Название: Hello World! Программирование для детей и взрослых
Автор: Сэнд У., Сэнд К.
Издательство: ДМК Пресс
Год: 2021
Формат: pdf
Страниц: 487
Размер: 21,2 Мб
Язык: русский

Приступив к изучению этого занимательного руководства, каждый, даже первоклассник, сможет написать на Python – одном из самых простых в освоении языков программирования – свое приветствие миру: Hello World!

Название: Deep Learning for Biomedical Data Analysis: Techniques, Approaches, and Applications
Автор: Mourad Elloumi
Издательство: Springer
Год: 2021
Формат: PDF
Страниц: 358
Размер: 10 Mb
Язык: English

This book is the first overview on Deep Learning (DL) for biomedical data analysis. It surveys the most recent techniques and approaches in this field, with both a broad coverage and enough depth to be of practical use to working professionals. This book offers enough fundamental and technical information on these techniques, approaches and the related problems without overcrowding the reader's head. It presents the results of the latest investigations in the field of DL for biomedical data analysis.

Название: React Cookbook: Recipes for Mastering the React Framework (Fifth Early Release)
Автор: David Griffiths, Dawn Griffiths
Издательство: O’Reilly Media, Inc.
Год: 2021-06-18
Страниц: 329
Язык: английский
Формат: epub
Размер: 16.2 MB

This book contains a collection of code that we’ve found helpful over several years of building React applications. Like recipes you would use in the kitchen, we’ve designed them to be starting points or inspirations for your own code. You should adjust them to match your situation and replace any ingredients (such as example servers) with those that seem more appropriate for your needs. The recipes range from general web development tips to larger pieces of code that you could generalize into libraries. Most of the recipes are built with Create React App, as this is now the common starting point for most React projects. It should be straightforward to convert each recipe for use in Preact or Gatsby.

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.