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Books > Computing & IT > Computer programming > Programming languages
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Introduction to Deep Learning Using R - A Step-by-Step Guide to Learning and Implementing Deep Learning Models Using R (Paperback, 1st ed.)
Loot Price: R2,355
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Introduction to Deep Learning Using R - A Step-by-Step Guide to Learning and Implementing Deep Learning Models Using R (Paperback, 1st ed.)
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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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