EAN: 9781484227336

INTRODUCTION TO DEEP LEARNING USING R - TAWEH B...

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.

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