/2016.cnea.ml

Primary LanguageJupyter Notebook

2016 Machine Learning

Centro Atómico Bariloche - Buenos Aires

PDF Presentación

Contenidos

  1. Mathematical optimization and symbolic computing
  2. Linear Regression
  3. Logistic Regression
  4. Neural Networks
  5. Regularization and performance evaluation
  6. Kernel methods
  7. Ensemble methods
  8. Learning representations
  9. Deep learning
  10. Large scale ML with Spark