machine learning basic

from machine learning in action
Supervised learning tasks

Classification Regression
k-Nearest Neighbors Linear
Naive Bayes Locally weighted linear
Support vector machines Ridge
Decision trees Lasso

Unsupervised learning tasks

Clustering Density estimation
k-Means Expectation maximization
DBSCAN Parzen window
Table 1.2 Common
algorithms used to perform
classification, regression,
clustering, and density
estimation tasks