Jorge Cardona

Self.

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This is just a list of topics I want to consider in write about. To some extend, this is the list of topics I want to study in more depth, writing is just an excuse to learn. I will update this list accordingly.

  • Support Vector Machines.
  • K-means.
  • K-neighbors.
  • Gradient descent, and other methods of optimization (Adam).
  • Recurrent Neural Networks.
  • Convolutional Neural Networks.
  • Training techniques (Dropout, Normalization)
  • Tracking algorithms.
  • Detection of Anomalies.
  • Reinforcement Learning:
  • Q-Learning and Deep Q-Learning.
  • Genetic algorithms.
  • Genetic programming.
  • Simulated annealing.
  • Boltzmann machines.
  • Historical recount with key papers.
  • Gerry Tesauro (1992, 1995)
  • Common Examples:
  • Tic-Tac-Toe with value function as the probability of winning.