Machine Learning
Monsoon 2021

At the conclusion of the course, I am glad to announce the best course projects: Best-Projects-Machine-Learning-2021

Contact and Communication
- Google Classroom is the forum for the class. Please send an email to me to get the registration code.
- All official announcements and communication will happen over GC.
- Any questions regarding course content and course organization should be posted on GC.

WEEK NO	LECTURE NO	DATE	LECTURE TOPIC
1	1	18/08	Introduction
	2	20/08	Learning Problems and the Empirical Risk Minimization Framework, Loss Functions for Classification and Regression, Evaluation Metrics for Classification
2	3	25/08	Linear models for regression
	4	27/08	Logistic Regression
3	5	01/09	Machine Learning in Practice [Validation, Bias-Variance]
	6	03/09	Machine Learning in Practice [Regularization, Resampling]
4	7	08/09	Naive Bayes
	8	10/09	Decision Trees
5	9	15/09	Random Forests
	10	17/09	Perceptron
6	11	22/09	Oveflow
	12	24/09
7		Mid-sem
8	13	06/10	Project Mid-Sem Presentation
	14	08/10	MLP-I [BackPropagation]
9	15	13/10	MLP-II [Practical Considerations]
	16	20/10	SVM – I [Optimal Hyperplane]
10	17	22/10	SVM – II [Primal and Dual Form]
	18	27/10	SVM – III [Kernel SVM]
11	19	29/10	Overflow
	20	3/11	Unsupervised Learning: K Means
12	21	10/11	Convolutional Neural Networks
	22	12/11	Application to Images
13	23	17/11	Case Study
	24	24/11	Fairness, Accountability and Transparency
14	25	26/11	Project End-Sem Presentation
	26	30/11	Revision
15		End-sem

Instructor
- Dr. Jainendra Shukla : Friday 5:00 PM – 6:00 PM, [Schedule Appointment]
Teaching Assistant
- Ashwini B (Ph.D.) : Friday 4:00 PM – 5:00 PM, Google Meet
- Rajat Agarwal (Ph.D.) : Thurday 4:00 PM – 5:00 PM, Google Meet
- Arka Sarkar : Monday 4:00 PM – 5:00 PM, Google Meet
- Lakshya A Agrawal : TBD, Google Meet
- Pragya Gandhi : TBD, Google Meet
- Ruhma Mehek Khan : TBD, Google Meet
- Yashdeep Prasad : Saturday 4:00 PM – 5:00 PM, Google Meet