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Bachelor Thesis: Machine Learning Overview - Coggle Diagram
Bachelor Thesis: Machine Learning Overview
Deep Learning
Deep Boltzmann Machine (DBM)
Convolutional Neural Network (CNN)
Recurrent neural network (RNN, LSTM)
Stacked Auto-Encoder
Neural network
sensor
Backpropagation algorithm (BP)
Hopfield network
Radial Basis Function Network (RBFN)
Association rule learning
Apriori algorithm
Eclat algorithm
Clustering algorithm
K - means
K - medium number
EM algorithm
Hierarchial clustering
Kernel-based algorithm
Support vector machine (SVM)
Radial Basis Function (RBF)
Linear Discriminate Analysis (LDA)
Bayesian algorithm
Naive Bayes
Gaussian Bayes
Polynomial naive Bayes
AODE (Averaged One-Dependence Estimators)
Bayesian Belief Network
Decision tree algorithm
Classification and Regression Tree (CART)
ID3 algorithm (Iterative Dichotomiser 3)
C4.5 and C5.0
CHAID (Chi-squared Automatic Interaction Detection)
Random forest
Multivariate Adaptive Regression Spline (MARS)
Gradient Boosting Machine (GBM)
Regularization algorithm
Ridge Regression
LASSO (Least Absolute Shrinkage and Selection Operator)
Elastic Net
Minimum Angle Regression (LARS)
Instance-based learning algorithm
K - proximity algorithm (kNN)
Learning vectorization (LVQ)
Self-organizing Mapping Algorithm (SOM)
Local Weighted Learning Algorithm (LWL)
Regression algorithm
Linear regression
Logistic regression
Multiple Adaptive Regression (MARS)
Local scatter smoothing estimate (LOESS)
Dimensionality reduction algorithm
Principal Component Analysis (PCA)
Principal component regression (PCR)
Partial least squares regression (PLSR)
Salmon map
Multidimensional scaling analysis (MDS)
Projection pursuit method (PP)
Linear Discriminant Analysis (LDA)
Mixed Discriminant Analysis (MDA)
Quadratic Discriminant Analysis (QDA)
Flexible Discriminant Analysis (FDA)
Integrated algorithm
Boosting
Bagging
AdaBoost
Stack generalization (mixed)
GBM algorithm
GBRT algorithm
Random forest
Other algorithms
Feature selection algorithm
Performance evaluation algorithm
Natural langauge processing
Computer vision
Recommended system
Reinforcement learning
Migration learning