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

4.2 out of 5 stars 31 customer reviews
ISBN-13: 978-1787125933
ISBN-10: 1787125939
Why is ISBN important?
ISBN
This bar-code number lets you verify that you're getting exactly the right version or edition of a book. The 13-digit and 10-digit formats both work.
Scan an ISBN with your phone
Use the Amazon App to scan ISBNs and compare prices.
Kindle App Ad
Buy
$19.79
eBook features:
  • Highlight, take notes, and search in the book
  • Length: 622 pages
  • Enhanced Typesetting: Enabled
  • Page Flip: Enabled
  • Matchbook Price: $2.99 What's this?
    For thousands of qualifying books, your past, present, and future print-edition purchases now lets you buy the Kindle edition for $2.99 or less. (Textbooks available for $9.99 or less.)
    • Thousands of books are eligible, including current and former best sellers.
    • Look for the Kindle MatchBook icon on print and Kindle book detail pages of qualifying books. You can also see more Kindle MatchBook titles here or look up all of your Kindle MatchBook titles here.
    • Read the Kindle edition on any Kindle device or with a free Kindle Reading App.
    • Print edition must be purchased new and sold by Amazon.com.
    • Gifting of the Kindle edition at the Kindle MatchBook price is not available.
    Learn more about Kindle MatchBook.
  • Due to its large file size, this book may take longer to download
Sold by: Amazon Digital Services LLC
Digital List Price: $31.99

Deliver to your Kindle or other device


Buy for others

Give as a gift or purchase for a team or group. Learn more

Buying and sending eBooks to others


Single copy
(Sent by Amazon)
Amazon emails the eBook to a recipient on your behalf.
Learn more

Multiple copies
(Send on your own)
You send redemption links to your recipients.
Learn more


These ebooks can only be redeemed by recipients in the US. Redemption links and eBooks cannot be resold.

Quantity:
This item has a maximum order quantity limit.
See all 2 formats and editions Hide other formats and editions
Price
New from Used from
Kindle
$19.79

"Neverworld Wake" by Marisha Pessl
Read the absorbing new psychological suspense thriller from acclaimed New York Times bestselling author Marisha Pessl. Learn more
click to open popover

Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required.

  • Apple
  • Android
  • Windows Phone
  • Android

To get the free app, enter your mobile phone number.


Try Kindle Countdown Deals
Explore limited-time discounted eBooks. Learn more.

From the Publisher


Editorial Reviews

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, 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.

Vahid Mirjalili obtained his PhD 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.

Vahid picked Python as his number-one choice of programming language, and throughout his academic and research career he has gained tremendous experience with coding in Python. He taught Python programming to the engineering class at Michigan State University, which gave him a chance to help students understand different data structures and develop efficient code in Python.

While Vahid's broad research interests focus on deep learning and computer vision applications, he is especially interested in leveraging deep learning techniques to extend privacy in biometric data such as face images so that information is not revealed beyond what users intend to reveal. Furthermore, he also collaborates with a team of engineers working on self-driving cars, where he designs neural network models for the fusion of multispectral images for pedestrian detection.


Product details

  • File Size: 37133 KB
  • Print Length: 622 pages
  • Publisher: Packt Publishing; 2 edition (September 20, 2017)
  • Publication Date: September 20, 2017
  • Sold by: Amazon Digital Services LLC
  • Language: English
  • ASIN: B0742K7HYF
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Lending: Not Enabled
  • Screen Reader: Supported
  • Enhanced Typesetting: Enabled
  • Amazon Best Sellers Rank: #48,181 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
  • Would you like to tell us about a lower price?


Customer Reviews

Rated by customers interested in
Data Mining
4.4 out of 5 stars
4.4 out of 5 stars
Machine Learning
4.1 out of 5 stars
4.1 out of 5 stars
Math Books
4.4 out of 5 stars
4.4 out of 5 stars

Read reviews that mention

Top customer reviews

March 12, 2018
Format: Paperback|Verified Purchase
11 people found this helpful
|Comment|Report abuse
September 25, 2017
Format: Paperback|Verified Purchase
21 people found this helpful
|Comment|Report abuse
December 5, 2017
Format: Paperback|Verified Purchase
6 people found this helpful
|Comment|Report abuse
January 11, 2018
Format: Paperback|Verified Purchase
5 people found this helpful
|Comment|Report abuse
December 26, 2017
Format: Paperback|Verified Purchase
4 people found this helpful
|Comment|Report abuse
May 20, 2018
Format: Kindle Edition|Verified Purchase
One person found this helpful
|Comment|Report abuse
February 17, 2018
Format: Paperback|Verified Purchase
5 people found this helpful
|Comment|Report abuse
February 2, 2018
Format: Paperback|Verified Purchase
6 people found this helpful
|Comment|Report abuse

Most recent customer reviews

Set up an Amazon Giveaway

Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow, 2nd Edition
Amazon Giveaway allows you to run promotional giveaways in order to create buzz, reward your audience, and attract new followers and customers. Learn more about Amazon Giveaway
This item: Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow, 2nd Edition