18/12/22 : Welcome to the course
| Date |
Topic |
Material |
| 20/12/2022 |
Introduction |
Slides 11 to 21 |
| 23/12/2022 |
Simple Linear Regression |
Slides 2 to 13 |
| 27/12/2022 |
Concept Learning, Find-S |
Slides 1 to 9 |
| 30/12/2022 |
K-Nearest Neighbour |
|
| 03/01/2023 |
Version Spaces and Candidate elimination |
Slides 10 to 24 |
| 06/01/2023 |
Decision Tree Learning |
Slides 1 to 9 |
| 10/01/2023 |
Decision Tree Learning(contd) |
Slides 10 to 29 |
| 13/01/2023 |
Preceptron Learning |
Slides 2 to 14 |
| 17/01/2023 |
Back Propagation |
Derivation |
| 20/01/2023 |
Back Propagation(Contd) |
|
| 24/01/2023 |
Back Propagation(Contd) |
|
| 27/01/2023 |
Bayes classifier |
|
| 31/01/2023 |
Naive Bayes Classifier |
|
| 03/02/2023 |
Bayesian Belief Networks |
|
| 07/02/2023 |
Bayesian Belief Networks(Contd) |
|
| 10/02/2023 |
Radial Basis Function Network(RBFN) |
|
| 14/02/2023 |
Genetic Algorithm |
|
| 17/02/2023 |
Genetic Algorithms(Contd) |
|
| 21/02/2023 |
Reinforcement Learning |
|
| 24/02/2023 |
Reinforcement Learning(Contd) |
|
| 28/02/2023 |
Confidence Intervals |
|
| 03/03/2023 |
Comparing Learning Algorithms |
|
| 07/03/2023 |
EM Algorithm |
|
| 10/03/2023 |
EM Algorithm(Contd) |
|
| 14/03/2023 |
Computational Learning Theory |
|
| 17/03/2023 |
Student Presentations |
|
| 21/03/2023 |
Student Presentations |
|
| 24/03/2023 |
Student Presentations |
|
Assignment-1
| Topic |
List Of Students |
SubmittedFile |
|
| Activation Functions |
Manasa, Harika, Sainath, Lokesh |
Slides ,Code |
|
| Web Scraping |
Anusha, Spandana |
|
|
| Partial grading of Programming Assignments |
Jayanth, Jayasri |
|
|
| Checkers game Data preparation |
Jaswanth, Harshini, Aditya |
|
|
| Cricket Score predictor Data preparation |
SaiTeja, Ishak, Dileep |
|
|
