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Название: Deep Learning With Python: Simple and Effective Tips and Tricks to Learn Deep Learning with Python
Автор: Benjamin Smith
Издательство: Amazon.com Services LLC
Год: 2020
Формат: PDF, EPUB, AZW3
Страниц: 114
Размер: 10 Mb
Язык: English

Are you looking to take your machine learning knowledge further?
Want to understand what deep learning is all about?
Then you've picked the right book.
With "Deep learning with Python: Simple and Effective Tips and Tricks to Learn Deep Learning with Python," you will learn the basics of deep learning, what it is and what it is used for. In particular, we focus on using the Python programming language over any other, given that it is the most popular programming language for data sciences.

Название: C++: Simple and Effective Tips and Tricks to learn C++ Programming Effectively
Автор: Benjamin Smith
Издательство: Amazon
Год: 2020
Формат: epub/pdf(conv.)
Размер: 2.6 Mb
Язык: English

Are you tired of searching through loads of programming books for a guide that is simple and reader-friendly? Does programming jargon and incomplete explanation of concepts hinder your learning? Are you looking for a guide book that highlights the most fundamental and key components of C++ programming? If so, then this book is the perfect contender for your learning needs.

Название: Start & Grow Your Career In Machine Learning & Data Science
Автор: Janice Pan
Издательство: Class Creatives
Год: 2020
Язык: английский
Формат: pdf, azw, epub
Размер: 10.1 MB

This foundational book presents Start & Grow Your Career In Machine Learning & Data Science. With companies in almost every industry finding ways to adopt Machine Learning, the demand for machine learning engineers and developers is higher than ever. Now is the best time to start considering a career in Machine Learning, and this course is here to guide you. If you’ve picked up this e-book and are interested in a career in Machine Learning, you likely already have an idea of what Machine Learning is, but in case you don’t, let me first present a definition: Machine learning is a field of science in which we use data to teach computers, or machines, how to recognize patterns instead of explicitly programming them to do so.

Название: Perl 6 и Parrot. Справочник
Автор: Эллисон Рэндал, Дэн Сугальски, Леопольд Теч
Издательство: КУДИЦ-Образ
Год: 2005
ISBN: 5-9579-0086-9
Формат: pdf
Страниц: 319
Размер: 21,1 Mb
Язык: Русский

Эта книга посвящена самой последней версии языка, который продолжает развиваться. Описываются синтаксис языка, новые возможности и идеи, рассказывается в какую сторону пойдет развитие. Книга будет полезна широкому кругу IТ-специалистов: программистам, администраторам, менеджерам.

Название: Rust: The Ultimate Beginner's Guide to Learn Rust programming Step by Step
Автор: John Bach
Издательство: Amazon
Год: 2020
Формат: epub/pdf(conv.)
Размер: 1.6 Mb
Язык: English

Rust is a statically and strongly typed systems programming language. statically means that all types are known at compile-time, strongly means that these types are designed to make it harder to write incorrect programs. A successful compilation means you have a much better guarantee of correctness than with a cowboy language like C. systems means generating the best possible machine code with full control of memory use. So the uses are pretty hardcore: operating systems, device drivers and embedded systems that might not even have an operating system.

Название: Hands-on Time Series Analysis with Python: From Basics to Bleeding Edge Techniques
Автор: B.V. Vishwas, Ashish Patel
Издательство: Apress
Год: 2020
Страниц: 420
Язык: английский
Формат: pdf (true), epub
Размер: 40.4 MB

Learn the concepts of time series from traditional to leading-edge techniques. This book uses comprehensive examples to clearly illustrate statistical approaches and methods of analyzing time series data and its utilization in the real world. All the code is available in Jupyter notebooks. You'll begin by reviewing time series fundamentals, the structure of time series data, pre-processing, and how to craft the features through data wrangling. Next, you'll look at traditional time series techniques like ARMA, SARIMAX, VAR, and VARMA using trending framework like StatsModels and pmdarima.

Название: Applied Machine Learning for Health and Fitness: A Practical Guide to Machine Learning with Deep Vision, Sensors and IoT
Автор: Kevin Ashley
Издательство: Apress
Год: 2020
Формат: true pdf/epub
Страниц: 262
Размер: 21.8 Mb
Язык: English

Explore the world of using machine learning methods with deep computer vision, sensors and data in sports, health and fitness and other industries. Accompanied by practical step-by-step Python code samples and Jupyter notebooks, this comprehensive guide acts as a reference for a data scientist, machine learning practitioner or anyone interested in AI applications. These ML models and methods can be used to create solutions for AI enhanced coaching, judging, athletic performance improvement, movement analysis, simulations, in motion capture, gaming, cinema production and more.

Название: Serverless Swift: Apache OpenWhisk for iOS developers
Автор: Marek Sadowski, Lennart Frantzell
Издательство: Apress
Год: 2020
Формат: true pdf/epub/mobi
Страниц: 215
Размер: 12.1 Mb
Язык: English

Decrease development time to market with Serverless Swift?the event-based modern architecture for full stack developers. This book reviews how to use the Apache OpenWhisk framework to enrich your standalone applications with cloud-based functionalities from data sources up to Artificial Intelligence.
You'll leverage serverless in your mobile apps with use case scenarios and gain the skills that will allow you to create robust, performant, secure yet economically viable systems in a cloud native environment.

Название: Cross-Platform GUI Programming with wxWidgets
Автор: Julian Smart, Kevin Hock, Stefan Csomor
Издательство: Prentice Hall
Год: 2006
Формат: pdf
Страниц: 744
Размер: 10 Мб
Язык: English

"This book is the best way for beginning developers to learn wxWidgets programming in C++. It is a must-have for programmers thinking of using wxWidgets and those already using it."

-Mitch Kapor, founder of Lotus Software and the Open Source Applications Foundation

Название: Combinatorial Optimization. Theory and Algorithms
Автор: Bernhard Korte, Jens Vygen
Издательство: Springer
Год: 2018
Формат: pdf
Страниц: 686
Размер: 10 Мб
Язык:

This comprehensive textbook on combinatorial optimization places special emphasis on theoretical results and algorithms with provably good performance, in contrast to heuristics. It is based on numerous courses on combinatorial optimization and specialized topics, mostly at graduate level. This book reviews the fundamentals, covers the classical topics (paths, flows, matching, matroids, NP-completeness, approximation algorithms) in detail, and proceeds to advanced and recent topics, some of which have not appeared in a textbook before.