Marcos Lopez de Prado Advances in Financial Machine Learning Reviews Summary
Ratings Breakdown
Rated 4.4 by 608 people
Pros from Reviews
- Practical insights on ML trading systems
- Well-researched and well-written
- Covers a wide range of topics
- Provides warnings and traps to avoid
- Introduces new concepts in ML and finance
- Model-agnostic approach
- In-depth coverage of backtesting
- Useful financial features
Cons from Reviews
- Not useful for high-performance computing
- Less useful in later chapters
- Dense and requires looping
- Balanced view between theory and practice
- Not enough focus on theoretical foundations
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