Litgu.ru - Литературный Гуру

Название: Основы алгоритмизации и программирования
Автор(ы): Чурина Т.Г., Нестеренко Т.В.
Издательство: Профобразование, Ай Пи Ар Медиа
Год: 2020
Страниц: 214
Формат: PDF
Размер: 17 Мб
Язык: русский

В учебном пособии представлены абстрактные типы данных, описание алгоритмов обхода графов и деревьев в глубину и в ширину, нахождения путей в графе, различных видов циклов, определение максимального потока в графе и поиск паросочетаний. Приведены алгоритмы построения каркасов графа, алгоритмы с возвратом, рассмотрены задачи, решения которых опираются на использование этих алгоритмов.

Название: Soft Computing with NeuroFuzzy systems
Автор: Jovan Pehcevski
Издательство: Arcler Press
Год: 2021
Страниц: 337
Язык: английский
Формат: pdf (true)
Размер: 17.9 MB

This book covers different topics from soft computing and neuro-fuzzy systems, including intelligent neuro-fuzzy models, adaptive neuro-fuzzy systems, neuro-fuzzy inference systems, and neuro-fuzzy control. Section 1 focuses on intelligent neuro-fuzzy models, describing fuzzy-neuro model for intelligent credit risk management; method to improve airborne pollution forecasting by using ant colony optimization; TSK-type recurrent neuro-fuzzy systems for fault prognosis; and neuro-fuzzy model for QoS based selection of web service. Section 2 focuses on adaptive neuro-fuzzy systems, describing adaptive neuro-fuzzy logic system for heavy metal sorption in aquatic environments; automatic heart disease diagnosis system based on artificial neural network (ANN); reliability estimation of services oriented systems using adaptive neuro fuzzy inference system; and prediction of soil fractions (sand, silt and clay) in surface layer based on natural radionuclides concentration.

Название: Artificial Intelligence Hardware Design: Challenges and Solutions
Автор: Albert Chun Chen Liu and Oscar Ming Kin Law
Издательство: Wiley
Год: 2021
Формат: PDF
Страниц: 233
Размер: 17 Mb
Язык: English

Learn foundational and advanced topics in Neural Processing Unit design with real-world examples from leading voices in the field
In Artificial Intelligence Hardware Design: Challenges and Solutions, distinguished researchers and authors Drs. Albert Chun Chen Liu and Oscar Ming Kin Law deliver a rigorous and practical treatment of the design applications of specific circuits and systems for accelerating neural network processing. Beginning with a discussion and explanation of neural networks and their developmental history, the book goes on to describe parallel architectures, streaming graphs for massive parallel computation, and convolution optimization.

Название: AI for Games (AI for Everything)
Автор: Ian Millington
Издательство: CRC Press
Год: 2022
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

What is Artificial Intelligence? How is Artificial Intelligence (AI) used in game development? Game development lives in its own technical world. It has its own idioms, skills, and challenges. That’s one of the reasons games are so much fun to work on. Each game has its own rules, its own aesthetic, and its own trade-offs, and the hardware it will run on keeps changing. AI for Games is designed to help you understand one element of game development: Artificial Intelligence (AI).

Название: Параллельное программирование. Модели и приемы
Автор(ы): Федотов И.Е.
Издательство: СОЛОН-Пресс
Год: 2017
Страниц: 390
Формат: PDF
Размер: 16 Мб
Язык: русский

Книга посвящена рассмотрению некоторых высокоуровневых моделей параллель- ного и распределенного программирования. В порядке усложнения описываются несколько моделей внутренней организации параллельных программ: ярусно-параллельная форма программы, сети конечных автоматов, сети Петри, модель актеров, а также модель квантовых вычислений. Приводятся примеры программной реализации на C++ с использованием различных средств распараллеливания (OpenMP, MPI, POSIX Threads, Windows API).

Название: Continuous Architecture in Practice: Software Architecture in the Age of Agility and DevOps
Автор: Murat Erder, Pierre Pureur
Издательство: Addison-Wesley Professional
Год: 2021
Страниц: 353
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB, 11.3 MB

Revamp Your Architectural Practices for New Challenges, Environments, and Stakeholder Expectations. Authors Murat Erder, Pierre Pureur, and Eoin Woods have taken their extensive enterprise architecture experience and applied it to the practical aspects of continuous architecture in real-world environments. Continuous Architecture in Practice provides hands-on advice for leveraging continuous architecture in real-world environments and illuminates architecture's changing role in the age of Agile, DevSecOps, and cloud platforms. This guide will help technologists update their architecture practice for new application challenges.

Название: Building Blockchain Apps (Final)
Автор: Michael Juntao Yuan
Издательство: Addison-Wesley Professional
Год: 2020
Страниц: 336
Язык: английский
Формат: pdf (true), epub
Размер: 10.2 MB, 28.6 MB

A Developer's Guide to Blockchain Programming Fundamentals. The easiest way to get started with blockchain application development is to use the open source BUIDL tool - an online integrated development environment (IDE) that works in any modern web browser. BUIDL provides a comprehensive coding environment for creating and deploying end-to-end blockchain applications. You can create an entire blockchain application inside BUIDL, from smart contracts on the back end to HTML on the front end, and everything in the middle.

Название: Deep Learning on Graphs
Автор: Yao Ma, Jiliang Tang
Издательство: ‎ Cambridge University Press
Год: 2021
Страниц: 339
Язык: английский
Формат: pdf (true)
Размер: 28.2 MB

Deep learning on graphs has become one of the hottest topics in machine learning. The book consists of four parts to best accommodate our readers with diverse backgrounds and purposes of reading. Part 1 introduces basic concepts of graphs and deep learning; Part 2 discusses the most established methods from the basic to advanced settings; Part 3 presents the most typical applications including natural language processing, computer vision, data mining, biochemistry and healthcare; and Part 4 describes advances of methods and applications that tend to be important and promising for future research. The book is self-contained, making it accessible to a broader range of readers including (1) senior undergraduate and graduate students; (2) practitioners and project managers who want to adopt graph neural networks into their products and platforms; and (3) researchers without a computer science background who want to use graph neural networks to advance their disciplines.

Название: Statistics with Julia: Fundamentals for Data Science, Machine Learning and Artificial Intelligence
Автор: Yoni Nazarathy, Hayden Klok
Издательство: Springer
Год: 2021
Формат: True PDF
Страниц: 531
Размер: 24,8 Mb
Язык: English

This monograph uses the Julia language to guide the reader through an exploration of the fundamental concepts of probability and statistics, all with a view of mastering machine learning, data science, and artificial intelligence. The text does not require any prior statistical knowledge and only assumes a basic understanding of programming and mathematical notation. It is accessible to practitioners and researchers in data science, machine learning, bio-statistics, finance, or engineering who may wish to solidify their knowledge of probability and statistics.

Название: An Introduction to Parallel Programming, 2nd Edition
Автор: Peter S. Pacheco, Matthew Malensek
Издательство: Elsevier Inc
Год: 2022
Формат: PDF
Страниц: 479
Размер: 10 Mb
Язык: English

An Introduction to Parallel Programming, Second Edition presents a tried-and-true tutorial approach that shows students how to develop effective parallel programs with MPI, Pthreads and OpenMP.
As the first undergraduate text to directly address compiling and running parallel programs on multi-core and cluster architecture, this second edition carries forward its clear explanations for designing, debugging and evaluating the performance of distributed and shared-memory programs while adding coverage of accelerators via new content on GPU programming and heterogeneous programming. New and improved user-friendly exercises teach students how to compile, run and modify example programs.