Ratings Breakdown
Rated 4.1 by 76 people
Pros from Reviews
- Good hands-on introduction
- Helps understand algorithms better
- Covers a wide range of examples
- Clear and best example code
- Must-have for python data scientists
- Great idea to use Python and NumPy
- Introduces ML algorithms
- Practical approach to learning
Cons from Reviews
- Theoretical explanations lacking
- Code quality issues
- Poorly edited and written
- Figures not in color
- Requires computer to read
- Bugs in the code
- Lacks explanation of numpy and matplotlib
- Does not follow PEP8 coding practices
Notable Features
Paperback
384 pages
Language: English
Best Sellers Rank: #495,657 in Books
Customer Reviews: 4.1
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