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Statistics for Machine Learning

You're reading from  Statistics for Machine Learning

Product type Book
Published in Jul 2017
Publisher Packt
ISBN-13 9781788295758
Pages 442 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Pratap Dangeti Pratap Dangeti
Profile icon Pratap Dangeti

Table of Contents (16) Chapters

Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Journey from Statistics to Machine Learning Parallelism of Statistics and Machine Learning Logistic Regression Versus Random Forest Tree-Based Machine Learning Models K-Nearest Neighbors and Naive Bayes Support Vector Machines and Neural Networks Recommendation Engines Unsupervised Learning Reinforcement Learning

Introduction to reinforcement learning


Reinforcement learning mimics how humans learn: by interacting with environment, repeating actions for which the reward that is received is higher, and avoiding risky moves for which there is a low or negative reward as an outcome of their actions.

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