Artificial Intelligence : Notes
  • Supervised Learning
    • Trees
      • AdaBoost
      • ID3
      • Random Forests
    • Convolutional Neural Networks
    • DNN for Classification
    • K-Nearest Neighbors
    • LDA
    • Logistic Regression
    • Perceptron
    • QDA
    • SVM
  • Unsupervised Learning
    • DBSCAN
    • Deep Autoencoder
    • Generative Adversarial Networks (GAN)
    • K-Means Clustering
    • Linear Regression
    • Principal Component Analysis (PCA)
    • Restricted Boltzmann Machines (RBM)
  • Reinforcement Learning
    • Markov Decision Process
    • Q-Learning
    • Deep Q-Learning
  • Ensemble Strategies
    • Ensemble Learning
    • Fine-tuning and resampling
  • Other Techniques
    • Expectation-Maximization
    • Recurrent Neural Networks

Decision trees

Decision tree learning is a method commonly used in data mining. The goal is to create a model that predicts the value of a target variable based on several input variables following if-then rules in its simplest form.

Topics

  • Random Forests
  • ID3 Algorithm
  • AdaBoost
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Convolutional Neural Networks