Please note the following for the examination tomorrow:

1) The exam paper and all accompanying files will be made available at 6:00 am on 13 June 2019 (Thursday), via ClickUP.
2) The questions will cover machine and statistical learning.
3) You are expected to answer the questions in an electronic document. The formatting is up to the student.
4) Please submit two separate documents: one for machine learning, and another one for statistical learning.
5) Each submitted document must be accompanied by a cover page stating that the work is your own. Cover page template will be provided.
6) E-mail submissions will NOT be considered.
7) Strict deadline for submission is 13 June (Thursday) at 16:00.
8) Clarifications on the questions can be obtained by e-mailing the lecturers.

Good luck!

The exam will begin at 8:00 on 13 June 2019, and end at 16:00 on the same day. In case you require extra time, we will release the exam questions at 6:00 am on 13 June.

For the machine learning part of the course, expect to be examined on your general understanding of the concepts discussed in class and explored in the assignments. The questions will be mostly theoretical, and will probe your understanding and ability to reason and make hypothesis rather than programmatic application of the various ML techniques.

Please note that semester marks are available for download. Assignment 1 (machine learning) & Assignment 2 (statistical learning) each contribute exactly 50% out of your total semester mark. If your semester mark is in red, then you will not be allowed to write the final examination.

Please note that assignment 1 marks are now available for download (Admin/Marks). Individual feedback was left on ClickUP for every submission.

Please note that Phase II of assignment 1 has been released. The strict  deadline is 12 April 2019, 23:30. Late assignments will not be marked.

Dear students,

Please note that Assignment 1 (Phase I) has been released. Questions regarding the assignment should be directed to Ms Anna Bosman.

The assignment will only be marked after both Phase I and Phase II have been completed.

The students are advised to read chapters 1 to 3 of the prescribed "Machine Learning with R" textbook in their own time.

Please note that the study guide has been released.

Dear students, welcome to MIT 801! Course study guide will be published on this page before the end of this week.