User:Bolo1729/Books/Statistics & Machine Learning

Statistics & Machine Learning

 * 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