Название: C# 8 и .NET Core. Разработка и оптимизация.
Автор: Прайс Марк Дж.
Издательство: Питер
Год: 2021
Формат: PDF
Страниц: 816
Размер: 16,6 Mb
Язык: Русский

В издании рассмотрены все темы, связанные с разработкой на C#. В начале книги вы ознакомитесь с основами C#, в том числе с объектно-ориентированным программированием, а также с новыми возможностями C# 8.0. Несколько глав посвящено .NET Standard API, применяемым для запроса данных и управления ими, отслеживания производительности и ее повышения, работы с файловой системой, асинхронными потоками, сериализацией и шифрованием. Кроме того, на примерах кроссплатформенных приложений вы сможете собрать и развернуть собственные.

Название: Программируй & типизируй
Автор: Ришкуция Влад
Издательство: Питер
Год: 2021
Формат: PDF
Страниц: 352
Размер: 33,8 Mb
Язык: Русский

Причиной многих программных ошибок становится несоответствие типов данных. Сильная система типов позволяет избежать целого класса ошибок и обеспечить целостность данных в рамках всего приложения. Разработчик, научившись мастерски использовать типы в повседневной практике, будет создавать более качественный код, а также сэкономит время, которое потребовалось бы для выискивания каверзных ошибок, связанных с данными.

Название: Cloud Native Go
Автор: Matthew A. Titmus
Издательство: O’Reilly Media
Год: 2021
Формат: True PDF, EPUB
Страниц: 422
Размер: 10 Mb
Язык: English

What do Docker, Kubernetes, and Prometheus have in common? All of these cloud native technologies are written in the Go programming language. This practical book shows you how to use Go's strengths to develop cloud native services that are scalable and resilient, even in an unpredictable environment. You'll explore the composition and construction of these applications, from lower-level features of Go to mid-level design patterns to high-level architectural considerations.

Название: Game | World | Architectonics: Transdisciplinary Approaches on Structures and Mechanics, Levels and Spaces, Aesthetics and Perception
Автор: Marc Bonner
Издательство: Heidelberg University Publishing
Год: 2021
Формат: pdf
Страниц: 270
Размер: 10,3 МБ
Язык: English

This anthology comprises written versions as well as extended case studies of talks from the international two-day workshop “Architectonics of Game Worlds—On Aesthetics and Mechanics, Spaces and Places, Rhythms and Philosophies” at the University of Cologne in March 2019.

Название: Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools
Автор: Jozsef Dombi, Orsolya Csiszar
Издательство: Springer
Год: 2021
Страниц: 186
Язык: английский
Формат: pdf (true), epub
Размер: 28.5 MB

The research presented in this book shows how combining deep neural networks with a special class of fuzzy logical rules and multi-criteria decision tools can make deep neural networks more interpretable – and even, in many cases, more efficient. Fuzzy logic together with multi-criteria decision-making tools provides very powerful tools for modeling human thinking. Based on their common theoretical basis, we propose a consistent framework for modeling human thinking by using the tools of all three fields: fuzzy logic, multi-criteria decision-making, and Deep Learning (DL) to help reduce the black-box nature of neural models; a challenge that is of vital importance to the whole research community.

Название: Ripple-Down Rules: The Alternative to Machine Learning
Автор: Paul Compton, Byeong Ho Kang
Издательство: CRC Press
Год: 2021
Страниц: 196
Язык: английский
Формат: pdf (true)
Размер: 10.9 MB

Machine Learning algorithms hold extraordinary promise, but the reality is that their success depends entirely on the suitability of the data available. This book is about Ripple-Down Rules (RDR), an alternative manual technique for rapidly building AI systems. With a human in the loop, RDR is much better able to deal with the limitations of the data. Ripple-Down Rules: The Alternative to Machine Learning starts by reviewing the problems with data quality and the problems with conventional approaches to incorporating expert human knowledge into AI systems.

Название: Recommender Systems: Algorithms and Applications
Автор: P. Pavan Kumar, S. Vairachilai
Издательство: CRC Press
Год: 2021
Страниц: 249
Язык: английский
Формат: pdf (true)
Размер: 17.6 MB

Recommender systems use information filtering to predict user preferences. They are becoming a vital part of e-business and are used in a wide variety of industries, ranging from entertainment and social networking to information technology, tourism, education, agriculture, healthcare, manufacturing, and retail. Recommender Systems: Algorithms and Applications dives into the theoretical underpinnings of these systems and looks at how this theory is applied and implemented in actual systems.

Название: Architecting Data-Intensive SaaS Applications: Building Scalable Software with Snowflake
Автор: William Waddington, Kevin McGinley
Издательство: O’Reilly Media, Inc.
Год: 2021
Страниц: 80
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Through explosive growth in the past decade, data now drives significant portions of our lives, from crowdsourced restaurant recommendations to AI systems identifying effective medical treatments. Software developers have unprecedented opportunity to build data applications that generate value from massive datasets across use cases such as customer 360, application health and security analytics, the IoT, machine learning, and embedded analytics. Data applications are customer- or employee-facing applications that process large volumes of complex and fast-changing data, embedding analytics capabilities that allow users to harness their data directly within the application.

Название: Data Science at the Command Line: Obtain, Scrub, Explore, and Model Data with Unix Power Tools, 2nd Edition (Third Early Release)
Автор: Jeroen Janssens
Издательство: O’Reilly Media, Inc.
Год: 2021-04-30
Страниц: 166
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

This thoroughly revised guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You'll learn how to combine small yet powerful command-line tools to quickly obtain, scrub, explore, and model your data. To get you started, author Jeroen Janssens provides a Docker image packed with over 80 tools--useful whether you work with Windows, macOS, or Linux.

Название: Algorithmic Thinking for Adventurous Minds: Quest for Fundamental Algorithms with Visualization and Python
Автор: Xu, Claire; Xu, Raymond; Xu, William
Издательство: Xu, Claire; Xu, Raymond; Xu, William
Год: 2021
Формат: epub
Страниц: 254
Размер: 61,0 МБ
Язык: English

This book is about how to work smart to avoid unnecessary work. Algorithmic thinking is about identifying the most efficient steps to solve a seemingly complex problem without detouring. It is a necessary skill for future jobs. Through a magical lens, CalliLens, you will observe abstraction and recognize patterns in the Land of Apple Pi. The authors, along with Python, transform into the main characters, the BestFour. They will accompany you through each challenge, naturally come up with the solution steps, and master algorithmic thinking without you forcefully knowing it.