KDnuggets Home » News :: 2013 :: Apr :: Courses, Events :: Caltech free online course: Learning from Data ( 13:n09 )

Caltech free online course: Learning from Data

          

Free, introductory Machine Learning online course, taught by a top-rated Caltech professor. Lectures recorded from a live broadcast, including QnA.

Learning from DataLearning From Data:

Caltech Machine Learning course

A real Caltech course, not a watered-down version

  • Free, introductory Machine Learning online course (MOOC)
  • Taught by Caltech Professor Yaser Abu-Mostafa [article]
  • Lectures recorded from a live broadcast, including Q&A
  • Prerequisites: Basic probability, matrices, and calculus
  • Homeworks with online grading and ranking
  • Discussion forum for participants
  • Statement of Completion issued free of charge

REGISTER NOW (free)

First Anniversary Session (April 2 to June 11, 2013)

Caltech course

You can also offer the course at your university via self-service or full-service.

The 18 lectures are about 60 minutes each plus Q&A.

  • Lecture 1: The Learning Problem
  • Lecture 2: Is Learning Feasible?
  • Lecture 3: The Linear Model I
  • Lecture 4: Error and Noise
  • Lecture 5: Training versus Testing
  • Lecture 6: Theory of Generalization
  • Lecture 7: The VC Dimension
  • Lecture 8: Bias-Variance Tradeoff
  • Lecture 9: The Linear Model II
  • Lecture 10: Neural Networks
  • Lecture 11: Overfitting
  • Lecture 12: Regularization
  • Lecture 13: Validation
  • Lecture 14: Support Vector Machines
  • Lecture 15: Kernel Methods
  • Lecture 16: Radial Basis Functions
  • Lecture 17: Three Learning Principles
  • Lecture 18: Epilogue

Register and learn more at work.caltech.edu/telecourse


KDnuggets Home » News :: 2013 :: Apr :: Courses, Events :: Caltech free online course: Learning from Data ( 13:n09 )