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MACHINE LEARNING (REINFORCEMENT LEARNING (Genetic Algorithm, A3C, SARSA,…
MACHINE LEARNING
CLASSICAL LEARNING
SUPERVISED
REGRESSION
Linear Regression
Polynomial Regression
Ridge/Lasso Regression
CLASSIFICATION
k-NN
SVM
Decision Trees
Logistic Regresson
Naive Bayes
UNSUPERVISED
Clustering
k-Means
Agglomerative
Mean-Shift
Fuzzy C-Means
DBSCAN
Pattern Search
Euclat
A priori
FP Growth
DIMENSION REDUCTION (generalization)
t-SNE
PCA
LSA
SVD
LDA
REINFORCEMENT LEARNING
Genetic Algorithm
A3C
SARSA
Deep Q-Network (DQN)
Q-Learning
ENSEMBLE METHODS
Stacking
Bagging
Random Forest
Boosting
XG Boost
Cat Boost
Ada Boost
Light GBM
NEURAL NETS AND DEEP LEARNING
Convolutional Neural Networks (CNN)
DCNN
Recurrent Neural Networks (RNN)
LSM
LSTM
GRU
Generative Adversarial Networks (GAN)
Perceptrons (MLP)
Autoencoders
seq2seq