learning lecture linear

Pick anything below and it plays in the bar at the foot of the window — and keeps playing while you go on browsing the directory.

1. 1▶Applied Machine Learning 2019 - Lecture 15 - Clustering and Mixture modelsApplied Machine Learning - Spring 2019Notes
   +Watch later
2. 2▶Applied Machine Learning 2019 - Lecture 14 - Dimensionality ReductionApplied Machine Learning - Spring 2019Notes
   +Watch later
3. 3▶Applied Machine Learning 2019 - Lecture 13 - Parameter Selection and Automatic Machine LearningApplied Machine Learning - Spring 2019Notes
   +Watch later
4. 4▶Applied Machine Learning 2019 - Lecture 12 - Model Interpretration and Feature SelectionApplied Machine Learning - Spring 2019Notes
   +Watch later
5. 5▶Applied Machine Learning 2019 - Lecture 11 - Imbalanced dataApplied Machine Learning - Spring 2019Notes
   +Watch later
6. 6▶Applied Machine Learning 2019 - Lecture 10 - Model EvaluationApplied Machine Learning - Spring 2019Notes
   +Watch later
7. 7▶Applied Machine Learning 2019 - Lecture 09 - Gradient boosting; CalibrationApplied Machine Learning - Spring 2019Notes
   +Watch later
8. 8▶Applied Machine Learning 2019 - Lecture 08 - Trees, Forests and EnsemblesApplied Machine Learning - Spring 2019Notes
   +Watch later
9. 9▶Applied Machine Learning 2019 - Lecture 07 - Linear Models for Classifications, SVMsApplied Machine Learning - Spring 2019Notes
   +Watch later
10. 10▶Applied Machine Learning 2019 - Lecture 06 - Linear Models for RegressionApplied Machine Learning - Spring 2019Notes
    +Watch later