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Basic Principles Programming & Math Statistics & Data Science Machine Learning Computational Modeling

  1. Basic Principles
  2. Supervised Learning
  3. Unsupervised Learning
  4. Associative Models
  5. Bayesian Models
  6. Neural Networks
  7. Dynamical Systems Models
  8. Agent Based Models
  9. Genetic Algorithms

Machine Learning

  1. Basic Principles
  2. Description here.


  3. Supervised Learning
  4. Description here.


  5. Unsupervised Learning
  6. Description here.


  7. Associative Models
  8. Description here.


  9. Bayesian Models
  10. Description here.


  11. Neural Networks
  12. Description here.


  13. Dynamical Systems Models
  14. Description here.


  15. Agent Based Models
  16. Description here.


  17. Genetic Algorithms
  18. Description here.


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