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

Amazon.com Price:  $30.13 (as of 12/05/2019 16:14 PST- Details)

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Description

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 The use of 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 with the intention to apply the methodology in plenty of contexts. All examples are taught in the R statistical language, allowing students and professionals to implement these techniques The use of open source tools.

What You’ll be able to Learn

  • Understand the intuition and mathematics that power deep learning models
  • Utilize quite a lot of algorithms The use of 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 fortify their predictive power

Who This Book Is For
Students, researchers, and data scientists who are familiar with programming The use of R. This book also is also of use for many who want to learn how to correctly deploy these algorithms in applications where they would be most useful.

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