Paperback: 305 pages
Publisher: Packt Publishing - ebooks Account; 2 edition (March 31, 2015)
Product Dimensions: 7.5 x 0.7 x 9.2 inches
Shipping Weight: 1.6 pounds (View shipping rates and policies)
Average Customer Review: 3.2 out of 5 stars See all reviews (5 customer reviews)
Best Sellers Rank: #364,966 in Books (See Top 100 in Books) #59 in Books > Computers & Technology > Web Development & Design > User Generated Content #262 in Books > Computers & Technology > Databases & Big Data > Data Processing #321 in Books > Computers & Technology > Programming > Languages & Tools > Python
Wishing to learn Python's machine-learning toolkit - I am an emigrant from R Country - I rounded up several relevant books, and set out to narrow the field to one or two suitable for further study. My haul included (in no particular order)"Machine Learning in Python" by Bowles, published in 2015 by Wiley, 360 pages, $25 for the cheapest hardcopy now available from (including shipping)"Designing Machine Learning Systems with Python" by Julian, 2016, Packt, 232 pages, $42"Mastering Python for Data Science" by Madhavan, 2015, Packt, 294 pages, $39"Learning Data Mining with Python" by Layton, 2015, 369 pages, $43"Python Data Science Cookbook" by Subramanian, 2015, 347 pages, $48"Data Science From Scratch" by Grus, 2015, 330 pages, $24"Learning scikit-learn" by Moncecchi and Garreta, 2013, 118 pages, $28"Building Machine Learning Systems with Python" by Coelho and Richert, 2015, 305 pages, $49"Python Machine Learning" by Raschka, 2015, 454 pages, $34The whittling-down turned out to be harder than expected: Python titles are better than R counterparts, and Madhavan's book alone was easy to dismiss. Subramanian, Moncecchi-Garreta and Julian did not make the cut based on comparison with alternatives, but weren't terrible. Grus is the beginner's best bet - beginners can stop reading here - while Bowles is a book which I like a lot, but which may be a bit too specialist. As a reviewer, thinking about what other "intermediate" readers might find useful, I end up pointing to the trio of Raschka, Layton and Coelho-Richert as the books worth choosing from.
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