Introduction to Deep Learning Using R

A Step-by-Step Guide to Learning and Implementing Deep Learning Models Using R

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Business & Finance, Industries & Professions, Industries
Cover of the book Introduction to Deep Learning Using R by Taweh Beysolow II, Apress
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Author: Taweh Beysolow II ISBN: 9781484227343
Publisher: Apress Publication: July 19, 2017
Imprint: Apress Language: English
Author: Taweh Beysolow II
ISBN: 9781484227343
Publisher: Apress
Publication: July 19, 2017
Imprint: Apress
Language: English

Understand deep learning, the nuances of its different models, and where these models can be applied.

The abundance of data and demand for superior products/services have driven the development of advanced computer science techniques, among them image and speech recognition. Introduction to Deep Learning Using R provides a theoretical and practical understanding of the models that perform these tasks by building upon the fundamentals of data science through machine learning and deep learning. This step-by-step guide will help you understand the disciplines so that you can apply the methodology in a variety of contexts. All examples are taught in the R statistical language, allowing students and professionals to implement these techniques using open source tools.

What You'll Learn

  • Understand the intuition and mathematics that power deep learning models

  • Utilize various algorithms using the R programming language and its packages

  • Use best practices for experimental design and variable selection

  • Practice the methodology to approach and effectively solve problems as a data scientist

  • Evaluate the effectiveness of algorithmic solutions and enhance their predictive power

Who This Book Is For

Students, researchers, and data scientists who are familiar with programming using R. This book also is also of use for those who wish to learn how to appropriately deploy these algorithms in applications where they would be most useful.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Understand deep learning, the nuances of its different models, and where these models can be applied.

The abundance of data and demand for superior products/services have driven the development of advanced computer science techniques, among them image and speech recognition. Introduction to Deep Learning Using R provides a theoretical and practical understanding of the models that perform these tasks by building upon the fundamentals of data science through machine learning and deep learning. This step-by-step guide will help you understand the disciplines so that you can apply the methodology in a variety of contexts. All examples are taught in the R statistical language, allowing students and professionals to implement these techniques using open source tools.

What You'll Learn

Who This Book Is For

Students, researchers, and data scientists who are familiar with programming using R. This book also is also of use for those who wish to learn how to appropriately deploy these algorithms in applications where they would be most useful.

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