Introduction to Machine Learning

Design Choices

  1. Determine the type of training experience: games against experts, table of correct moves, games against self, etc.
  2. Determine target function ($V$): Board → move, Board → value, etc.
  3. Determine representation of learned function ($\hat{V}$): polynomial, artificial neural network, linear function of six features, etc.
  4. Determine learning algorithm: linear programming, gradient descent, etc.

José M. Vidal .

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