[R-Task] Machine Learning & Statistical Learning

Intelligenza Artificiale

  • Neural Networks
  • Recursive Partitioning
  • Random Forests
  • Regularized and Shrinkage Methods
  • Boosting
  • Support Vector Machines and Kernel Methods
  • Bayesian Methods
  • Optimization using Genetic Algorithms
  • Association Rules
  • Model selection and validation
  • Elements of Statistical Learning