Brief Contents of Ensemble Methods for Machine Learning

Ensemble Methods for Machine Learning

by Gautam Kunapuli

Reading Notes:

Part 1: HE BASICS OF ENSEMBLES
1. Ensemble Learning: Hype or Halleleujah?

Part 2: ESSENTIAL ENSEMBLE METHODS
2. Homogeneous Parallel Ensembles: Bagging and Random Forests

  1. Heterogeneous Parallel Ensembles: Combining Strong Learners
  2. Sequential Ensembles: Boosting
  3. Sequential Ensembles: Gradient Boosting
  4. Sequential Ensembles: Newton Boosting

Part 3: ENSEMBLES IN THE WILD: ADAPTING ENSEMBLE METHODS TO YOUR DATA

  1. Learning with Continuous and Count Labels
  2. Learning with Categorical Features
  3. Explaining Your Ensembles
  4. Further Reading
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