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Python Machine Learning
Machine Learning and Deep Learning with Python,
scikit-learn, and TensorFlow
BIRMINGHAM - MUMBAI
Python Machine Learning
Copyright © 2017 Packt Publishing
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First published: September 2015
Second edition: September 2017
Production reference: 3231017
Published by Packt Publishing Ltd.
35 Livery Street
Birmingham B3 2PB, UK.
Huai-En, Sun (Ryan Sun)
Content Development Editor
Tejal Daruwale Soni
About the Authors
Sebastian Raschka, the author of the bestselling book, Python Machine Learning,
has many years of experience with coding in Python, and he has given several
seminars on the practical applications of data science, machine learning, and deep
learning including a machine learning tutorial at SciPy—the leading conference for
scientic computing in Python.
While Sebastian's academic research projects are mainly centered around
problem-solving in computational biology, he loves to write and talk about
data science, machine learning, and Python in general, and he is motivated to
help people develop data-driven solutions without necessarily requiring a machine
His work and contributions have recently been recognized by the departmental
outstanding graduate student award 2016-2017 as well as the ACM Computing
Reviews' Best of 2016 award. In his free time, Sebastian loves to contribute to open
source projects, and the methods that he has implemented are now successfully used
in machine learning competitions, such as Kaggle.
I would like to take this opportunity to thank the great Python
community and developers of open source packages who helped
me create the perfect environment for scientic research and data
science. Also, I want to thank my parents who always encouraged
and supported me in pursuing the path and career that I was so
Special thanks to the core developers of scikit-learn. As a contributor
to this project, I had the pleasure to work with great people who are
not only very knowledgeable when it comes to machine learning but
are also excellent programmers. Lastly, I'd like to thank Elie Kawerk,
who volunteered to review the book and provided valuable feedback
on the new chapters.
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