Class Notes/Presentations
- Course handout is here. [pdf] (Jan 15, 2021)
- Lecture-01: Introduction and Logistics (Jan 18, 2021) [pdf]
[video]
- Lecture-02: Basics of Machine Learning (Jan 20, 2021) [pdf]
[video]
- Lecture-03-04: Performance Evaluation (Jan 22-25, 2021) [pdf]
[video1] [video2]
- Lecture-05: Towards Bayesian Machine Learning (Aug 27, 2021) [pdf]
[video]
- Lecture-06: Bayesian Learning (MAP and ML) (Aug 29, 2021) [pdf]
[video]
- Lecture-07: SSD, Lagrange Multiplier (Feb 01, 2021) [pdf]
[video]
- Lecture-08: Expectation Maximization and SVD (Feb 03, 2021) [pdf]
[video]
- Lecture-09: Curse of Dimensionality, PCA and Eigenfaces (Feb 05, 2021) [pdf]
[video]
- Lecture-10: Maximum Desription Length (MDL) (Feb 08, 2021) [pdf]
[video]
- Lecture-11: Hidden Markov Model (HMM) (Feb 10, 2021) [pdf]
[video]
- Lecture-12+13+14: Concept Learning (Feb 12+15+17, 2021) [pdf]
[video1] [video2] [video3]
- Lecture-15+16: Classification: K-NN, Decision Tree (Feb 19+22, 2021) [pdf]
[video1] [video2]
- Lecture-17: Decision Tree (contd..) + Random Forest (Feb 24, 2021) [pdf]
[video]
- Lecture-18: Clustering: K-Means (Feb 26, 2021) [pdf]
[video]
- Mid-Sem Test (March 02, 2021)
- Lecture-19: Naive Bayes Classifier (March 08, 2021) [pdf]
[video]
- Lecture-20: Linear Regression (March 10, 2021) [pdf]
[video]
- Lecture-21: Logistic Regression (March 12, 2021) [pdf]
[video]
- Lecture-22: Graphical Model: Bayesian Belief Networks (March 15, 2021) [pdf]
[video]
- Lecture-23: PAC Learning (March 17, 2021) [pdf]
[video]
- Lecture-24: SOM, VC-Dimension and Monte Carlo Simulation (March 19, 2021) [pdf]
[video]
- Lecture-25: SVM (March 22, 2021) [pdf]
[video]
- Lecture-26: Kernel SVM (March 26, 2021) [pdf]
[video]
- Lecture-27: Boosting Bagging (March 28, 2021) [pdf]
[video]
- Lecture-28: Genetic Algorithms (March 31, 2021) [pdf]
[video]
- Lecture-29: Reinforcement Learning (April 05, 2021) [pdf]
[video]
- Lecture-30: Active Learning, Metric Learning (April 07, 2021) [pdf]
[video]
- Lecture-31,32,33: Neural Networks (April 09+12+16, 2021) [pdf]
[video1]
[video2]
[video3]
- Lecture-34: Sequence Modeling in NN (April 19, 2021) [pdf]
[video]
- Lecture-35,36: Introduction to Computer Vision (April 23, 2021) [pdf]
[video1]
[video2]
- Lecture-37: Convolutional Neural Networks (CNN) (April 28, 2021) [pdf]
[video]
- Lecture-38: Popular CNN Architectures (April 30, 2021) [pdf]
[video]