Advances in Financial Machine Learning

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
You might also be interested in: