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User:Centic/Books/Machine learning

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Machine learning

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Machine learning
Computational learning theory
Cluster analysis
Artificial neural network
Supervised learning
Unsupervised learning
Reinforcement learning
Semi-supervised learning
Decision tree learning
Association rule learning
Online machine learning
Statistical classification
Regression analysis
Density estimation
Dimensionality reduction
Anomaly detection
Structured prediction
Learning to rank
Grammar induction
Loss function
List of machine learning concepts
Perceptron
Support vector machine
Backpropagation
Normal distribution
Least squares
Refresh
Feature (machine learning)
Feature learning
Feature vector
Feature engineering
K-nearest neighbors algorithm
K-means clustering
Data mining
Linear classifier
Linear regression
Logistic regression
Overfitting
Markov random field
Markov chain
Markov's inequality
Bayesian network
Dynamic Bayesian network
Recursive Bayesian estimation
Variable-order Bayesian network
Generalized filtering
Principal component analysis