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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

About the Author

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.

First and foremost, I would like to thank my mom, Lakshmi, for her support throughout my career and in writing this book. She has been my inspiration and motivation for continuing to improve my knowledge and helping me move ahead in my career. She is my strongest supporter, and I dedicate this book to her. I also thank my family and friends for their encouragement, without which it would not be possible to write this book. I would like to thank my acquisition editor, Aman Singh, and content development editor, Mayur Pawanikar, who chose me to write this book and encouraged me constantly throughout the period of writing with their invaluable feedback and input.

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Statistics for Machine Learning
Published in: Jul 2017 Publisher: Packt ISBN-13: 9781788295758
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