User:Shuenlyu/Books/machine learning turorial

shuenlyu

 * Outline of machine learning
 * Deep learning
 * Supervised learning
 * Semi-supervised learning
 * Support vector machine
 * Perceptron
 * Linear classifier
 * Naive Bayes classifier
 * Random forest
 * Feature (machine learning)
 * Decision tree
 * Boosting (machine learning)
 * Decision tree learning
 * Multinomial logistic regression
 * Ensemble learning
 * AdaBoost
 * Gradient boosting
 * Weka (machine learning)
 * Logistic regression
 * Regression analysis
 * Regularization (mathematics)
 * Linear regression
 * Unsupervised learning
 * Artificial neural network
 * Gradient descent
 * Overfitting
 * Statistical classification
 * Computer vision
 * Backpropagation
 * Loss function
 * Algorithm
 * Dependent and independent variables
 * Pattern recognition
 * Feature vector
 * Prior probability
 * Dot product
 * Data mining
 * Artificial intelligence
 * Normal distribution
 * Probability distribution
 * Machine learning
 * Cluster analysis
 * Principal component analysis