Ratings Breakdown
Rated 4.6 by 351 people
Pros from Reviews
- Hands-on learning approach
- Comprehensive ML overview
- Engaging explanations
- Covers wide range of topics
- Good balance of theory/practice
- Recent ML topics included
- Helpful GitHub source codes
- Intuitive understanding of algorithms
Cons from Reviews
- Poor print quality
- Black and white pages
- Inconsistent concept relevance
- Bad page cutting
- Not deep enough on PyTorch
Notable Features
Deep Learning Techniques
Latest PyTorch Version
Practical Examples
Comprehensive Coverage
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