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# Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow

by

Key Features
A practical approach to the frameworks of data science, machine learning, and deep learning
Use the most powerful Python libraries to implement machine learning and deep learning
Learn best practices to improve and optimize your machine learning systems and algorithms
Book Description

Machine learning is eating the software world, and now deep

...more## Get A Copy

Kindle Edition, 2nd Edition, 622 pages

Published
September 20th 2017
by Packt Publishing
(first published September 23rd 2015)

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## Community Reviews

Showing 1-30

Start your review of Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow

It gives the mathematical definitions of popular machine learning algorithms and shows you how to implement them. Then it explains how to use them with scikit-learn which has much more efficient implementations.

What is great is that this book has chapters on data cleaning, what to do with missing data, etc. Compliments greatly the Andrew Ng's ML course which lacked lectures about all of these things. ...more

I str ...more

Textbooks in computer science in general, and machine learning in particular, have to walk a delicate line. At one level of high abstraction, everything is mathematical proofs. At a level of low-level cookbookls, it's a matter of just plugging and chugging, treating code as magical invocations without getting at the why. Raschka's book hits the sweet spot between the two exactly, explaining the underlying math, how that math is represented in Pyt ...more

This excellent book is a practical introduction to ML using the Python programming language, along with relevant components of Python’s rich open-sourc ...more

Feb 18, 2018
Aileen
rated it
it was amazing
·
review of another edition

Shelves:
code-and-design,
personal-favorites

I really appreciate the well documented code repository on github. Book was easy to follow despite being relatively math heavy. Explanations on common ML algorithms and clustering analysis were on point and easy to follow. This book is a good reference point for learners.

Apr 12, 2020
MrWeckx
rated it
it was amazing
·
review of another edition

Shelves:
python,
machine-learning

Perfect book for introduction on machine learning to intermediate level. Very comprehensive for graduate or undergraduate students.

I found it to have a great balance between the theoretical math and implementation in Python; the split is somewhere around 20/80 in favour of implementation and actually using the algorithms on real data-sets. If you are trying to get a good understanding of the theory, then this book is a good starting point but you will most definitely need t ...more

In my version of book I've found a bug in code implementation in chapter 3. That leads to wrong conclusion. Hope it's fixed in errata somewhere. ...more

Jul 01, 2017
Mayank Prakash
rated it
really liked it
·
review of another edition

Recommended to Mayank by:
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This is an amazing book!! I mean it does explain what is being done and how its being done!! Nice Nice Book.. Helped a lot in learning.. and is helping as well :-)

topics | posts | views | last activity | |
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Online Course Readings | 1 | 15 | Apr 27, 2016 08:39AM |

## Goodreads is hiring!

Some of my greatest passions are "Data Science" and machine learning. I enjoy everything that involves working with data: The discovery of interesting patterns and coming up with insightful conclusions using techniques from the fields of data mining and machine learning for predictive modeling.

I am a big advocate of working in teams and the concept of "open source." In my opinion, it is a positive ...more

I am a big advocate of working in teams and the concept of "open source." In my opinion, it is a positive ...more

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