Adi Polak Scaling Machine Learning with Spark Reviews Summary
Ratings Breakdown
Rated 4.7 by 14 people
Pros from Reviews
- Comprehensive guide
- Real-world examples
- Balanced theory and practice
- Progressive learning approach
- Invaluable resource for ML engineers
- Focus on existing tools
- Accessible writing style
- Strategies for scaling ML
Cons from Reviews
- Lacks structure
- Unclear code examples
Notable Features
Distributed ML
MLlib
TensorFlow
PyTorch
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