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Download Book : Machine Learning in Action  By Peter Harrington PDF




Informations about the book:




Title: Machine Learning in Action 

Author:  Peter Harrington

Size10.4 MB

FormatPDF

Year
2012

Pages382


Book Contents:




PART 1 CLASSIFICATION
Machine learning basics 
Classifying with k-Nearest Neighbors 
Splitting datasets one feature at a time: decision trees 
Classifying with probability theory: na├»ve Bayes 
Logistic regression 
Support vector machines 
Improving classification with the AdaBoost meta-algorithm 
PART 2 FORECASTING NUMERIC VALUES WITH REGRESSION
Predicting numeric values: regression
Tree-based regression
PART 3 UNSUPERVISED LEARNING
Grouping unlabeled items using k-means clustering
Association analysis with the Apriori algorithm
Efficiently finding frequent itemsets with FP-growth
PART 4 ADDITIONAL TOOLS
Using principal component analysis to simplify data 
Simplifying data with the singular value decomposition 
Big data and MapReduce





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