Machine learning and math

  1. 1.
    Time series
    Autocorrelation Heteroskedacity
  2. 2.
    Linear algebra
    Eigenvalues Determinants SVD singular value decomposition
  3. 3.
    Recurrent neural networks
  4. 4.
    Time delayed neural networks
  5. 5.
    Signal processing tools
  6. 6.
    Server setups
  7. 7.
    Turn mp3 into features
  8. 8.
    Probability space
  9. 9.
    Stochastic process
  10. 10.
    Moment(math)
  11. 11.
  12. 12.
    Ceiling analysis
  13. 13.
    Artificial data creation