INVITED EDITORIAL COMMENT

@article{LopezdePrado2016INVITEDEC,
  title={INVITED EDITORIAL COMMENT},
  author={Marcos M. López de Prado},
  journal={The Journal of Portfolio Management},
  year={2016},
  volume={43},
  pages={5 - 8}
}
Ten Applications of Financial Machine Learning
TLDR
The main conclusion is that there is a strong case for applying ML to current financial problems, and that financial ML has a promising future ahead.
Detection of false investment strategies using unsupervised learning methods
TLDR
An unsupervised learning algorithm is introduced that determines the number of effectively uncorrelated trials carried out in the context of a discovery, critical for computing the familywise false positive probability, and for filtering out false investment strategies.