Название: Unity Development Cookbook: Real-Time Solutions from Game Development to AI, 2nd Edition (Second Early Release)
Автор: Paris Buttfield-Addison, Jon Manning, Tim Nugent
Издательство: O’Reilly Media, Inc.
Год: 2023-05-17
Страниц: 425
Язык: английский
Формат: epub (true)
Размер: 16.8 MB

Find out everything you need to know to use the powerful Unity engine to its full potential for 3D and 2D game development, simulation, artificial intelligence, and beyond. From the basics of scripting to techniques for interactivity, AI and behavior, animation, narrative, and networking, this flexible, mind-bogglingly popular engine is useful for anything that needs some form of visuals and real-time simulation. With this thoroughly updated problem-solving cookbook, beginner to intermediate Unity developers will get started in two ways: - First, you'll learn about the Unity engine through brief recipes that teach specific features of the software and scripting systems; - Second, you'll apply a collection of snippets of code to address common scenarios, such as properly keeping score, or accepting input, or sharing state over the network.

Название: Natural Language Processing in the Real World: Text Processing, Analytics, and Classification
Автор: Jyotika Singh
Издательство: CRC Press
Год: 2023
Страниц: 393
Язык: английский
Формат: pdf (true)
Размер: 25.6 MB

Natural Language Processing in the Real World is a practical guide for applying data science and machine learning to build Natural Language Processing (NLP) solutions. Where traditional, academic-taught NLP is often accompanied by a data source or dataset to aid solution building, this book is situated in the real world where there may not be an existing rich dataset. This book covers the basic concepts behind NLP and text processing and discusses the applications across 15 industry verticals. From data sources and extraction to transformation and modelling, and classic Machine Learning to Deep Learning and Transformers, several popular applications of NLP are discussed and implemented. With numerous real-world NLP applications and projects using open-source tools and the Python programming language, readers will gain hands-on experience and be able to apply the solutions in your work.

Название: Python для сетевых инженеров
Автор: Самойленко Н.
Издательство: GitBook
Год: 06 февр. 2023
Страниц: 749
Язык: русский
Формат: pdf (true), epub +code
Размер: 10.2 MB

В книге рассматриваются основы Python с примерами и заданиями построенными на сетевой тематике. С одной стороны, книга достаточно базовая, чтобы её мог одолеть любой желающий, а с другой стороны, в книге рассматриваются все основные темы, которые позволят дальше расти самостоятельно. Книга не ставит своей целью глубокое рассмотрение Python. Задача книги – объяснить понятным языком основы Python и дать понимание необходимых инструментов для его практического использования. Все, что рассматривается в книге, ориентировано на сетевое оборудование и работу с ним. Это даёт возможность сразу использовать в работе сетевого инженера то, что было изучено на курсе. Все примеры показываются на примере оборудования Cisco, но, конечно же, они применимы и для любого другого оборудования. В большинстве примеров в книге используется Python 3.7. При этом Python 3.7 это минимальная версия для работы с книгой, для версий >= 3.7 практически все что рассматривается в книге (изменился вывод некоторых сообщений), будет работать аналогично, для версий Python < 3.7 возможны нюансы. Для сетевых инженеров с опытом программирования и без.

Название: Strategic Monoliths and Microservices: Driving Innovation Using Purposeful Architecture (Final)
Автор: Vaughn Vernon, Tomasz Jaskula
Издательство: Addison-Wesley/Pearson Education
Год: 2022
Страниц: 348
Язык: английский
Формат: True/Retail PDF EPUB
Размер: 21.8 MB

Ведущие эксперты в области архитектуры программного обеспечения Вон Вернон и Томаш Яскула показывают, как принимать взвешенные архитектурные решения, основанные на необходимости и цели, а не на хайпе, чтобы повысить ценность и инновационность, создать более эволюционирующие системы и избежать дорогостоящих ошибок. На реалистичных примерах они показывают, как создавать хорошо спроектированные монолиты, которые можно обслуживать и расширять, и как постепенно перепроектировать и реализовать даже самые запутанные унаследованные системы в действительно эффективные микросервисы.

Название: Modern Software Engineering: Doing What Works to Build Better Software Faster (Final)
Автор: David Farley
Издательство: Addison-Wesley Professional/Pearson Education
Год: 2022
Страниц: 256
Язык: английский
Формат: True/Retail PDF, EPUB
Размер: 12.0 MB

Amplify Your Creativity, Effectiveness, and Personal Fulfillment as a Software Professional. In Modern Software Engineering, continuous delivery pioneer David Farley helps software professionals think about their work more effectively, manage it more successfully, and genuinely improve the quality of their applications, their lives, and the lives of their colleagues. Writing for programmers, managers, and technical leads at all levels of experience, Farley illuminates durable principles at the heart of effective software development, He distills the discipline into two core exercises: first, learning and exploration, and second, managing complexity. For each, he defines principles that can help you improve everything from your mindset to the quality of your code, and describes approaches proven to promote success.

Название: The Secrets of AI: a Math-Free Guide to Thinking Machines
Автор: Mukesh Borar
Издательство: Independently published
Год: 2023
Страниц: 117
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.19 MB

AI is undoubtedly the most critical technology that we must understand today. It is affecting everyone’s career, business and profession. However, AI is a complex and mysterious technology. To understand it, we have to climb a mountain of cryptic mathematical concepts and formulas, and success may still be elusive. ‘The Secrets of AI’ addresses this and explains AI in a simple, math-free language. This book sidesteps arcane algorithmic details and presents AI from the important perspectives of – intelligence, engineering, design, learnability, trust and business. It provides deep insights into the symbiotic relationships between data, learning and intelligence. The book has a strong focus on AI engineering. The AI development lifecycle is illustrated with an exhaustive case study on AI-driven live coverage of sports. It includes domain study, model architecture, feature engineering, model training, deployment and feedback learning. The book describes several design patterns and heuristics that are useful for building successful AI-powered systems.

Название: Introduction to Software Testing: A Practical Guide to Testing, Design, Automation, and Execution
Автор: Panagiotis Leloudas
Издательство: Apress
Год: 2023
Страниц: 219
Язык: английский
Формат: pdf
Размер: 10.2 MB

Get started and hit the ground running in the world of software testing. This simple and practical guide teaches you the fundamentals of software testing, with no prior experience required. You will start by learning functional and non-functional software testing. Then you will gain an understanding of the primary responsibilities of a tester in the Software Development Life Cycle and how to plan and execute testing activities. You will also learn how testing applies to an agile environment, what challenges you might face in your day-to-day life as a tester, and how to overcome them. You will learn the most commonly used test design techniques, with ample examples and exercises to practice yourself. This book takes you on a journey around the software testing world, covering the basic principles and techniques and showing examples of how to apply them. Software testing is a safeguard of the quality of a software product, and a tester is responsible for reporting on the quality status.

Название: SwiftUI Apprentice (2nd Edition)
Автор: Audrey Tam, Caroline Begbie
Издательство: Kodeco Inc.
Год: 2023
Страниц: 722
Язык: английский
Формат: pdf (true)
Размер: 140.7 MB

If you're new to iOS programming, this is the book for you! Learn to build beautiful, fully-functional apps using Apple’s hottest user interface technology: SwiftUI!SwiftUI Apprentice is a series of epic-length tutorials where you’ll learn to build three complete apps from scratch, using Apple’s new user interface technology: SwiftUI! Each app is more advanced than the one before, and together, they cover everything to make your own apps using SwiftUI. By the end of the book, you’ll be experienced enough to turn your ideas into real apps you can sell on the App Store. These tutorials have easy to follow step-by-step instructions and consist of more than pages and illustrations! You also get full source code, image files, and other resources you can re-use for your own projects.

Название: Computational Aspects of Psychometric Methods With R
Автор: Patricia Martinkova, Adela Hladka
Издательство: CRC Press
Год: 2023
Страниц: 348
Язык: английский
Формат: pdf (true)
Размер: 21.8 MB

This book covers the computational aspects of psychometric methods involved in developing measurement instruments and analyzing measurement data in social sciences. It covers the main topics of psychometrics such as validity, reliability, item analysis, item response theory models, and computerized adaptive testing. The computational aspects comprise the statistical theory and models, comparison of estimation methods and algorithms, as well as an implementation with practical data examples in R and also in an interactive ShinyItemAnalysis application. In this book, we use R which is a freely available statistical environment. There are a number of things that make R a great choice for psychometric analysis: Besides being free, it is also open source software, meaning that the code is available for the user, and it is possible to check what a given function does or how the methods are implemented. It offers up-to-date methods as a number of statisticians and researchers from different fields implement the newly published algorithms and methods in R.

Название: Hypergraph Computation
Автор: Qionghai Dai, Yue Gao
Издательство: Springer
Серия: Artificial Intelligence: Foundations, Theory, and Algorithms
Год: 2023
Страниц: 251
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Artificial Intelligence (AI) is now everywhere and fuels both industry and daily life all over the world. We are in the era of “Big Data,” and huge sums of information can be obtained which are too cumbersome for people to process themselves. These Big Data are even with much complex correlations behind them in various areas, such as computer vision and social media. For example, the complex correlations among pixels in an image reveal its semantic information, and different types of correlations among social posts infer the users’ emotions. Therefore, developing effective AI methods to exploit such complex data correlations has become an urgent but challenging task. Graph has been widely used to formulate data correlations. A graph is a non-linear data structure which is composed of groups of vertices and edges, representing the pairwise correlations among vertices. Graph learning and graph neural networks have attracted much attention in both research and industrial fields and become very hot topics in these years. It is noted that the world is far more complex than just pairwise connections, and thus graph-based methods still have limitations on high-order correlation modeling. Hypergraph, as a generation of graph, is able to formulate such high-order correlations among the data and has been investigated in last decades. Recent years have witnessed a great popularity of research on hypergraph-related AI methods, which have been used in computer vision, social media analysis, and etc.