Litgu.ru - Литературный Гуру

Название: Алгоритмы и программы на Turbo Pascal. Учебный курс
Автор: Федоренко Ю.
Жанр: Учебное пособие
Издательство: Питер
Год: 2001
Страниц: 240
Язык: Русский
Формат: pdf
Размер: 21,83 Mb

Эта книга предназначена для самостоятельного изучения одного из самых популярных языков программирования. В ней освещены те разделы Turbo Pascal, которые необходимы и достаточны для подавляющего большинства учащихся, инженеров и научных работников.

Название: Изучаем Java EE. Современное программирование для больших предприятий
Автор(ы): Дашнер Себастьян
Издательство: СПб.: Питер
Год: 2018
Страниц: 384
Формат: PDF
Размер: 10 Мб
Язык: русский

Java EE 8 - современная версия популярной платформы для программирования корпоративных приложений на языке Java. Новая версия платформы оптимизирована с учетом многочисленных технологических нововведений, среди которых - работа с контейнерами, улучшенные API для обеспечения безопасности, возможности работы с облачными хранилищами и микросервисной архитектурой. Java EE обеспечивает широкие возможности предметно-ориентированного проектирования (DDD), непрерывную интеграцию, работу по принципу DevOps, взаимодействие с Docker и Kubernetes.

Название: Elements Of Android Q (Final Version)
Автор: Mark L. Murphy
Издательство: CommonsWare, LLC
Год: 2019
Страниц: 97
Язык: английский
Формат: pdf (true), rtf, mobi, epub
Размер: 10.1 MB

Данная книга предназначена для разработчиков с опытом разработки приложений для Android более 1 года. Если вы новичок в Android, перед тем как продолжить читать эту книгу, подумайте о прочтении «Элементы Android Jetpack», «Изучение Android» или их обоих. Также обратите свое внимание, что примеры в этой книге написаны на языке программирования Kotlin.

Название: Julia Quick Syntax Reference: A Pocket Guide for Data Science Programming
Автор: Antonello Lobianco
Издательство: Apress
Год: 2019
Формат: true pdf/epub/mobi
Страниц: 216
Размер: 10 Mb
Язык: English

This quick Julia programming language guide is a condensed code and syntax reference to the Julia 1.x programming language, updated with the latest features of the Julia APIs, libraries, and packages. It presents the essential Julia syntax in a well-organized format that can be used as a handy reference.
This book provides an introduction that reveals basic Julia structures and syntax; discusses data types, control flow, functions, input/output, exceptions, metaprogramming, performance, and more. Additionally, you'll learn to interface Julia with other programming languages such as R for statistics or Python. You will learn how to use Julia packages for data analysis, numerical optimization and symbolic computation, and how to disseminate your results in dynamic documents or interactive web pages.
In this book, the focus is on providing important information as quickly as possible. It is packed with useful information and is a must-have for any Julia programmer.

Название: Learn Java with Math: Using Fun Projects and Games
Автор: Ron Dai
Издательство: Apress
Год: 2019
Формат: true pdf/epub/mobi
Страниц: 231
Размер: 10.7 Mb
Язык: English

There are many good Java programming books on the market, but it's not easy to find one fit for a beginner. This book simplifies the complexity of Java programming and guides you through the journey to effectively work under the hood.
You'll start with the fundamentals of Java programming and review how it integrates with basic mathematical concepts through many practical examples. You'll witness firsthand how Java can be a powerful tool or framework in your experimentation work.

Название: Deep Reinforcement Learning with Guaranteed Performance: A Lyapunov-Based Approach
Автор: Yinyan Zhang, Shuai Li
Издательство: Springer
Год: 2019 (2020 Edition)
Страниц: 237
Язык: английский
Формат: pdf (true)
Размер: 11.2 MB

This book discusses methods and algorithms for the near-optimal adaptive control of nonlinear systems, including the corresponding theoretical analysis and simulative examples, and presents two innovative methods for the redundancy resolution of redundant manipulators with consideration of parameter uncertainty and periodic disturbances. Reinforcement learning and, in particular, deep reinforcement learning have attracted more and more research interest in recent years. Such type of learning methods could be a powerful tool for the control of nonlinear systems.

Название: Evolutionary Machine Learning Techniques: Algorithms and Applications
Автор: Seyedali Mirjalili, Hossam Faris
Издательство: Springer
Год: 2020
Страниц: 287
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

This book provides an in-depth analysis of the current evolutionary Machine Learning (ML) techniques. Discussing the most highly regarded methods for classification, clustering, regression, and prediction, it includes techniques such as support vector machines, extreme learning machines, evolutionary feature selection, artificial neural networks including feed-forward neural networks, multi-layer perceptron, probabilistic neural networks, self-optimizing neural networks, radial basis function networks, recurrent neural networks, spiking neural networks, neuro-fuzzy networks, modular neural networks, physical neural networks, and deep neural networks.

Название: Introducing Python: Modern Computing in Simple Packages Second Edition
Автор: Bill Lubanovic
Издательство: O'Reilly Media
Год: 2019
Формат: epub
Страниц: 605
Размер: 10.8 Mb
Язык: English


Easy to understand and fun to read, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you’ve learned.

Название: Deep Learning Techniques for Music Generation
Автор: Jean-Pierre Briot, Gaetan Hadjere
Издательство: Springer
Год: 2019
Страниц: 303
Язык: английский
Формат: pdf (true)
Размер: 12.1 MB

This book is a survey and analysis of how Deep Learning (DL) can be used to generate musical content. The authors offer a comprehensive presentation of the foundations of Deep Learning techniques for music generation. They also develop a conceptual framework used to classify and analyze various types of architecture, encoding models, generation strategies, and ways to control the generation. There is no consensual definition for Deep Learning. It is a repertoire of Machine Learning (ML) techniques, based on artificial neural networks. The key aspect and common ground is the term deep. This means that there are multiple layers processing multiple hierarchical levels of abstractions, which are automatically extracted from data.

Название: Keeping Your AI Under Control: A Pragmatic Guide to Identifying, Evaluating, and Quantifying Risks
Автор: Anand Tamboli
Издательство: Apress
Год: 2019
Страниц: 133
Язык: английский
Формат: pdf (true), rtf, epub
Размер: 10.1 MB

Artificial Intelligence (AI), we often see it as a panacea that can somehow resolve everything. As it stands today, the outlook is still highly debatable. AI has now become a real-world application technology, and it is becoming part of modern life fabric. Much of our daily lives intertwine with Artificial Intelligence. From watching movies recommended by our entertainment streaming service, to interacting with customer service chatbots, to autotagging photos of friends in our social media apps, AI plays an invisible part in enriching our lives. While AI may be seen as a panacea for enterprise advancement and consumer convenience, it is still an emerging technology, and its explosive growth needs to be approached with proper care and preparation. How do we tackle the challenges it presents, and how do we make sure that it does precisely what it is supposed to do?