6.867 Machine Learning
Fall 2017
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Image taken from https://www.toptal.com/machine-learning/machine-learning-theory-an-introductory-primer
Instructors: Devavrat Shah, David Sontag, Suvrit Sra
TAs: Nirav Bhan, Hongge Chen, Hyunghoon Cho, Michael S Fleder, Curtis George Northcutt, Ardavan Saeedi, Manjot Sangha, Lawrence J Sun, Zhi Xu, Tiange Alice Zhan, Chengkai Zhang, Liang Zhou
Lecture:
Tues/Thurs: 2.30-4
(26-100)
Recitation: Fri: 9am (26-322), 9am (36-144), 10am (36-144), 10am (26-322), 11am (36-144), 11am (26-322), 12pm (56-154), 12pm (26-322), 1pm (56-154), 1pm (26-322), 2pm (26-322), 2pm (56-154), 3pm (26-322), 3pm (56-154), 4pm (26-322), 4pm (56-154)
Course Information:
Piazza:
We will use Piazza for making announcements, and managing
discussions:
https://piazza.com/class#fall2017/6867
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, and Bayesian networks. The course will give the student the basic ideas and intuition behind modern machine learning methods as well as a bit more formal understanding of how, why, and when they work. The underlying theme in the course is statistical inference as it provides the foundation for most of the methods covered. Recommended prerequisite: 6.036.
Books:
• [B] Pattern Recognition and Machine Learning, Bishop;
Springer, 2007.
• [EH] Computer Age Statistical Inference, Efron and Hastie;
Cambridge University Press, 2016.
• [JWHT] An Introduction to Statistical Learning: , James, Witten,
Hastie, Tibshirani; Springer, 2013. Easy read, very pragmatic.
Announcements
Final Project Due
Remember that the course final project is due tomorrow (Tuesday 12/12) at 11:59 PM. Please make sure to turn it in on time.For turning in the final report, we will follow a submission policy similar to the milestones. Simply e-mail your TA with an e-mail titled "6.867 Group # Project Milestone 6 Submission" with your final report attached.
A few reminders (and one new policy):
- Please include a brief section in the report detailing which
group members contributed which portions of the project
- Cite all references used in your report. This includes both
theoretical concepts and any code/software used.
- Please remind us (either in the e-mail or final report) if your
final project is being used for any other classes.
- (NEW) Please share your code with us. Do whatever method is most
convenient for you, but sharing a git repository with your TA would
be easiest for us.
Announced on 11 December 2017 12:51 p.m. by Lawrence J Sun
Office Hours for Professor Sontag
This is a reminder that Professor Sontag will be holding office hours from 10 - 11 AM tomorrow (Monday 12/11) in 32-G464.Announced on 10 December 2017 10:28 p.m. by Lawrence J Sun
Exercise 12
Exercise 12 has been released on Stellar, along with solutions.Announced on 05 December 2017 11:36 p.m. by Tiange Alice Zhan
Exam 2 Solutions Posted
Exam 2 solutions are now available on Stellar under "Exams". If you are submitting a regrade request, please be sure to review this beforehand.Announced on 04 December 2017 3:52 p.m. by Tiange Alice Zhan
Course Evaluations Open
The online course evaluations are now open. Please fill these out, as your feedback is very valuable to us in improving the course in the future! We will give 5 minutes during lectures this week (Tuesday, Dec 5 and Thursday, Dec 7) so that all students can complete these evaluations, so please don't forget to bring your laptops on these days.Announced on 04 December 2017 3:04 p.m. by Tiange Alice Zhan
