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Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow, 2nd Edition by [Raschka, Sebastian, Mirjalili, Vahid]
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Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow, 2nd Edition 2nd Edition, Kindle Edition

5.0 out of 5 stars 4 customer reviews

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Product description

Review

"I bought the first version of this book, and now also the second. The new version is very comprehensive. If you are using Python - it's almost a reference. I also like the emphasis on neural networks (and TensorFlow) - which (in my view) is where the Python community is heading.

I am also planning to use this book in my teaching at Oxford University. The data pre-processing sections are also good. I found the sequence flow slightly unusual - but for an expert level audience, it's not a major issue."

Ajit Jaokar

Data Science for IoT Course Creator and Lead Tutor at the University of Oxford / Principal Data Scientist

About the Author

Sebastian Raschka

Sebastian Raschka, 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 scientific 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 learning background. 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.


Product details

  • Format: Kindle Edition
  • File Size: 37133.0 KB
  • Print Length: 622 pages
  • Publisher: Packt Publishing; 2 edition (20 Sept. 2017)
  • Sold by: Amazon Media EU S.à r.l.
  • Language: English
  • ASIN: B0742K7HYF
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Screen Reader: Supported
  • Enhanced Typesetting: Enabled
  • Average Customer Review: 5.0 out of 5 stars 4 customer reviews
  • Amazon Bestsellers Rank: #28,882 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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Top customer reviews

8 January 2018
Format: Kindle Edition|Verified Purchase
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4 December 2017
Format: Paperback|Verified Purchase
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12 October 2017
Format: Paperback|Verified Purchase
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26 January 2018
Format: Paperback
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Most helpful customer reviews on Amazon.com

Amazon.com: 4.1 out of 5 stars 21 reviews
Greg Hecht
5.0 out of 5 starsExcellent, concept-math-code end to end for software engineers
25 September 2017 - Published on Amazon.com
Format: Paperback|Verified Purchase
16 people found this helpful.
Harlan R. Seymour
5.0 out of 5 starsGreat book on Python and Machine Learning
11 January 2018 - Published on Amazon.com
Format: Paperback|Verified Purchase
3 people found this helpful.
kevinvon
3.0 out of 5 starsThe logic and description of the book is not always ...
24 February 2018 - Published on Amazon.com
Format: Paperback|Verified Purchase
Hayong Yun
5.0 out of 5 starsGreat book! One of my key references in deep ...
26 December 2017 - Published on Amazon.com
Format: Paperback|Verified Purchase
3 people found this helpful.
geek
5.0 out of 5 starsGreat book - detailed and practical.
5 December 2017 - Published on Amazon.com
Format: Paperback|Verified Purchase
4 people found this helpful.
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