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  1. #Machine Learning

Intro alghorithms

Giving the computer system to "learn" using statistical techniques

PreviousIntro to MLNext1. Supervised Learning

Last updated 6 years ago

A Tour of ML Alghorithms ​Machine Learning Mindmap​

​Machine Learning Alghorithms​

Deep Learning:

Deep Belief Network (DBN)

Deep Boltzmann Machine (DBM)

Stacked Auto Encoder

Convolutional Neural Network (CNN)

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Decision Tree:

Classification & Regression Tree (CART)

M5

C4.5

C5.0

Decision Stump

Conditional Decision Trees

Iterative Dichotomiser 3 (ID3)

Chi-squared Automation interaction Detection (CHAID)

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Bayesian

Gaussian Naive Bayes

Bayesian Network (BN)

Bayesian Belief Network (BBN)

Naive Bayes

Multinomial Naive Bayes

Average One Dependence Estimators (AODE)

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Clustering:

K-Means

K-Medians

Expectation Maximization

Hierarchical Clustering

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Regression

Linear Regression

Logistic Regression

Stepwise regression

Ordinary Least Square Regression (OLSR)

Multivariate Adaptive Regression Splines (MARS)

Locally Estimated Scatterplot Smoothing (LOESS)

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Neural Networks

Perceptron

Hopfield Network

Back-Propagation

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Dimensionality Reduction

Multidimensional Scalling (MDS)

Linear Discriminant Analysis (LDA)

Flexible Discriminant Analysis (FDA)

Principal Component Regression (PCR)

Mixture Discriminant Analysis (MDA)

Regularized Disriminant Analysis (RDA)

Quadratic Discriminant Analysis (QDA)

Partial Least Squares Discriminant Analysis

Projection Pursuit

Sammon Mapping

Partial Least Squares Regression (PLSR)

Principal Component Analysis (PCA)

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Instance Based

K-Nearest Neighbour (kNN)

Learning Vector Quantization (LVQ)

Self Organizing Map (SOM)

Locally Weighted Learning (LWL)

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Regularization

Ridge Regression

Least Absolute Shrinkage and Selection Operator (LASSO)

Elastic Net

Least Angle Regression (LARS)

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Rule System

Cubist

One Rule (OneR)

Zero Rule (ZeroR)

Repeated Incremental Pruning to Produce Error Reduction (RIPPER)

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Ensemble

Random Forest

Gradient Boosting Machines (GBM)

Boosting

Bootstrapped Aggregation (Bagging)

AdaBoost

Stacked Generalization (Blending)

Gradient Boosted Regression Trees (GBRT)

Radial Basis Function Network (RBFN)

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