Introduction to Machine Learning Lecture 10 Fall 2018
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Machine Learning Lecture 10 Fall 2018 Comprehensive Overview
Decision Trees, Regularization, Overfitting Lecturer: Roni Rosenfeld http://www.cs.cmu.edu/~roni/10601-f17/ For more information about Stanford's Andrew Ng, Adjunct Professor & Kian Katanforoosh, Lecturer - Stanford University http://onlinehub.stanford.edu/ Andrew Ng ...
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Summary & Highlights for Machine Learning Lecture 10 Fall 2018
- The efficient backpropagation learning algorithm. Hidden layers.
- Framework Lecturer: Roni Rosenfeld http://www.cs.cmu.edu/~roni/10601-f17/
- CS188
- ... similar structure and i'll spend some time towards in the latter half of today's
- Contents: Deciding what to try next, Evaluating a Hypothesis, Model Selection and Train Validation, Diagnosing Bias vs Variance, ...
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