Learning From Data [Machine Learning]

Learning from Data lectures by Professor Yaser Abu-Mostafa.

Just the main topics, these are composed of sub-topics on the lecture page (above):

  • Bayesian Learning
  • Bias-Variance Tradeoff
  • Bin Model
  • Data Snooping
  • Ensemble Learning
  • Error Measures
  • Gradient Descent
  • Learning Curves
  • Learning Diagram
  • Learning Paradigms
  • Linear Classification
  • Linear Regression
  • Logistic Regression
  • Netflix Competition
  • Neural Networks
  • Nonlinear Transformation
  • Occam’s Razor
  • Overfitting
  • Radial Basis Functions
  • Regularization
  • Sampling Bias
  • Support Vector Machines
  • Validation
  • VC Dimension

The textbook by the same title: Learning from Data.

The lectures look like a good place to get lost. For days!

One Response to “Learning From Data [Machine Learning]”

  1. […] I prefer the longer lecture style over shorter snippets, such as were used for Learning from Data (an earlier […]