Detects pattern within data and use it to make useful prediction.

Generally AI ML DL

Some main exploration:

  • Transformers
  • CNN
  • Optimization
    • Gradient descent
    • hyperparameter tuning
  • Recommender systems
  • Reinforcement learning
    • Q-learning
    • Policy Gradient
    • Monte-Carlo Tree Search
  • Generative Models
    • GAN
    • VAE
  • Autoencoders
  • Supervised Q-learning

Related:

Theory