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