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AI (Unsupervised, Supervised, Reinforcement) - Coggle Diagram
AI
Unsupervised
Groups similar items
Clustering
Partition based clustering
K-means
Generalization
K-medoid
Density-based
DBSCAN
Reduce the number of variable from a dataset while retaining important informations
Dimension Reduction
Non linear
T-SNE
Umap
Linear
PCA
Generate new data instances
Generative Models
Latent Dirichlet association
Gaussian Mixture Model
Detects unusual data in the dataset
Anomaly detection
One-Class SVM
Isolation Forest
Uses multiple layers of operations
Neural networks
Generative Adversarial networks (GAN)
Autoencoders
Variationnal autoencoder
Supervised
measure the limit between classes
Discriminative
KNN (K nearest neighbors)
Weighted KNN
Radius KNN
Logistic regression
Neural Networks (generalization of logistic regression)
Deep learning
Recurrent neural networks
CNN (Convolutionnal Neural Networks)
Shallow networks
Measure the co distribution to generate new data
Generative
Naive Bayes
Linear discriminant analysis
Links variable by giving value
Regression
Non linear
Polynomial regression
Linear
Lasso
Ridge
Ensemble Algorithms
Give labels to data
Classification
Decision trees
Generalization
Random Forest
Linear Classifier
Support vector regression
Neural Networks
CNN
Reinforcement
Learn from an enviromental model
Model-free algorithm
Value Based
Q learning
Generalization and continuity
Deep Q learning
Sarsa
Policy-based algorithm
Policy gradient
Complexification
Proximal policy optimization
Actor critic
Deep reinforcement learning
Learn From policies
Model-Based Algorithm
Dynamic Programming
Markov decision process