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User:Bolo1729/Books/Statistics & Machine Learning

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Statistics & Machine Learning

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AdaBoost
Analysis of variance
Association rule learning
Bootstrap aggregating
Cluster analysis
Correlation and dependence
Covariance matrix
Decision tree learning
Independence (probability theory)
Linear discriminant analysis
Machine learning
Multivariate normal distribution
Normally distributed and uncorrelated does not imply independent
Pearson product-moment correlation coefficient
Random variable
Regression analysis
Singular value decomposition
Support vector machine