Mapa del
Machine
Learning
Transformers
Denoising
LSM
LSTM
Radial Basis Function
Neural Networks (RBFNN)
Contractive
Seq2Seq
Variational
Sparse
Generative Adversarial
Networks (GAN)
GRU
Recurrent Neural
Networks (RNN)
Vec2Seq
Undercomplete
Feed Forward NN
Convolutional Neural
Networks (CNN)
Sec2Vec
Autoencoders
Genetic Algorithm
Modular Neural
Networks
Deep Learning
Multi-​Layer
Perceptron
Artificial Neural
Networks
SARSA
XGBoost
AdaBoost
Temporal Difference
LightGBM
Ensemble
Methods
Bagging
Random Forest
Stacking
Q-​Learning
Classic/Traditional
Machine Learning
Naive Bayes
PCA
Supervised Learning
kNN
LDA
QDA
Unsupervised
Learning
Classification
Support Vector
Machines
SVD
Dimensionality
Reduction and
Visualization
k-​Means
Linear
Regression
Logistic Regression
CatBoost
Boosting
MACHINE
LEARNING
Reinforcement
Learning
Deep-​Q Network
Decision Tree
GradientBoost
Polynomial
Regression
Regression
ElasticNet
Clustering
Ridge
LSA
Pattern Search
Apriori
LLE
Fuzzy C-​Means
t-​SNE
Lasso
DBSCAN
Mean Shift
Eucat
FP-​Growth