Homeworks

• Homework #1 Basic Python. Due September 8.
  • Solutions to Homework #1
• Homework #2 Agents and Environments. Due September 15.
  • Solutions to Homework #2
• Homework #3 Search. Due September 22.
  • Solutions to Homework #3
• Homework #4 Heuristic Search. Due September 29.
  • Solutions to Homework #4
• Pseudo-homework on Adversarial Search.
• Homework #5 Propositional Logic and Intro to Jess. Due October 29.
  • Solutions to Homework #5
• Homework #6 Inference. Due November 5.
  • Answers for part 1 of HW #6.
  • Answers for part 2 (the Jess code) of HW #6
• Homework #7 Decision Trees. Due November 12.
• Pseudo-homework #2 Bayesian networks, utility, and value of information.
• Pseudo-homework #3 Perceptrons, MDPs, and reinforcement learning.

Projects

• Project 1 Implementing a genetic algorithm
  • Code for the N-queens fitness function.
  • Code for generating random TSP problems.
• Project 2 Naive Bayes text classification.
• Project 3 Face recognition with neural networks.