1142_Artificial Intelligence_359540
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Course Intro

Course Resources

  • 0_Course announcement_R
  • [錄] 02241618
  • 2_Introduction to AI_new_R
  • Knowledge representation
  • [錄] 03031607
  • 4_problem solving and search_R
  • 5_Gradient descent basis
  • [錄] 03101610
  • 6_Back propagation explained
  • [錄] 03171610
  • [錄] 03241610
  • 7_Linear programming_B
  • 9_Metaheuristic optimization
  • [錄] 03311610
  • [錄] 03311816
  • 8_Discrete optimization_B
  • sample_MT
  • 10_Introduction to probability
  • 11_ML vs MAP
  • [錄] 04071611
  • [錄] 04141609
  • [錄] 04141722
  • 1_Project announcement_B
  • 12_MC_A
  • [錄] 04281610
  • [錄] 05051610
  • 13_MCTS
  • 14_Markov chain
  • [錄] 05121610
  • [錄] 05191615
  • 15_MCMC_B
  • 16_Hidden Markov Model_A
  • 17_Reinforcement Learning
  • sample_final
Teacher / 

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