Название: Language Processing with Perl and Prolog
Автор: Pierre M. Nugues
Издательство: Springer
Год: 2014
Формат: AZW3, EPUB
Размер: 10 Мб
Язык: английский / English

The areas of natural language processing and computational linguistics have continued to grow in recent years, driven by the demand to automatically process text and spoken data. With the processing power and techniques now available, research is scaling up from lab prototypes to real-world, proven applications. This book teaches the principles of natural language processing, first covering practical linguistics issues such as encoding and annotation schemes, defining words, tokens and parts of speech and morphology, as well as key concepts in machine learning, such as entropy, regression and classification, which are used throughout the book.

Автор: Тонхоноева А. А.
Название: Основы программирования на языке C++
Издательство:Улан-Удэ. Бурятского госуниверситета
Год: 2015
Страниц: 122
Формат: PDF
Размер: 10 МБ

В пособии изложены теоретические основы программирования на языке C++ и представлены задачи для самостоятельной работы студентов. Сборник составлен с учетом опыта проведения лекционных, практических и лабораторных занятий по программированию для студентов направления обучения 09.03.02 Информационные системы и технологии. Сборник предназначен для студентов младших курсов, специализирующихся в области информационных технологий, и преподавателей, ведущих практические занятия по программированию.

Название: Natural Language Processing Recipes: Unlocking Text Data with Machine Learning and Deep Learning using Python
Автор: Akshay Kulkarni, Adarsha Shivananda
Издательство: Apress
Год: 2019
Язык: английский
Формат: pdf (true), djvu
Размер: 10.1 MB

Implement natural language processing applications with Python using a problem-solution approach. This book has numerous coding exercises that will help you to quickly deploy natural language processing techniques, such as text classification, parts of speech identification, topic modeling, text summarization, text generation, entity extraction, and sentiment analysis. Natural Language Processing Recipes starts by offering solutions for cleaning and preprocessing text data and ways to analyze it with advanced algorithms. You’ll see practical applications of the semantic as well as syntactic analysis of text, as well as complex natural language processing approaches that involve text normalization, advanced preprocessing, POS tagging, and sentiment analysis. You will also learn various applications of machine learning and deep learning in natural language processing.

Название: Coding: The Bible: 2 Manuscripts - Python and Raspberry PI
Автор: Larry Lutz, Richard Ray
Издательство: Amazon Digital Services LLC
Год: 2018
Язык: английский
Формат: epub, azw3
Размер: 10.19 MB

Do You Want to Become An Expert Of PYTHON AND RASPBERRY PI 3 ?? Get this Book and Follow My Step by Step Explanations!
PYTHON
Python language is widely used all over the globe. Its popularity is because of its characteristics and many advantages attached to it. Some of the major advantages are as follows:
Easy-to-Learn, Read and Maintain; A handful of Standard Libraries; Easy development and Test; Extendable to Low-Level languages

Название: Web Hacking 101: How to Make Money Hacking Ethically
Автор: Peter Yaworski
Издательство: Leanpub
Год: 2018
Страниц: 243
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

With a Foreword written by HackerOne Co-Founders Michiel Prins and Jobert Abma, Web Hacking 101 is about the ethical exploration of software for security issues but learning to hack isn't always easy. With few exceptions, existing books are overly technical, only dedicate a single chapter to website vulnerabilies or don't include any real world examples. This book is different.

Название: Statistical Reinforcement Learning: Modern Machine Learning Approaches
Автор: Masashi Sugiyama
Издательство: Chapman and Hall/CRC
Серия: Chapman & Hall/Crc Machine Learning & Pattern Recognition
Год: 2015
Язык: английский
Формат: pdf (true)
Размер: 10.16 MB

Reinforcement learning is a mathematical framework for developing computer agents that can learn an optimal behavior by relating generic reward signals with its past actions. With numerous successful applications in business intelligence, plant control, and gaming, the RL framework is ideal for decision making in unknown environments with large amounts of data. Supplying an up-to-date and accessible introduction to the field, Statistical Reinforcement Learning: Modern Machine Learning Approaches presents fundamental concepts and practical algorithms of statistical reinforcement learning from the modern machine learning viewpoint. It covers various types of RL approaches, including model-based and model-free approaches, policy iteration, and policy search methods.

Название: Advances in Computers, Volume 112
Автор: Atif Memon (editor)
Издательство: Academic Press
Год: 2019
Язык: английский
Формат: True PDF
Размер: 10.6 MB

Advances in Computers, Volume 112, the latest volume in a series published since 1960, presents detailed coverage of innovations in computer hardware, software, theory, design and applications. Chapters in this updated volume include Mobile Application Quality Assurance, Advances in Combinatorial Testing, Advances in Applications of Object Constraint Language for Software Engineering, Advances in Techniques for Test Prioritization, Data Warehouse Testing, Mutation Testing Advances: An Analysis and Survey, Event-Based Concurrency: Applications, Abstractions, and Analyses, and A Taxonomy of Software Integrity Protection Techniques.

Название: Essential Discrete Mathematics for Computer Science
Автор: Harry Lewis, Rachel Zax
Издательство: Princeton University Press
Год: 2019
Язык: английский
Формат: pdf (true)
Размер: 24.6 MB

A more intuitive approach to the mathematical foundation of computer science.
Discrete mathematics is the basis of much of computer science, from algorithms and automata theory to combinatorics and graph theory. This textbook covers the discrete mathematics that every computer science student needs to learn. Guiding students quickly through thirty-one short chapters that discuss one major topic each, this flexible book can be tailored to fit the syllabi for a variety of courses. Proven in the classroom, aims to teach mathematical reasoning as well as concepts and skills by stressing the art of proof. It is fully illustrated in color, and each chapter includes a concise summary as well as a set of exercises. The text requires only precalculus, and where calculus is needed, a quick summary of the basic facts is provided.

Название: Articulated Motion and Deformable Objects
Автор: Francisco Jos? Perales and Josef Kittler
Издательство: Springer
Год: 2016
Формат: PDF
Размер: 42 Мб
Язык: английский / English

This book constitutes the refereed proceedings of the 9th International Conference on Articulated Motion and Deformable Objects, AMDO 2016, held in Palma de Mallorca, Spain, in July 2016. The 20 papers presented were carefully reviewed and selected from 34 submissions. The conference dealt with the following topics: advanced computer graphics and immersive videogames; human modeling and animation; human motion analysis and tracking; 3D human reconstruction and recognition; multimodal user interaction and applications; ubiquitous and social computing; design tools; input technology; programming user interfaces; 3D medical deformable models and visualization; deep learning methods for computer vision and graphics; multibiometric.

Название: Design and Construction of an RFID-enabled Infrastructure
Автор: Nagabhushana Prabhu
Издательство: CRC Press
Год: 2013
Формат: PDF
Размер: 16 Мб
Язык: английский / English

Internet 2.0 (previously called the Internet of Things) presents a tantalizing vision of bridging the cyber and physical worlds to forge a seamless planet-wide infrastructure in which cyber resources and physical objects can interact without human intervention. The technology needed to build the infrastructure already exists. However, more than a decade after the vision of Internet 2.0 was articulated, it remains largely unrealized except in isolated settings.