Название: Hello World! Программирование для детей и взрослых
Автор: Сэнд У., Сэнд К.
Издательство: ДМК
Год: 2021
Формат: PDF
Страниц: 487
Размер: 21 Mb
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!
Ознакомив читателей с элементарными операциями, авторы постепенно перейдут к более сложным темам: работе с графикой и со звуком, компьютерному моделированию и созданию игр. Материал излагается в доступной, удобной для понимания манере; забавные иллюстрации и подробный разбор примеров кода делают обучение легким и нескучным.

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. The techniques and approaches presented in this book deal with the most important and/or the newest topics encountered in this field.

Название: Python. Сборник упражнений
Автор: Бен Стивенсон
Издательство: ДМК Пресс
Год: 2021
Страниц: 239
Язык: русский
Формат: pdf, djvu
Размер: 10.16 MB

Я свято верю, что программирование лучше всего изучать с упором на практику. Безусловно, читать книги по программированию и наблюдать за тем, как преподаватель строит алгоритмы у доски, бывает очень полезно, но не меньшую, если не большую пользу принесет самостоятельное решение задач и воплощение изученных концепций программирования на практике. С учетом вышесказанного я решил большую часть данной книги посвятить практическим упражнениям и их решениям, а основы языка Python дать очень кратко и поверхностно. В книге содержится 186 задач различной степени сложности, охватывающих самые разные учебные дисциплины и сферы жизнедеятельности. Для их решения вам будет достаточно базовых знаний языка, полученных в любом курсе по Python.

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: 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.
Authors Joshua Wood and Brian Tannous, principal developer advocates at Red Hat, demonstrate how OpenShift speeds application development. With the Kubernetes container orchestrator at its core, OpenShift simplifies and automates the way you build, ship, and run your code. Throughout this book, you'll learn how to use OpenShift and the Quarkus Java framework to develop and deploy apps using proven enterprise technologies.

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.
With the tidy R approach, producing publication-ready statistical reports is straight-forward and even non-programmers can learn this in just one day. Hundreds of illustrations, tables, simulations and models are presented with full R code and data included.

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.