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Machine Learning Course - CS 156

5.0 (3)
23 learners

What you'll learn

This course includes

  • 23.5 hours of video
  • Certificate of completion
  • Access on mobile and TV

Course content

1 modules • 18 lessons • 23.5 hours of video

Machine Learning Course - CS 156

18 lessons • 23.5 hours
  • Lecture 01 - The Learning Problem01:21:28
  • Lecture 02 - Is Learning Feasible?01:16:49
  • Lecture 03 -The Linear Model I01:19:44
  • Lecture 04 - Error and Noise01:18:22
  • Lecture 05 - Training Versus Testing01:16:58
  • Lecture 06 - Theory of Generalization01:18:12
  • Lecture 07 - The VC Dimension01:13:31
  • Lecture 08 - Bias-Variance Tradeoff01:16:51
  • Lecture 09 - The Linear Model II01:27:14
  • Lecture 10 - Neural Networks01:25:16
  • Lecture 11 - Overfitting01:19:49
  • Lecture 12 - Regularization01:15:14
  • Lecture 13 - Validation01:26:12
  • Lecture 14 - Support Vector Machines01:14:16
  • Lecture 15 - Kernel Methods01:18:19
  • Lecture 16 - Radial Basis Functions01:22:08
  • Lecture 17 - Three Learning Principles01:16:18
  • Lecture 18 - Epilogue01:09:28

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