User:Jayvanzyl/Books/Machine Learning Giuide

The basic constructs in Machine Learning

 * Introduction
 * Outline of machine learning
 * Computational learning theory
 * Machine learning


 * Learning Types
 * Unsupervised learning
 * Supervised learning
 * Reinforcement learning


 * Desired Outputs
 * Statistical classification
 * Regression analysis
 * Cluster analysis
 * Density estimation
 * Dimensionality reduction


 * Related Concepts
 * Artificial intelligence
 * Data mining
 * Data analysis
 * Predictive analytics
 * Recommender system
 * Predictive modelling
 * Probability


 * Algorithm Concepts
 * Decision tree learning
 * Logistic regression
 * Linear regression
 * K-nearest neighbors algorithm
 * K-means clustering
 * Naive Bayes classifier
 * Bayesian network
 * Random forest
 * Gradient boosting
 * Deep learning
 * Principal component analysis
 * Anomaly detection
 * Support vector machine
 * Coefficient of determination