24.07.2026: Course Overview.
28.07.2026: Introduction to AI and Machine Learning.
29.07.2026: Introduction to Supervised Learning: Decision Tree.
04.08.2026: Decision Tree and Evaluation of Supervised Learning.
05.08.2026: Decision Tree and Evaluation of Supervised Learning.
07.08.2026: Decision Tree and Evaluation of Supervised Learning.
11.08.2026: Introduction to AI and Machine Learning. (For M.Tech./Ph.D. Students)
12.08.2026: Introduction to Supervised Learning: Decision Tree.
14.08.2026: Recommender System as Intelligent System: Introduction to Recommender System
18.08.2026: Introduction to Neural Models : Backpropagated Neural Network
19.08.2026: Evaluation of Supervised Models. (M.Tech./Ph.D. Students)
21.08.2026: Recommender System as Intelligent System
25.08.2026: Hebbian Learing Rules.
28.08.2026: Backpropagated Neural Network
01.09.2026: (NO Class)
02.09.2026:
08.09.2026:
09.09.2026: Bias-variance trade-off of classification model.
11.09.2026: Discussion on Evaluation Issue of Recommender System.
15.09.2026: Logestic Regression.