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Название: A Tour of C++, 3rd Edition
Автор: Bjarne Stroustrup
Издательство: Pearson
Год: 2022
Формат: True ePUB
Страниц: 992
Размер: 32,6 Mb
Язык: English

In A Tour of C++, Third Edition, Bjarne Stroustrup provides an overview of ISO C++, C++20, that aims to give experienced programmers a clear understanding of what constitutes modern C++. Featuring carefully crafted examples and practical help in getting started, this revised and updated edition concisely covers most major language features and the major standard-library components needed for effective use.

Название: Job Ready Go
Автор: Haythem Balti
Издательство: Wiley
Год: 2022
Страниц: 705
Язык: английский
Формат: pdf (true), epub
Размер: 10.4 MB, 14.9 MB

Tackle GoLang with practical and employment-focused instruction. In Job Ready Go, software education guru Dr. Haythem Balti delivers an essential and hands-on guide to Go, an open-source programming language developed by Google engineers to combine the most sought-after capabilities of other programming languages, including Java, C#, and C++. In the book, the author walks you through all the most critical skills necessary for successful, on-the-job Go programming.

Название: The R Book, 3rd Edition
Автор: Elinor Jones, Simon Harden, Michael J. Crawley
Издательство: Wiley
Год: 2023
Страниц: 883
Язык: английский
Формат: pdf (true)
Размер: 14.2 MB

A start-to-finish guide to one of the most useful programming languages for researchers in a variety of fields. In the newly revised Third Edition of The R Book, a team of distinguished teachers and researchers delivers a user-friendly and comprehensive discussion of foundational and advanced topics in the R software language, which is used widely in science, engineering, medicine, economics, and other fields. The book is designed to be used as both a complete text—readable from cover to cover—and as a reference manual for practitioners seeking authoritative guidance on particular topics.

Название: Getting Started with Natural Language Processing (Final Release)
Автор: Ekaterina Kochmar
Издательство: Manning Publications
Год: 2022
Страниц: 458
Язык: английский
Формат: pdf (true)
Размер: 13.5 MB

Hit the ground running with this in-depth introduction to the NLP skills and techniques that allow your computers to speak human. Getting Started with Natural Language Processing is an enjoyable and understandable guide that helps you engineer your first NLP algorithms. Your tutor is Dr. Ekaterina Kochmar, lecturer at the University of Bath, who has helped thousands of students take their first steps with NLP. Full of Python code and hands-on projects, each chapter provides a concrete example with practical techniques that you can put into practice right away. If you’re a beginner to NLP and want to upgrade your applications with functions and features like information extraction, user profiling, and automatic topic labeling, this is the book for you.

Название: Learn Android Programming: How to build seven Android apps using Kotlin
Автор: Hawke Adam
Издательство: Coders’ Guidebook
Год: 2022
Формат: PDF
Страниц: 362
Размер: 16 mb
Язык: английский

Create Android applications from seven different categories, with bonus content on releasing applications to the Google Play store.
Easy to follow instructions and full example code. No programming experience? No problem. You can create a functioning Android application today.
Modern Android programming secrets. The applications covered in this book use the most up to date Kotlin and Android programming techniques, some of which were released just weeks before publication.

Название: STEM Problems with Mathcad and Python
Автор: Valery Ochkov
Издательство: CRC Press
Год: 2022
Формат: True PDF
Страниц: 429
Размер: 12,9 Mb
Язык: English

STEM Problems with Mathcad and Python seeks to remove the fear of tackling difficult scientific and technical calculations for future mathematicians, engineers, scientists, and other STEM researchers. The authors hope to show that such calculations can be not only useful, but that the process of learning how to do them can be enjoyable, especially with the help of Mathcad and Python programming skills. The book will also illustrate how the use of modern computer software allows one to significantly expand the range of problems considered beyond those conventionally taught. This includes computational experiments, multivariate calculations, inverse problems and optimization problems, with both static and animated visual feedback.

Название: Mastering Flutter A Beginner's Guide
Автор: Sufyan bin Uzayr
Издательство: CRC Press
Год: 2022
Формат: True PDF
Страниц: 373
Размер: 10 Mb
Язык: English

Mastering Flutter helps the reader master the popular Flutter framework for rapid cross-platform app development.
Mobile applications grow in popularity every year, and developers keep looking for new tools to help them design them. A Google-backed, free and open-source mobile user interface framework, Flutter, stands out among these products.
Flutter enables developers to construct a native mobile app using just a single line of code. This implies that one could design two different applications using the same programming language and codebase (iOS and Android).

Название: Matlab: A Practical Introduction to Programming and Problem Solving, 6th edition
Автор: Stormy Attaway
Издательство: Elsevier Inc.
Год: 2023
Формат: PDF
Страниц: 592
Размер: 16,3 Mb
Язык: English

MATLAB: A Practical Introduction to Programming and Problem Solving, winner of TAA’s 2017 Textbook Excellence Award ("Texty"), guides the reader through both programming and built-in functions to easily exploit MATLAB’s extensive capabilities for tackling engineering and scientific problems. Assuming no knowledge of programming, this book starts with programming concepts, such as variables, assignments, and selection statements, moves on to loops, and then solves problems using both the programming concept and the power of MATLAB. The sixth edition has been updated to reflect the functionality of the current version of MATLAB (R2021a), including the introduction of machine learning concepts and the Machine Learning Toolbox, and new sections on data formats and data scrubbing.

Название: Информационные технологии
Автор: Гохберг Г.С., Зафиевский А.В., Короткин А.А.
Издательство: Академия
Год: 2014
Формат: pdf
ISBN: 978-5-4468-0766-6
Размер: 47 мб
Качество: хорошее
Язык: русский

Изложены основы современных информационных технологий с использованием методов искусственного интеллекта. Приводятся принципы построения и примеры интеллектуальных информационных систем, а также процесс формирования баз знаний.

Название: Object Detection by Stereo Vision Images
Автор: R. Arokia Priya, Anupama V. Patil
Издательство: Wiley-Scrivener
Год: 2022
Страниц: 283
Язык: английский
Формат: pdf (true)
Размер: 49.86 MB

Since both theoretical and practical aspects of the developments in this field of research are explored, including recent state-of-the-art technologies and research opportunities in the area of object detection, this book will act as a good reference for practitioners, students, and researchers. Current state-of-the-art technologies have opened up new opportunities in research in the areas of object detection and recognition of digital images and videos, robotics, neural networks, Machine Learning (ML), stereo vision matching algorithms, soft computing, customer prediction, social media analysis, recommendation systems, and stereo vision. This book has been designed to provide directions for those interested in researching and developing intelligent applications to detect an object and estimate depth. In addition to focusing on the performance of the system using high-performance computing techniques, a technical overview of certain tools, languages, libraries, frameworks, and APIs for developing applications is also given. Feature Extraction Using Python. The feature is expressed in such a manner that it computes some of the object’s most significant characteristics as a function of one or more measurements, each of which defines some calculated attribute of an entity. Feature is a method for transforming raw data into numerical characteristics that may be processed while maintaining the integrity of the actual data set.