Название: Intelligent Systems: Theory, Research and Innovation in Applications
Автор: Ricardo Jardim-Goncalves, Vassil Sgurev
Издательство: Springer
Год: 2020
Страниц: 367
Язык: английский
Формат: pdf (true)
Размер: 14.4 MB

From artificial neural net / game theory / semantic applications, to modeling tools, smart manufacturing systems, and data science research – this book offers a broad overview of modern intelligent methods and applications of machine learning, evolutionary computation, Industry 4.0 technologies, and autonomous agents leading to the Internet of Things and potentially a new technological revolution. Though chiefly intended for IT professionals, it will also help a broad range of users of future emerging technologies adapt to the new smart / intelligent wave.

Название: Reproducible Research with R and RStudio, Third Edition
Автор: Christopher Gandrud
Издательство: Chapman & Hall/CRC
Серия: The R Series
Год: 2020
Страниц: 299
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

"Gandrud has written a great outline of how a fully reproducible research project should look from start to finish, with brief explanations of each tool that he uses along the way… Advanced undergraduate students in mathematics, statistics, and similar fields as well as students just beginning their graduate studies would benefit the most from reading this book. Many more experienced R users or second-year graduate students might find themselves thinking, "I wish I’d read this book at the start of my studies, when I was first learning R! "…This book could be used as the main text for a class on reproducible research …"

Название: Разработка сложных отчетов в «1С:Предприятии 8». Система компоновки данных
Издание 2
Автор: Хрусталева Е.Ю.
Издательство: М.: 1С-Паблишинг
Год: 2016
Формат: pdf
Страниц: 485
Размер: 23 mb
Язык: Русский

Книга адресована разработчикам прикладных решений в системе «1С:Предприятие 8». Она позволяет самостоятельно изучить возможности системы компоновки данных. Для начинающих разработчиков в книге описывается устройство системы компоновки данных, приводятся простые примеры создания отчетов, снабженные большим количеством иллюстраций и комментариев.

Название: Java Concurrency на практике
Автор: Гетц Б., Пайерлс Т., Блох Д., Боубер Д., Холмс Д. , Ли Д.
Издательство: Питер
Год: 2020
Формат: pdf, djvu
Размер: 11 Мб
Качество: Хорошее
Язык: Русский

Потоки являются фундаментальной частью платформы Java. Многоядерные процессоры - это обыденная реальность, а эффективное использование параллелизма стало необходимым для создания любого высокопроизводительного приложения. Улучшенная виртуальная машина Java, поддержка высокопроизводительных классов и богатый набор строительных блоков для задач распараллеливания стали в свое время прорывом в разработке параллельных приложений. В "Java Concurrency на практике" сами создатели прорывной технологии объясняют не только принципы работы, но и рассказывают о паттернах проектирования.

Название: Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD (Early Release)
Автор: Jeremy Howard, Sylvain Gugger
Издательство: O’Reilly Media, Inc.
Год: 2020
Страниц: 202
Язык: английский
Формат: epub
Размер: 10.1 MB

Deep learning has the reputation as an exclusive domain for math PhDs. Not so. With this book, programmers comfortable with Python will learn how to get started with deep learning right away. Using PyTorch and the fastai deep learning library, you’ll learn how to train a model to accomplish a wide range of tasks—including computer vision, natural language processing, tabular data, and generative networks. At the same time, you’ll dig progressively into deep learning theory so that by the end of the book you’ll have a complete understanding of the math behind the library’s functions.

Название: Programming with Python for Social Scientists
Автор: Phillip D. Brooker
Издательство: SAGE Publications Ltd
Год: 2020
Страниц: 388
Язык: английский
Формат: pdf, djvu
Размер: 10.1 MB

As data become "big", fast and complex, the software and computing tools needed to manage and analyse them are rapidly developing. Social scientists need new tools to meet these challenges, tackle big datasets, while also developing a more nuanced understanding of – and control over – how these computing tools and algorithms are implemented. Programming with Python for Social Scientists offers a vital foundation to one of the most popular programming tools in computer science, specifically for social science researchers, assuming no prior coding knowledge.

Название: DevOps: Step-by-Step Guide of Development and IT Operations. Advocate Better Communication and Collaboration Between Business Units
Автор: Yughi Chan
Издательство: Amazon.com Services LLC
Год: 2020
Страниц: 248
Язык: английский
Формат: pdf (conv), rtf, epub
Размер: 10.1 MB

Will it be strange when the application development team and operation team start working together? You will be surprised. Won’t you? Definitely they have been isolated for a very long time. But now the process introduced by DevOps has made the development team and operation team work together for more production. In past several years, DevOps has proved itself one of the hottest IT trends. Plenty of success stories have been introduced and results are more stunning due to DevOps effectiveness with software developments for any size of organization, IT levels and any industry around the globe.

Название: Grokking Deep Reinforcement Learning (MEAP Version 11)
Автор: Miguel Morales
Издательство: Manning Publications
Год: 2020
Формат: true pdf/epub
Страниц: 399
Размер: 41.1 Mb
Язык: English

Grokking Deep Reinforcement Learning is a beautifully balanced approach to teaching, offering numerous large and small examples, annotated diagrams and code, engaging exercises, and skillfully crafted writing. You'll explore, discover, and learn as you lock in the ins and outs of reinforcement learning, neural networks, and AI agents. You will go from small grid world environments and some of the foundational algorithms to some of the most challenging environments out there today and cutting-edge techniques to solve these environments.

Название: Machine Learning with R, tidyverse, and mlr (MEAP)
Автор: Hefin I. Rhys
Издательство: Manning Publications
Год: 2019
Формат: true pdf/epub
Страниц: 513
Размер: 36.6 Mb
Язык: English

Machine Learning with R, tidyverse, and mlr teaches you how to gain valuable insights from your data using the powerful R programming language. In his engaging and informal style, author and R expert Hefin Ioan Rhys lays a firm foundation of ML basics and introduces you to the tidyverse, a powerful set of R tools designed specifically for practical data science. Armed with the fundamentals, you’ll delve deeper into commonly used machine learning techniques including classification, prediction, reduction, and clustering algorithms, applying each to real data to make predictions on fun and interesting problems.
Using the tidyverse packages, you’ll transform, clean, and plot your data, onboarding data science best practices as you go.

Название: Microservices: A Practical Guide: Principles, Concepts, and Recipes, Second Edition
Автор: Eberhard Wolff
Издательство: CreateSpace Independent Publishing Platform
Год: 2019
Формат: true pdf/epub
Страниц: 319
Размер: 17 Mb
Язык: English

Microservices have many advantages: Efficiently implementing more features, bringing software into production faster, robustness and easy scalability are among them. But implementing a microservices architecture and selecting the necessary technologies are difficult challenges.This book shows microservices recipes that architects can customize and combine into a microservices menu. In this way, the implementation of microservices can be individually adapted to the requirements of the project.Eberhard Wolff introduces microservices, self-contained systems, micro- and macro-architecture and the migration to microservices. The second part shows the microservices recipes: Basic technologies such as Docker or PaaS, frontend integration with links, jаvascript or ESI (Edge Side Includes).