6.867 Machine Learning
Fall 2019
Instructors: Tommi S Jaakkola, Devavrat Shah, David Sontag, Suvrit Sra
TAs: Varkey T Alumootil, Rares-Darius Buhai, Hongge Chen, Wangzhi Dai, Matthew McDermott, Aniruddh Raghu, Huitao Shen, Shen Shen, Aaditya K Singh, Andrew Y Tsai, Zhongxia Yan
Lecture:
TR2.30-4
(32-123)
Recitation: F9 (26-322), F9 (36-144), F10 (26-322), F10 (36-144), F11 (26-322), F11 (36-144), F12 (26-322), F12 (56-154), F1 (26-322), F1 (56-154), F2 (26-322), F2 (56-154), F3 (26-322), F3 (56-154), F4 (26-322), F4 (56-154)
Information:
Piazza: https://piazza.com/mit/fall2019/6867
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
Exam 2 & Project Grades Out
Dear students,Exam 2 and project grades are now visible on stellar. Exam 2 solutions are also posted.
Exam 2 statistics:
Mean: 61.28, Stddev: 14.83, Max: 98.5, Min: 20.5
Letter grades will be submitted tomorrow. The final cut-off is adjusted based on the overall performance of the class.
We hope you enjoyed the class. We are very grateful to having such an amazing class of students and wish you the best of luck in your future machine learning journey.
6.867 course staff
Announced on 19 December 2019 8:35 p.m. by Huitao Shen
Homework 3 Grades
Homework 3 grades are now visible on stellar. Mean is 90.5 and std is 11.0. Verdicts of author feedbacks can be found as meta-reviews on CMT.A reminder that the last office hour is currently on-going until 7:00pm today at 36-153. Please drop by if you have any questions regarding the final exam!
Announced on 13 December 2019 4:37 p.m. by Huitao Shen
Final Office Hour
Dear class,Thank you for everyone who attended the poster session! It was fantastic to see your posters and learn about your projects. Please don't forget to submit the final version of your report by the end of today if you need to. We don't allow late submissions and any late submission will receive 10% point deduction per day.
We will hold one last office hour this Friday, Dec 13 4:00pm-7:00pm at 36-153. Please come if you have any questions regarding the final exam!
Best,
Huitao
Announced on 10 December 2019 7:45 p.m. by Huitao Shen
Project Poster Session
Dear class,The poster presentation will be held 2:30-5:30pm, Tuesday, Dec 10 at Grier conference rooms (34-401 A and B). There will be two sessions of 1.5 hour. Each session will feature half of the posters. The schedule can be found on https://docs.google.com/spreadsheets/d/1-DONjh0h_LPW2U_piztua0_a-M4233XBDgnQAgoMvKc/edit?usp=sharing. Please let us know if you have problems with the current schedule. Posters should be arranged according to instructors, so that it is easier for instructors to find the relevant posters and grade.
All students are required to attend *both* sessions, no matter which session your poster is in. The goal of the poster session is not only to present your own poster, but to learn about your peers' projects as well.
Several students have asked me about the poster printing. You should be able to pick your posters tomorrow morning, even if you submit your poster to Chris (papadop@mit.edu) tonight.
All our course staffs are very excited to learn about your projects. See you tomorrow!
Best,
Huitao
Announced on 09 December 2019 9:11 p.m. by Huitao Shen
Class Evaluation
All.The class evaluation portal is open:
https://registrar.mit.edu/classes-grades-evaluations/subject-evaluation
Please follow link there (it's open till December 16, 9AM).
See you all in the final lecture later today!
Devavrat
Devavrat
Announced on 05 December 2019 12:45 p.m. by Devavrat Shah
