год: 2020
Страниц: 144
Язык: английский
Формат: pdf
Размер: 10.1 MB

Master Computer Vision concepts using Deep Learning with easy-to-follow steps. This book starts with setting up a Python virtual environment with the deep learning framework TensorFlow and then introduces the fundamental concepts of TensorFlow. Before moving on to Computer Vision, you will learn about neural networks and related aspects such as loss functions, gradient descent optimization, activation functions and how backpropagation works for training multi-layer perceptrons. To understand how the Convolutional Neural Network (CNN) is used for computer vision problems, you need to learn about the basic convolution operation. This book assumes a basic Python understanding with hands-on experience. A basic senior secondary level understanding of Mathematics will help the reader to make the best out of this book.

Название: Data Science with Jupyter: Master Data Science skills with easy-to-follow Python examples
Автор: Prateek Gupta
Издательство: BPB Publications
Год: 2019
Страниц: 397
Язык: английский
Формат: pdf
Размер: 26.6 MB

Step-by-step guide to practising data science techniques with Jupyter notebooks. Modern businesses are awash with data, making data driven decision-making tasks increasingly complex. As a result, relevant technical expertise and analytical skills are required to do such tasks. This book aims to equip you with just enough knowledge of Python in conjunction with skills to use powerful tool such as Jupyter Notebook in order to succeed in the role of a data scientist.

Название: Financial Software Engineering
Автор: Kevin Lano, Howard Haughton
Издательство: Springer
Год: 2019
Формат: PDF
Страниц: 202
Размер: 10.35 МБ
Язык: English

In this textbook the authors introduce the important concepts of the financial software domain, and motivate the use of an agile software engineering approach for the development of financial software. They describe the role of software in defining financial models and in computing results from these models. Practical examples from bond pricing, yield curve estimation, share price analysis and valuation of derivative securities are given to illustrate the process of financial software engineering.

Название: Machine Learning with Python: A Practical Beginners’ Guide
Автор: Oliver Theobald
Издательство: Scatterplot Press
Серия: Machine Learning From Scratch
Год: 2019
Страниц: 152
Язык: английский
Формат: pdf, azw3, epub
Размер: 10.1 MB

As the second title in the Machine Learning for Beginners series, this book teaches beginners to code basic machine learning models using Python. The book is designed for beginners with basic background knowledge of machine learning, including common algorithms such as logistic regression and decision trees. If this doesn’t describe your experience or if you need a refresher, key concepts from machine learning in the opening chapter and there are overviews of specific algorithms dispersed throughout this book. For a gentle and more detailed explanation of machine learning theory minus the code, I suggest reading the first book in this series Machine Learning for Absolute Beginners (Second Edition), which is written for a more general audience.

Название: Программирование
Автор: Иванова Г.
Издательство: Кнорус
Год: 2013
Страниц: 432
Формат: pdf
Размер: 16,3 мб
Качество: хорошее
Язык: русский

Изложены основные теоретические положения разработки программного обеспечения с использованием структурного и объектного подходов. Рассмотрены основные приемы решения задач различных классов, в том числе приемы создания и обработки динамических структур данных, без которых невозможно современное программирование. Отдельное внимание уделено оценке точности получаемых результатов и анализу вычислительной сложности алгоритмов и методов. Речь и идет о Delphi Pascal.