LECTURES

Following lectures would be taken by Dr. Kamlesh. Dates, slide-handout and recorded lecture videos would be available as the course proceeds.

Course Handout: [pdf]

Link to join live lecture sessions: 6154 [googleMeet]

Lecture-01: (17 Jan, 2022) Logistics and Introduction [pdf] [video]

Lecture-02: (19 Jan, 2022) ML Basics [pdf] [video]

Lecture-03: (21 Jan, 2022) ML Convergence Proof [pdf] [video]

Lecture-04: (24 Jan, 2022) Evaluation Parameters and Optimization [pdf]

STUDENTS

List of registered students is as below.

1. ABHAY NARENDRAN (2020A7PS0037P)
2. ABHINAV SAHAY (2020B5A70788P)
3. ABHINAV SINGHAL (2018B2A40704P)
4. ADAA BHARDWAJ (2020A3PS0154P)
5. AGNEYA BHARDWAJ (2019A8PS0297P)
6. AKSHIT PATEL (2018A8PS0094P)
7. AMBEDPELLIWAR SANKALP (2018A3PS0383P)
8. ANISH ASHISH KASEGAONKAR (2020B3A70785P)
9. ANSH GUPTA (2020A7PS0116P)
10. ARCHIT JAIN (2018B3A70792P)
11. ARVAPALLI NAGA RAMA AKHIL (2018A8PS0458P)
12. ARYAN DEVRANI (2019A8PS0408P)
13. ATHARV MITAL (2019A8PS0403P)
14. AVISHA GUPTA (2018B3A70105P)
15. BODADE ADITYA VINAYAK (2018A7PS0256P)
16. DAMARGIDDA ROHAN RAJ GOUD (2019A7PS0065P)
17. GEETI OBEROI (2018B3A70763P)
18. HARSH POKARNA (2020B3A70754P)
19. JOSH WADHWA (2019A1PS0824P)
20. KONEPALLI BHANU PRAKASH REDDY (2018A3PS0317P)
21. KOSIGANTI MANIKANTA RAGHAVA BHARADWAJ (2018A7PS0073P)
22. LADE HITHESH (2018A4PS0579P)
23. MANSI AGARWAL (2018B3A70762P)
24. MAYANK JAIN (2019A7PS0141P)
25. MOHIT THAKUR (2018B4A10869P)
26. NANDANAVANAM ARCHITH (2018A7PS0270P)
27. NIPUN  AGARWAL (2019A8PS0815P)
28. PEDDI VINEEL (2018A7PS0241P)
29. POONDLA BHARATH REDDY (2018A7PS0273P)
30. PRIYANSH GARG (2020ABPS1857P)
31. RAGHURAMA VARMA GONELA (2018A7PS1120P)
32. RAJAT SALGIA (2018A2PS0126P)
33. RISHAV DAS (2018A7PS0157P)
34. ROHIT LOHANI (2021PHXP0045P)
35. SHALINI SANTOSH SOLANKE (2020A2PS1768P)
36. SHAURYA BHARDWAJ (2020A3PS0441P)
37. SHIVAM ABHAY PANDE (2020A7PS0124P)
38. SIMRAN KAUR SODHI (2018B4A70845P)
39. SRIJAN SHASHWAT (2020A7B30091P)
40. TANMAY PRAVIN PARAB (2019A7PS0044P)
41. UDBHAV TRIPATHI (2019A4PS0323P)
42. UTKARSH SRIVASTAVA (2018A7PS0339P)
43. V SUSHANT (2019A7PS0045P)
44. VISHWA TAPAN SHAH (2020A7PS0121P)
45. YASH GUPTA (2018A7PS0262P)
46. YUVRAJ SINGH RAGHUVANSHI (2019A7PS0080P)

EVALUATION

All evaluation components are ment to be individual until it is specifically specified.

Schedule:

• Course Handout: [PDF]
• Assignment-01: (weightage 5%)
• Assignment-02: (weightage 10%)
• Class-Project: (weightage 15%)
• Mid-Semester Test: (weightage 25%)
• Term-Project: (weightage 10%)
• Comprehensive Exam: FN May 13, 2022 (weightage 35%)

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Plagarism in any form would fetch serious penalty.

LAB SESSIONS

Attending and submitting all lab component is absolutely necessary for full understanding of the course.

• Link to join LAB sessions: [googleMeet]
• Lab-00: (self) Learn PYTHON [video] [coLab]
• Lab-01: 11AM (22 Jan, 2022) Machine Learning models and deployment [video] [coLab]
• Lab-02: 11AM (29 Jan, 2022) Multi Layer Perceptrons
• Lab-03: 11AM (05 Feb, 2022) Convolutional Neural Networks
• Lab-04: 11AM (12 Feb, 2022) Image Segmentation
• Lab-05: 11AM (19 Feb, 2022) NLP, RNN, LSTM
• Lab-06: 11AM (26 Feb, 2022) NLP with Transformers
• Lab-07: 11AM (05 Mar, 2022) Generative modeling (GANs)