apply effective learning algorithms to real-world problems using scikit-learn /
Gavin Hackeling.
iv, 221 pages :
illustrations ;
24 cm.
Community experience distilled
Includes index.
The fundamentals of machine learning -- Linear regression -- Feature extraction and preprocessing -- From linear regression to logistic regression -- Nonlinear classification and regression with decision trees -- Clustering with K-means -- Dimensionality reduction with PCA -- The perceptron -- From the perceptron to support vector machines -- From the perceptron to artificial neural networks.