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Mastering Machine Learning with R - Second Edition
book

Mastering Machine Learning with R - Second Edition

by Cory Lesmeister, Doug Ortiz, Vikram Dhillon, Miroslav Kopecky
April 2017
Beginner to intermediate
420 pages
9h 58m
English
Packt Publishing
Content preview from Mastering Machine Learning with R - Second Edition

Introduction to neural networks

Neural network is a fairly broad term that covers a number of related methods, but in our case, we will focus on a feed forward network that trains with backpropagation. I'm not going to waste our time discussing how the machine learning methodology is similar or dissimilar to how a biological brain works. We only need to start with a working definition of what a neural network is. I think the Wikipedia entry is a good start.

In machine learning and cognitive science, Artificial neural networks (ANNs) are a family of statistical learning models inspired by biological neural networks (the central nervous systems of animals, in particular, the brain) and are used to estimate or approximate functions that can ...

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Publisher Resources

ISBN: 9781787287471