Assignment -1 


Assignment -2

IMPORTANT TOPICS

UNIT -1

  1. Well posed learning
  2. Find -S algorithm
  3. Decision tree (ID3) and issues in decision tree
  4. Issues in Machine learning
  5. Candidate elimination algorithm and inductive bias
UNIT -2
  1. Neural network representation
  2. Back propagation and Multilayer Neural Network 
  3. Face recognition algorithm and working
  4. Comparing learning algorithm
UNIT -3
  1. ANN and multi layer Network
  2. GIBS algorithm
  3. Bayesian Belief Network
  4. Bayes theorem
  5. KNN
  6. Concept learning as search
UNIT -4
  1. Genetic algorithm
  2. Q learning
  3. Reinforcement learning
  4. Temporal difference learning
  5. Learning FIRST order rule
  6. Reward and action rule
UNIT -5
  1. Learning with perfect domain theory
  2. Explanation based learning, and PROLOG EBG
  3. Analytical learning 
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Unit 3 Notes 👇👇


Unit 4 Notes 👇👇


Unit 5 Notes 👇👇