Ratings Breakdown
0%
0%
14%
51%
35%
Rated 4.2 by 12 people
Pros from Reviews
- Well-written and self-explained
- Solid introduction to unsupervised learning
- Good examples and robust code
- Structure for learning
- Etiquette and attractive writing
- Jupyter style code and output
- Visualization helps understand algorithms statistically
- Practical solutions for beginners
Cons from Reviews
- Depth of content
- Treatment of theory is hand-wavey
- Redundant code examples
- Incomplete code examples
- Lengthy book
- Lack of information about training and optimization
- Beginners may need to learn coding
- Less information about parameters
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