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Название: Python. Сборник упражнений
Автор: Стивенсон Б.
Издательство: ДМК Пресс
Год: 2021
Формат: pdf
Страниц: 239
Размер: 1,7 Мб
Язык: русский

Сборник содержит 186 задач по программированию разной степени сложности. Для ряда упражнений изложены решения с подробным разбором фрагментов кода и синтаксических конструкций языка Python.

Название: Software Development Pearls: Lessons from Fifty Years of Software Experience (Rough Cuts)
Автор: Karl Wiegers
Издательство: Pearson/Addison-Wesley
Год: 2021
Страниц: 392
Язык: английский
Формат: epub
Размер: 10.1 MB

Experience is a powerful teacher, but it is also slow and painful -- and software practitioners cannot afford to make every mistake others have suffered. This book helps you compress your learning curve and bypass much of the pain by absorbing lessons from others who served in the trenches before you. Drawing on 20+ years helping software teams succeed in nearly 150 organizations, Karl Wiegers presents 60 concise lessons and practical recommendations you can apply to all kinds of projects, regardless of your application domain, technology, development lifecycle, or platform infrastructure.

Название: OpenShift for Developers, 2nd Edition (Early Release)
Автор: Joshua Wood and Brian Tannous
Издательство: O’Reilly Media
Год: 2021-07-13: First Release
Формат: ePUB
Страниц: 96
Размер: 10 Mb
Язык: English

Ready to build cloud native applications? Get a rapid, hands-on introduction to daily life as a developer whose code runs on OpenShift, the open source container application platform from Red Hat. Creating and containerizing your apps for deployment on modern distributed systems can be daunting. With this practical guide, developers will learn how to build, deploy, and manage a multitiered application on OpenShift.

Название: Metaheuristics in Machine Learning: Theory and Applications
Автор: Diego Oliva, Essam H. Houssein, Salvador Hinojosa
Издательство: Springer
Год: 2021
Формат: PDF
Страниц: 765
Размер: 19 Mb
Язык: English

This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the content; then, the sections are thematic. Different applications and implementations are included; in this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms.

Название: New Statistics for Design Researchers: A Bayesian Workflow in Tidy R
Автор: Martin Schmettow
Издательство: Springer
Год: 2021
Формат: PDF
Страниц: 475
Размер: 10 Mb
Язык: English

Design Research uses scientific methods to evaluate designs and build design theories. This book starts with recognizable questions in Design Research, such as A/B testing, how users learn to operate a device and why computer-generated faces are eerie. Using a broad range of examples, efficient research designs are presented together with statistical models and many visualizations.

Название: Applications of Artificial Intelligence in Business, Education and Healthcare
Автор: Allam Hamdan, Aboul Ella Hassanien, Reem Khamis
Издательство: Springer
Год: 2021
Страниц: 502
Язык: английский
Формат: pdf (true), epub
Размер: 20.6 MB

This book focuses on the implementation of Artificial Intelligence in Business, Education and Healthcare, It includes research articles and expository papers on the applications of Artificial Intelligence on Decision Making, Entrepreneurship, Social Media, Healthcare, Education, Public Sector, FinTech, and RegTech. It also discusses the role of Artificial Intelligence in the health sector, education, and others. It also discusses the impact of Artificial Intelligence on decision-making in vital sectors of the economy.

Название: Federated AI for Real-World Business Scenarios
Автор: Dinesh C. Verma
Издательство: CRC Press
Год: 2021
Страниц: 218
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

This book provides an overview of Federated Learning and how it can be used to build real-world AI-enabled applications. Real-world AI applications frequently have training data distributed in many different locations, with data at different sites having different properties and different formats. In many cases, data movement is not permitted due to security concerns, bandwidth, cost or regulatory restriction. Under these conditions, techniques of federated learning can enable creation of practical applications. Creating practical applications requires implementation of the cycle of learning from data, inferring from data, and acting based on the inference.

Название: Handbook of AI-based Metaheuristics
Автор: Anand J. Kulkarni, Patrick Siarry
Издательство: CRC Press
Год: 2022
Страниц: 419
Язык: английский
Формат: pdf (true)
Размер: 21.1 MB

At the heart of the optimization domain are mathematical modeling of the problem and the solution methodologies. The problems are becoming larger and with growing complexity. Such problems are becoming cumbersome when handled by traditional optimization methods. This has motivated researchers to resort to Artificial Intelligence (AI)-based, nature-inspired solution methodologies or algorithms. The Handbook of AI-based Metaheuristics provides a wide-ranging reference to the theoretical and mathematical formulations of metaheuristics, including bio-inspired, swarm-based, socio-cultural, and physics-based methods or algorithms; their testing and validation, along with detailed illustrative solutions and applications; and newly devised metaheuristic algorithms. This will be a valuable reference for researchers in industry and academia, as well as for all Master’s and PhD students working in the metaheuristics and applications domains.

Название: Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization
Автор: B. K. Tripathy, Anveshrithaa Sundareswaran
Издательство: CRC Press
Год: 2022
Страниц: 175
Язык: английский
Формат: pdf (true)
Размер: 14.8 MB

Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization describes such algorithms as Locally Linear Embedding (LLE), Laplacian Eigenmaps, Isomap, Semidefinite Embedding, and t-SNE to resolve the problem of dimensionality reduction in the case of non-linear relationships within the data. Underlying mathematical concepts, derivations, and proofs with logical explanations for these algorithms are discussed, including strengths and limitations. The book highlights important use cases of these algorithms and provides examples along with visualizations. Comparative study of the algorithms is presented to give a clear idea on selecting the best suitable algorithm for a given dataset for efficient dimensionality reduction and data visualization.

Название: Taming Thymeleaf: Practical guide to building a webapplication with Spring Boot and Thymeleaf
Автор: Wim Deblauwe
Издательство: Leanpub
Год: 2021-04-13 (Version 1.1.1)
Страниц: 409
Язык: английский
Формат: pdf (true)
Размер: 44.9 MB

Learn to build a production-grade web application with Spring Boot and Thymeleaf with this book. Taming Thymeleaf will learn you about writing web applications with Spring Boot and Thymeleaf in no-time. The book teaches you step-by-step how to get started with those technologies and build a fully fledged web application including security, validation, internationalization, testing, ... Thymeleaf is an amazing technology for building server-side HTML using the Java eco-system. Combined with Spring Boot, it is really a killer combo for a productive development environment. Learn how to structure your code so your application can evolve for years to come. As HTML will always be there, you can do this without having to re-write your frontend every six months for the latest jаvascript framework.