Название: Programming Basics: Getting Started with Java, C#, and Python
Автор: Robert Ciesla
Издательство: Apress
Год: 2021
Страниц: 172
Язык: английский
Формат: pdf (true), epub
Размер: 10.17 MB

Explore the basics of the three most popular programming languages: C#, Java, and Python and see what it's like to function in today's world from the perspective of a programmer. This book's uses is highly practical approach with numerous code listings aimed at bringing generations together through the intricacies of technology.

Название: Introduction to AI Robotics, 2nd edition
Автор: Robin R. Murphy
Издательство: The MIT Press, ‎ Bradford Books
Год: 2019
Страниц: 891
Язык: английский
Формат: True EPUB
Размер: 160.2 MB

A comprehensive survey of Artificial Intelligence algorithms and programming organization for robot systems, combining theoretical rigor and practical applications. This textbook offers a comprehensive survey of Artificial Intelligence (AI) algorithms and programming organization for robot systems. Readers who master the topics covered will be able to design and evaluate an Artificially Intelligent robot for applications involving sensing, acting, planning, and learning. A background in AI is not required; the book introduces key AI topics from all AI subdisciplines throughout the book and explains how they contribute to autonomous capabilities.

Название: Introduction to R for Social Scientists
Автор: Ryan Kennedy, Philip D. Waggoner
Издательство: CRC Press
Год: 2021
Страниц: 209
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Introduction to R for Social Scientists: A Tidy Programming Approach introduces the Tidy approach to programming in R for social science research to help quantitative researchers develop a modern technical toolbox. The Tidy approach is built around consistent syntax, common grammar, and stacked code, which contribute to clear, efficient programming. The authors include hundreds of lines of code to demonstrate a suite of techniques for developing and debugging an efficient social science research workflow. To deepen the dedication to teaching Tidy best practices for conducting social science research in R, the authors include numerous examples using real world data including the American National Election Study and the World Indicators Data. While no prior experience in R is assumed, readers are expected to be acquainted with common social science research designs and terminology. Whether used as a reference manual or read from cover to cover, readers will be equipped with a deeper understanding of R and the Tidyverse, as well as a framework for how best to leverage these powerful tools to write tidy, efficient code for solving problems.

Название: Introduction to Natural Language Processing
Автор: Jacob Eisenstein
Издательство: The MIT Press
Год: 2019
Страниц: 536
Язык: английский
Формат: epub
Размер: 10.1 MB

A survey of computational methods for understanding, generating, and manipulating human language, which offers a synthesis of classical representations and algorithms with contemporary machine learning techniques. This textbook provides a technical perspective on Natural Language Processing (NLP) - methods for building computer software that understands, generates, and manipulates human language. It emphasizes contemporary data-driven approaches, focusing on techniques from supervised and unsupervised Machine Learning (ML). The first section establishes a foundation in Machine Learning by building a set of tools that will be used throughout the book and applying them to word-based textual analysis. The second section introduces structured representations of language, including sequences, trees, and graphs. The third section explores different approaches to the representation and analysis of linguistic meaning, ranging from formal logic to neural word embeddings. The final section offers chapter-length treatments of three transformative applications of natural language processing: information extraction, machine translation, and text generation. End-of-chapter exercises include both paper-and-pencil analysis and software implementation.

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: 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: 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: 97 Things Every SRE Should Know: Collective Wisdom from the Experts (Final)
Автор: Emil Stolarsky, Jaime Woo
Издательство: O’Reilly Media
Год: 2020
Страниц: 253
Язык: английский
Формат: pdf (true), epub
Размер: 59.9 MB, 54.7 MB

Site reliability engineering (SRE) is more relevant than ever. Knowing how to keep systems reliable has become a critical skill. With this practical book, newcomers and old hats alike will explore a broad range of conversations happening in SRE. You'll get actionable advice on several topics, including how to adopt SRE, why SLOs matter, when you need to upgrade your incident response, and how monitoring and observability differ.