Название: Stylish F# 6: Crafting Elegant Functional Code for .NET 6, 2nd Edition
Автор: Kit Eason
Издательство: Apress
Год: 2022
Страниц: 433
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

Why just get by in F# when you can program in style. This book goes beyond syntax and into design. It provides F# developers with best practices, guidance, and advice to write beautiful, maintainable, and correct code. This second edition, fully updated for .NET 6 and F# 6, includes all new coverage of anonymous records, the task {} computation expression, and the relationship between types and modules.

Название: Natural Language Processing
Автор: Zoran Gacovski
Издательство: Arcler Press
Год: 2021
Страниц: 465
Язык: английский
Формат: pdf (true)
Размер: 17.2 MB

This edition covers different topics from natural language processing, including natural language processing in IT / web systems, semantics in natural language processing, mathematical algorithms in natural language processing, and natural language in mobile systems. Section 1 focuses on natural language processing in IT and web systems, describing semantic analysis of natural language queries for an object oriented database; communication mediated through natural language generation in big data environments; web semantic and ontology; and understanding creative language in tweets. Section 2 focuses on semantics in natural language processing, describing resolving topic-focus ambiguities in natural language; semantic interoperability in e-health for improved healthcare; computational context modeling framework - an ontological approach to develop context-aware web applications; and three types of episodic associations for the semantic/syntactic/episodic model of language prospective in applications to the statistical translation. Section 3 focuses on mathematical algorithms in natural language processing, describing bridging between natural language and mathematical language in solving problems in mathematics.

Название: Teaching AI the Language of Your Business: NLP Applications for the Enterprise
Автор: Kinga Parrott
Издательство: O’Reilly Media, Inc.
Год: 2021-10-27
Язык: английский
Формат: epub
Размер: 10.3 MB

Organizations in all industries are increasingly finding ways to leverage the information hidden in natural language to solve customer service issues, get insights from product reviews and medical records, and so much more. These insights depend on the ability of machines to understand and generate natural language.

Название: Nature-Inspired Algorithms Applications
Автор: S. Balamurugan, Anupriya Jain
Издательство: Wiley-Scrivener
Год: 2022
Страниц: 384
Язык: английский
Формат: pdf (true), epub (true)
Размер: 21.7 MB, 10.47 MB

The purpose of designing this book is to portray certain practical applications of nature-inspired computation in machine learning for the better understanding of the world around us. The focus is to portray and present recent developments in the areas where nature- inspired algorithms are specifically designed and applied to solve complex real-world problems in data analytics and pattern recognition, by means of domain-specific solutions. Various nature-inspired algorithms and their multidisciplinary applications (in mechanical engineering, electrical engineering, machine learning, image processing, data mining and wireless network domains are detailed, which will make this book a handy reference guide.

Название: AWS Certified Machine Learning Study Guide: Specialty (MLS-C01) Exam
Автор: Shreyas Subramanian, Stefan Natu
Издательство: Sybex
Год: 2022
Страниц: 352
Язык: английский
Формат: pdf (true), epub (true)
Размер: 15.7 MB, 10.1 MB

Succeed on the AWS Machine Learning exam or in your next job as a Machine Learning specialist on the AWS Cloud platform with this hands-on guide. Machine learning (ML) is one of the most popular and rapidly growing fields in the technology industry today, with far-reaching business implications. The market for ML solutions and products is expected to grow annually by tens of billions of dollars, and with it, the demand for professionals who understand how to analyze data and build ML solutions is expected to grow as well. ML is a highly technical field, and successful ML professionals need a foundation in mathematics, statistics, and data analysis. They must be able to code and have a fundamental understanding of infrastructure and software development best practices. In the past, the practitioners of machine learning were academics and PhDs, but the industry demand for ML is much larger than the supply of new PhDs emerging from academic institutions.

Название: Advanced Unity Game Development: Build Professional Games with Unity, C#, and Visual Studio
Автор: Victor G Brusca
Издательство: Apress
Год: 2022
Формат: True PDF
Страниц: 363
Размер: 10 Mb
Язык: English

Jump start your Unity game development journey with a detailed review of a complete, professionally built game using Unity, C#, and Visual Studio. Gain invaluable experience with code structure, project structure, centralization of game state data, controlled initialization of script components, AI opponents, multiple input sources, player preferences, a full HUD and menu system, music and sound effects, level/track building, and more.

Название: Building Server-side and Microservices with Go: Building Modern Backends and Microservices Using Go, Docker and Kubernetes
Автор: Dusan Stojanovic
Издательство: BPB Publications
Год: 2022
Страниц: 540
Язык: английский
Формат: pdf, epub
Размер: 10.2 MB

Building Server-side and Microservices with Go' teaches you the fundamentals of Go programming languages, REST server applications, and microservices. You can develop efficient server-side applications and use modern development concepts such as microservices after reading this book.

Название: Machine Learning fur Softwareentwickler: Von der Python-Codezeile zur Deep-Learning-Anwendung
Автор: Paolo Perrotta
Издательство: dpunkt.verlag GmbH
Год: 2020
Страниц: 396
Язык: немецкий
Формат: epub
Размер: 13,8 MB

Maschinelles Lernen programmieren lernen! Der Schwerpunkt des Buchs liegt auf den drei wichtigsten Aspekten des Machine Learning: auf überwachtem Lernen, neuronalen Netzen und Deep Learning. Indem Sie bei Null beginnen und den ganzen Weg bis zum Deep Learning gehen, werden Sie ganz allmahlich mit der Materie vertraut. Weil Sie dazu den Python-Code selbst schreiben, ohne Bibliotheken, die das eigentliche Geschehen verschleiern, werden Sie besser verstehen, wie die Dinge funktionieren.

Название: Intelligent Processing Practices and Tools for E-Commerce Data, Information, and Knowledge
Автор: Honghao Gao, Jung Yoon Kim, Walayat Hussain
Издательство: Springer
Год: 2022
Страниц: 124
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

This book discusses recent research and applications about intelligent processing practices and tools for e-commerce data, information and knowledge. The authors first explain how advances in intelligent processing of data, information and knowledge that has wildly been used in e-commerce applications. They then show how this brings new opportunities and challenges for processing e-commerce data, information and knowledge. The book, made up of contributions from both academia and industry, aims to present advances in Artificial Intelligence (AI) to collect, process, and mining Data, information and knowledge, such as new algorithms and techniques in the field, foundational theory and systems, as well as practical e-commerce applications. Some of the topics discussed include AI for e-commerce, such as Machine Learning (ML), Deep Learning (DL); personalized service recommendation to e-commerce; modeling, description, and verification for data, information and knowledge; and task scheduling and performance optimization for large-scale concurrency.

Название: Innovative Trends in Computational Intelligence
Автор: Ravi Tomar, Manolo Dulva Hina
Издательство: Springer
Год: 2022
Страниц: 295
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

This book addresses the key problems that Computational Intelligence (CI) aims to solve, including (i) the involved computational process might be too complex for mathematical reasoning; (ii) it might contain some uncertainties during the process, or (iii) by nature, the computational process is a randomly determined one (heuristic). The contributors make use of methods that are close to the human's way of reasoning, that is, available information might be inexact or incomplete, yet it would be able to produce controlled actions in an adaptive way. Approaches presented in the book include swarm intelligence, artificial immune systems, image processing, data mining, natural language processing (NLP), text mining, and other solutions involving Artificial Intelligence methodologies. Nowadays, Computational Intelligence has evolved to include neural networks, fuzzy logic systems, and evolutionary computation, as well as social reasoning, artificial life, ambient intelligence, Deep Learning (DL), and the likes.