User:Vishnuswaroopji/Books/Machine Learning

Machine Learning

 * Introduction
 * Machine learning
 * Supervised learning
 * Regression analysis
 * Unsupervised learning
 * Statistical classification
 * Cluster analysis
 * Semi-supervised learning
 * Reinforcement learning


 * Error
 * Statistical learning theory
 * Generalization error
 * Cross-validation (statistics)


 * Hypothesis Testing
 * Null hypothesis
 * Type I and type II errors
 * Statistical significance
 * Statistical hypothesis testing
 * P-value
 * F-distribution
 * F-test
 * F-test of equality of variances
 * Estimation statistics


 * Complexities
 * Bias–variance tradeoff
 * Regularization (mathematics)
 * Analysis of variance


 * Data Pre-processing
 * Data pre-processing
 * Data cleansing
 * Normalization (statistics)
 * Curse of dimensionality
 * Dimensionality reduction
 * Feature selection
 * Feature extraction


 * Classification
 * Linear classifier
 * Fixed effects model
 * Random effects model
 * Mixed model
 * Linear discriminant analysis


 * Regression