Machine Learning Podcast Learning Notes Apr 17

Shallow algorithms

Supervised
KNN
Decision Trees (supervised, classify/regress)
Random Forests

Unsupervised
K-means -> Clustering
Apriori -> Association rule learning / Market basket
Principle Component Analysis (PCA) -> Dimension Reduction
Gradient Boost

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Reference

Pattern Recognition and Machine Learning

The Elements of Statistical Learning

Machine Learning with R

Supervised and Unsupervised Machine Learning Algorithms

A Tour of Machine Learning Algorithms

Machine Learning Map

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