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Mastering Predictive Analytics with R - Second Edition by Rui Miguel Forte, James D. Miller

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Chapter 14. Deep Learning

The purpose of this chapter is to tackle the very important topic of deep learning and the how and why of how it has been growing in importance to the statistical field in recent years.

We will start by providing a bit of an explanation of what machine learning is then move on with some discussion around what deep learning is, how it compares to machine learning, and the reasoning behind how it has been continually growing in importance almost day by day. For clarification of the concepts, we will then present two hallmark sample use cases: word embedding with some talk about natural language processing or NLP application logic, and recurrent neural networks (RNNs) which is an interesting and more advanced and efficient ...

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