Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition 3rd Edition, Kindle Edition

4.4 out of 5 stars 137 ratings
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ISBN-13: 978-1789955750
ISBN-10: 1789955750
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From the Publisher

Editorial Reviews

Review

"Python Machine Learning 3rd edition is a very useful book for machine learning beginners all the way to fairly advanced readers, thoroughly covering the theory and practice of ML, with example datasets, Python code, and good pointers to the vast ML literature about advanced issues."

--

Alex Martelli, Python Software Foundation Fellow, Co-author of Python Cookbook and Python in a Nutshell



"A brilliantly approachable introduction to machine learning with Python. Raschka and Mirjalili break difficult concepts down into language the layperson can easily understand while placing these examples within real-world contexts. A worthy addition to your machine learning library!"

--

Dr Kirk Borne, Principal Data Scientist, Data Science Fellow, and Executive Advisor at Booz Allen Hamilton, and co-author of Ten Signs of Data Science Maturity



"Python Machine Learning, Third Edition is a highly practical, hands-on book that covers the field of machine learning, from theory to practice. I strongly recommend it to any practitioner who wishes to become an expert in machine learning. Excellent book!"

--

Sebastian Thrun, CEO of Kitty Hawk Corporation, and chairman and co-founder of Udacity

--This text refers to the paperback edition.

About the Author

Sebastian Raschka is an Assistant Professor of Statistics at the University of Wisconsin-Madison focusing on machine learning and deep learning research. Some of his recent research methods have been applied to solving problems in the field of biometrics for imparting privacy to face images. Other research focus areas include the development of methods related to model evaluation in machine learning, deep learning for ordinal targets, and applications of machine learning to computational biology.

Vahid Mirjalili obtained his Ph.D. in mechanical engineering working on novel methods for large-scale, computational simulations of molecular structures. Currently, he is focusing his research efforts on applications of machine learning in various computer vision projects at the Department of Computer Science and Engineering at Michigan State University. He recently joined 3M Company as a research scientist, where he uses his expertise and applies state-of-the-art machine learning and deep learning techniques to solve real-world problems in various applications to make life better.

--This text refers to the paperback edition.

Product details

  • Publication Date : December 12, 2019
  • File Size : 24056 KB
  • Print Length : 1079 pages
  • Word Wise : Not Enabled
  • Publisher : Packt Publishing; 3rd Edition (December 12, 2019)
  • Language: : English
  • ASIN : B07VBLX2W7
  • Text-to-Speech : Enabled
  • X-Ray : Not Enabled
  • Enhanced Typesetting : Enabled
  • Lending : Not Enabled
  • Customer Reviews:
    4.4 out of 5 stars 137 ratings

Customer reviews

4.4 out of 5 stars
4.4 out of 5
137 global ratings
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Reviewed in the United States on January 20, 2020
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Reviewed in the United States on December 25, 2019
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Top reviews from other countries

Jason James
1.0 out of 5 stars Text is highly readble but the coded examples are very frustrating
Reviewed in the United Kingdom on January 5, 2020
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8 people found this helpful
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aadm
3.0 out of 5 stars Excellent content, awful print quality
Reviewed in Italy on February 7, 2020
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6 people found this helpful
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Andrea
4.0 out of 5 stars Ottimi contenuti, bassa qualità di stampa
Reviewed in Italy on January 4, 2020
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Zuhret B.
4.0 out of 5 stars Inhalt sehr gut! Qualität ausreichend.
Reviewed in Germany on February 26, 2020
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Sourcerer
2.0 out of 5 stars Muy mala impresión en papel
Reviewed in Spain on January 21, 2020
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