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Book Cover
E-book
Author Claster, William B

Title Mathematics and Programming for Machine Learning with R From the Ground Up
Published Milton : Taylor & Francis Group, 2020

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Description 1 online resource (431 p.)
Contents Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- List of Figures -- List of Tables -- Preface -- Acknowledgments -- Author -- 1 Functions Tutorial -- 2 Logic and R -- 3 Sets with R: Building the Tools -- 4 Probability -- 5 Naïve Rule -- 6 Complete Bayes -- 7 Naïve Bayes Classifier -- 8 Stored Model for Naïve Bayes Classifier -- 9 Review of Mathematics for Neural Networks -- 10 Calculus -- 11 Neural Networks -- Feedforward Process and Backpropagation Process -- 12 Programming a Neural Network Using OOP in R -- 13 Adding in a Bias Term
14 Modular Version of Neural Networks for Deep Learning -- 15 Deep Learning with Convolutional Neural Networks -- 16 R Packages for Neural Networks, Deep Learning, and Naïve Bayes -- Index
Notes Description based upon print version of record
Subject Machine learning.
R (Computer program language)
Programming (Mathematics)
Machine learning
Programming (Mathematics)
R (Computer program language)
Form Electronic book
ISBN 9781000196979
1000196976