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Statistics for Machine Learning

You're reading from Statistics for Machine Learning Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R

Product type Paperback

Published in Jul 2017

Publisher Packt

ISBN-13 9781788295758

Length 442 pages

Edition 1st Edition

Languages

Python

Concepts

Machine Learning

Author (1):

Pratap Dangeti

View More author details

Table of Contents (10) Chapters

Preface

1. Journey from Statistics to Machine Learning FREE CHAPTER

2. Parallelism of Statistics and Machine Learning

3. Logistic Regression Versus Random Forest

4. Tree-Based Machine Learning Models

5. K-Nearest Neighbors and Naive Bayes

6. Support Vector Machines and Neural Networks

7. Recommendation Engines

8. Unsupervised Learning

9. Reinforcement Learning

Further reading

There are many classic resources available for reinforcement learning, and we encourage the reader to go through them:

R.S. Sutton and A.G. Barto, Reinforcement Learning: An Introduction. MIT Press, Cambridge, MA, USA, 1998
RL Course by David Silver from YouTube: https://www.youtube.com/watch?v=2pWv7GOvuf0&list=PL7-jPKtc4r78-wCZcQn5IqyuWhBZ8fOxT
Machine Learning (Stanford) by Andrew NG form YouTube (Lectures 16- 20): https://www.youtube.com/watch?v=UzxYlbK2c7E&list=PLA89DCFA6ADACE599
Algorithms for reinforcement learning by Csaba from Morgan & Claypool Publishers
Artificial Intelligence: A Modern Approach 3^rd Edition, by Stuart Russell and Peter Norvig, Prentice Hall

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Authors (1)

Pratap Dangeti

Pratap Dangeti

Pratap Dangeti develops machine learning and deep learning solutions for structured, image, and text data at TCS, analytics and insights, innovation lab in Bangalore. He has acquired a lot of experience in both analytics and data science. He received his master's degree from IIT Bombay in its industrial engineering and operations research program. He is an artificial intelligence enthusiast. When not working, he likes to read about next-gen technologies and innovative methodologies.

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