User:Compilation-error/Books/Machine Learning Primer

Machine Learning Primer

 * Machine learning
 * Supervised learning
 * Unsupervised learning
 * Reinforcement learning
 * Association rule learning
 * Decision tree learning
 * Deep learning
 * Inductive logic programming
 * Support vector machine
 * Cluster analysis
 * Bayesian network
 * Feature learning
 * Similarity learning
 * Sparse dictionary learning
 * Genetic algorithm
 * Rule-based machine learning
 * Artificial neural network
 * Artificial neuron
 * Activation function
 * Backpropagation
 * Catastrophic interference
 * Linear separability
 * Learning classifier system
 * False positives and false negatives
 * False positive rate
 * Sensitivity and specificity
 * Naive Bayes classifier
 * Kalman filter
 * Overfitting
 * Receiver operating characteristic
 * Confusion matrix
 * Gini coefficient
 * Sigmoid function
 * Logistic function
 * Hyperbolic function
 * Inverse trigonometric functions
 * Gudermannian function
 * Error function
 * Generalised logistic function
 * Smoothstep
 * Algebraic function
 * Predictive analytics
 * Learning curve
 * K-means clustering
 * Nearest neighbor search
 * K-nearest neighbors algorithm