apply effective learning algorithms to real-world problems using scikit-learn /
First Statement of Responsibility
Gavin Hackeling.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
iv, 221 pages :
Other Physical Details
illustrations ;
Dimensions
24 cm.
SERIES
Series Title
Community experience distilled
GENERAL NOTES
Text of Note
Includes index.
CONTENTS NOTE
Text of Note
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.