MACHINE LEARNING

MACHINE LEARNING

1. ENSEMBLE METHODS

   • Boosting
     • AdaBoost
     • CatBoost
     • XGBoost
   • Stacking
   • Bagging
     • Random Forest

2. NEURAL NETS AND DEEP LEARNING

   • Convolutional Neuronal Networks (CNN)
     • DCNN
   • Recurrent Neuronal Networks (CRN)
     • LSM
     • LSTM
     • GRU
   • Generative Adversarial Networks (GAN)
   • Autoencoders
   • Perceptrons (MLP)

3. REINFORCEMENT LEARNING

   • Genetic Algorithm
   • A3C
   • SARSA
   • Q-Learning
   • Deep Q-Networks(DQN)

4. CLASSSICAL LEARNING

   • SUPERVISED
     • Regression
       • Ridge/Lasso Regression
       • Palynominal Regression
       • Linear Regression
     • Classification
       • Logistic Regression
       • Decision Tres
       • SVM
       • Naive Bayes
       • K-NN
   • UNSUPERVISED
     • Clustering
       • Agglomerative
       • K-Means
       • Mean-shift
       • Fuzzy C-Means
       • DBSCAN
     • Pattern Search
       • Euclat
       • Apriori
       • FP-Growth
     • DIMENSION REDUCTION (generalization)
       • t-SNE
       • PCA
       • LSA
       • SVD
       • LDA

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