6.867 Machine Learning
Fall 2018
Instructors: Devavrat Shah, David Sontag, Suvrit Sra
TAs: Yujia Bao, Arjun S Khandelwal, Xianglin Flora Meng, Uma Roy, Jack S Serrino, Michael Z Sun, Loc Trinh, Alexander M Turner, Menghua Wu, Zhi Xu, Alexander Y Yang, Hongyu Yang
Lecture:
TR2.30-4
(32-123)
Recitation: Fri: 2pm (56-154), 1pm (56-154), 12pm (56-154), 11am (36-144), 10am (36-144), 9am (36-144), 4pm (26-322), 3pm (26-322), 2pm (26-322), 1pm (26-322), 12pm (26-322), 11am (26-322), 9pm (26-322), 10am (26-322), 3pm (56-154), 4pm (56-154)
Information:
Piazza: https://piazza.com/mit/fall2018/6867
Description:
Principles, techniques, and algorithms in machine learning from the point of view of statistical inference; representation, generalization, and model selection; and methods such as linear/additive models, active learning, boosting, support vector machines, non-parametric Bayesian methods, hidden Markov models, Bayesian networks, and convolutional and recurrent neural networks. Recommended prerequisite: 6.036 or other previous experience in machine learning.
Announcements
A Clarification on the Oral Presentation
The purpose of this message is to clarify the decision to switch from Poster Presentation to Oral Presentation for the projects. The Poster presentation, as announced in various manners in the class in the beginning of the semester, is simply infeasible due to the various logistical reasons for the class of this size (venue, poster presentation material needed, etc.). For that reason, we have switched to Presentation will be simply the poster that you were planning to present but now in the form of oral presentation. The added bonus is that now you have to presence only ONCE rather than multiple times, as one does in Poster presentation. Further this is a team assignment so we believe that team will share the burden of presentation making it relatively simpler for each individual.Announced on 11 December 2018 1:21 p.m. by Xianglin Flora Meng
office hour for Prof. Suvrit Sra
Prof. Sra is available for a final discussion about your project. Please email him directly if needed.Announced on 10 December 2018 11:51 a.m. by Zhi Xu
Reminder
Project Report:- The project report is due tomorrow. You need to email your report and code to your assigned TA. You don't need to attach your dataset. If you have any question regarding submission, email your TA.
Presentation:
- We only accept pdf slides. You need to submit your slides before
2pm, Dec 11. This is a firm deadline. You will email your slides
to:
32-123: Yujia Bao; 32-124: Uma Roy; 32-155: Loc Trinh.
Announced on 10 December 2018 11:31 a.m. by Zhi Xu
Presentation Schedule
Please sign up here: https://docs.google.com/spreadsheets/d/1hyYeqe1wGfR4HIi5w6bhAZZGHVmOrGCWIkqipxaOkzU/edit?usp=sharingAnnounced on 04 December 2018 11:56 a.m. by Zhi Xu
Recitation this week
As announced, the recitation on 12/07 will be used as project office hours. You should come to the recitation held by your project TA. If you cannot make it, please email your TA to arrange a time for discussion. You should come prepared with a preliminary presentation for your TA. This does not need to be formal. You can come to discuss your current results and ask for comments (roughly 10mins for each group). Basically, consider this as the last chance to advertise your project to your TA before the final presentation.Announced on 03 December 2018 5:13 p.m. by Zhi Xu
