Название: Deep Learning-Based Approaches for Sentiment Analysis
Автор: Basant Agarwal, Richi Nayak
Издательство: Springer
Серия: Algorithms for Intelligent Systems
Год: 2020
Страниц: 326
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

This book covers deep-learning-based approaches for sentiment analysis, a relatively new, but fast-growing research area, which has significantly changed in the past few years. The book presents a collection of state-of-the-art approaches, focusing on the best-performing, cutting-edge solutions for the most common and difficult challenges faced in sentiment analysis research. Providing detailed explanations of the methodologies, the book is a valuable resource for researchers as well as newcomers to the field.

Название: A Beginner’s Guide to Image Shape Feature Extraction Techniques
Автор: Jyotismita Chaki, Nilanjan Dey
Издательство: CRC Press
Год: 2019
Формат: PDF
Страниц: 147
Размер: 11 Mb
Язык: English

This book emphasizes various image shape feature extraction methods which are necessary for image shape recognition and classification. Focussing on a shape feature extraction technique used in content-based image retrieval (CBIR), it explains different applications of image shape features in the field of content-based image retrieval. Showcasing useful applications and illustrating examples in many interdisciplinary fields, the present book is aimed at researchers and graduate students in electrical engineering, data science, computer science, medicine, and machine learning including medical physics and information technology.

Название: Smart Card Security: Applications, Attacks, and Countermeasures (Security, Privacy, and Trust in Mobile Communications)
Автор: B.B. Gupta, Megha Quamara
Издательство: CRC Press
Год: 2019
Формат: True PDF/fb2
Страниц: 138
Размер: 15.4 Mb
Язык: English

Smart Card Security: Applications, Attacks, and Countermeasures provides an overview of smart card technology and explores different security attacks and countermeasures associated with it. It covers the origin of smart cards, types of smart cards, and how they work. It discusses security attacks associated with hardware, software, data, and users that are a part of smart card–based systems.

Название: Введение в разработку мультимедийных приложений с использованием библиотек OpenCV и IPP
Автор: Бовырин А.В., Дружков П.Н., Ерухимов В.Л., Золотых Н.Ю.
Издательство: ИНТУИТ
Год: 2016
Формат: djvu + code
Страниц: 515
Размер: 27 Мб
Язык: русский

Курс предусматривает ознакомление с основными задачами, моделями и методами создания мультимедийных приложений с акцентом на задачи компьютерного зрения и машинного обучения с использованием библиотек OpenCV и IPP. Лекционная часть курса расширяет кругозор слушателей в части алгоритмов решения ряда ключевых задач предметной области.

Название: Learn Windows PowerShell in a Month of Lunches, 3rd Edition
Автор: Donald W. Jones, Jeffrey Hicks
Издательство: Manning Publications
Год: 2017
Страниц: 384
Формат: PDF
Размер: 33 Mb
Язык: English

Learn Windows PowerShell in a Month of Lunches, Third Edition is an innovative tutorial designed for busy IT professionals. This updated edition covers PowerShell features that run on Windows 7, Windows Server 2008 R2 and later, PowerShell v3 and later, and includes v5 features like PowerShellGet.

Название: hapi.js in Action
Автор: Matt Harrison
Издательство: Manning Publications
Год: 2017
Страниц: 384
Формат: PDF
Размер: 16 Mb
Язык: English

Hapi.js in Action teaches you how to build modern Node-driven applications using hapi.js. Packed with examples, this book takes you from your first simple server through the skills you'll need to build a complete application. Foreword by Eran Hammer.

Название: Python Data Science: Learn the Ethics of Coding in a Day by Taking My Classes
Автор: Tim Wired
Издательство: Amazon.com Services LLC
Год: 2019
Страниц: 146
Язык: английский
Формат: pdf
Размер: 10.1 MB

Would you like to expand your knowledge about computer science, understand how systems work, and go a little deeper into technology?Have you ever wondered how understanding Python programming language and data science can help your current or future business? Or maybe you are a person who doesn’t know anything about computer programming and data science but wants to learn? If your answer is “Yes” to at least one of these questions, then keep reading... “Python Data Science - Learn the Ethics of Coding in a Day by Taking My Classes” – a complete guide of Python Data Science for every person who is looking to expand his current or future business, learn the basics of data Science and how Python programming can be used for it.

Название: Augmented Reality Games I: Understanding the Pokemon GO Phenomenon, 1st Edition
Автор: Vladimir Geroimenko
Издательство: Springer
Год: 2019
Страниц: 260
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

This is the first of two comprehensive volumes that provide a thorough and multi-faceted research into the emerging field of augmented reality games and consider a wide range of its major issues. These first ever research monographs on augmented reality games have been written by a team of 70 leading researchers, practitioners and artists from 20 countries.

Название: Guide to Deep Learning Basics: Logical, Historical and Philosophical Perspectives
Автор: Sandro Skansi
Издательство: Springer
Год: 2020
Страниц: 144
Язык: английский
Формат: pdf (true), djvu
Размер: 10.1 MB

This stimulating text/reference presents a philosophical exploration of the conceptual foundations of deep learning, presenting enlightening perspectives that encompass such diverse disciplines as computer science, mathematics, logic, psychology, and cognitive science. The text also highlights select topics from the fascinating history of this exciting field, including the pioneering work of Rudolf Carnap, Warren McCulloch, Walter Pitts, Bulcsú László, and Geoffrey Hinton.

Название: Deep Learning in Mining of Visual Content
Автор: Akka Zemmari, Jenny Benois-Pineau
Издательство: Springer
Год: 2020
Страниц: 117
Язык: английский
Формат: pdf (true), djvu
Размер: 10.1 MB

This book provides the reader with the fundamental knowledge in the area of Deep Learning (DL) with application to visual content mining. The authors give a fresh view on Deep Learning approaches both from the point of view of image understanding and supervised Machine Learning (ML). It contains chapters which introduce theoretical and mathematical foundations of neural networks and related optimization methods. Then it discusses some particular very popular architectures used in the domain: convolutional neural networks and recurrent neural networks.