Learning From data: Introductory Machine Training Course
3.23 GB | English | MP4 | 640x360 | AAC 291.2Kbit/s 44.1KHz | ~24hours
Genre: Programming, Instructional
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Theoretically course on machine learning from the California University of Technology. Release date in 2012.
Content:
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 nine: 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
+ Lecture Slides
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