Python Machine Learning By Example
Third Edition
Build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn
Yuxi (Hayden) Liu
BIRMINGHAM - MUMBAI
Python Machine Learning By Example
Third Edition
Copyright © 2020 Packt Publishing
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Producer: Tushar Gupta
Acquisition Editor – Peer Reviews: Divya Mudaliar
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Indexer: Tejal Daruwale Soni
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First published: May 2017
Second edition: February 2019
Third edition: October 2020
Production reference: 1281020
Published by Packt Publishing Ltd.
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ISBN 978-1-80020-971-8
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Contributors
About the author
Yuxi (Hayden) Liu is a machine learning software engineer at Google. Previously he worked as a machine learning scientist in a variety of data-driven domains and applied his expertise in computational advertising, marketing, and cybersecurity. He is now developing and improving machine learning models and systems for ad optimization on the largest search engine in the world.
He is an education enthusiast, and the author of a series of machine learning books. His first book, the first edition of Python Machine Learning By Example, was ranked the #1 bestseller in Amazon back in 2017 and 2018, and was translated into many different languages. His other books include R Deep Learning Projects, Hands-On Deep Learning Architectures with Python, and PyTorch 1.x Reinforcement Learning Cookbook.
I would like to thank all the great people who made this book possible. Without any of you, this book would only exist in my mind. I would especially like to thank all of my editors at Packt Publishing, as well as my reviewers. Without them, this book would be harder to read and to apply to real-world problems. Last but not least, I'd like to thank all the readers for their support, which encouraged me to write the third edition of this book.
About the reviewers
Juantomás García leads and is the chief envisioning officer for Sngular's Data Science team. Since joining Sngular in 2018, Juantomás has leveraged his extensive experience to harness the potential of new technologies and implement them across the company's solutions and services.
Juantomás is a Google developer expert for cloud and machine learning, a co-author of the software book La Pastilla Roja, and the creator of "AbadIA", the artificial intelligence platform built to solve the popular Spanish game La Abadía del Crimen. He's an expert on free software technologies and has been a speaker at more than 200 international industry events. Among the various positions he has held during his 20-year career, he has been a data solutions manager at Open Sistemas, a chief data officer at ASPgems, and was the president of Hispanilux for seven years.
He studied IT engineering at the Universidad Politécnica de Madrid and plays an active role as a tech contributor and mentor to various academic organizations and startups. He regularly organizes Machine Learning Spain and GDG cloud Madrid meetups, is a mentor at Google Launchpad for entrepreneurs, and is also an advisor to Penn State University on its Deep Learning Hyperspectral Image Classification for EE project.
I want to thank my family for their support when I was working on revisions of this book. Thanks, Elisa, Nico, and Olivia.
Raghav Bali is a senior data scientist at one of the world's largest healthcare organizations. His work involves research and development of enterprise-level solutions based on machine learning, deep learning, and natural language processing for healthcare- and insurance-related use cases. He is also a mentor with Springboard and an active speaker at machine learning and deep learning conferences. In his previous role at Intel, he was involved in enabling proactive data-driven IT initiatives using natural language processing, deep learning, and traditional statistical methods. He has also worked in finance with American Express, working on digital engagement and customer retention solutions.
Raghav is the author of multiple well-received books on machine learning, deep learning, natural language processing, and transfer learning based on Python and R, and produced with leading publishers. His most recent books are Hands-on Transfer Learning with Python, Practical Machine Learning with Python, Learning Social Media Analytics with R, and R Machine Learning by Example.
I would like to take this opportunity to thank my wife, who has been a pillar of support. I would also like to thank my family for always supporting me in all my endeavors. Yuxi (Hayden) Liu is an excellent author, and I would like to thank and congratulate him on his new book. Last but not least, I would like to thank Divya Mudaliar, the whole Expert Network team, and Packt Publishing for the opportunity and their hard work in making this book a success.