Data Mining and Exploration
The aim of this course is to discuss modern techniques for
analyzing, interpreting, visualizing and exploiting the data that is
captured in scientific and commercial environments. The course
develops the ideas taught in various machine learning courses and
discusses the issues in applying them to real-world data sets, as well
as teaching about other techniques and data-visualization methods. A
detailed overview of the course can be
found here.
Important dates
| Quiz 1 deadline | Tue 19 Jan, 11:59 PM GMT (wk 2) |
| Quiz 2 deadline | Tue 26 Jan, 11:59 PM GMT (wk 3) |
| Paper preference submission deadline | Fri 5 Feb, noon (wk 4) |
| Quiz 3 deadline | Tue 9 Feb, 11:59 PM GMT (wk 5) |
| Project selection submission deadline | Wed 10 Feb, noon (wk 5) |
| Class test | Thu 25 Feb (wk 6) |
| Project progress report submission deadline | Wed 17 March, noon (wk 8) |
| Project final report submission deadline | Wed 7 April, 4pm (wk 12) |
Quick links
DME catalogue page: DRPS | Learn | TimetableLive sessions: DME MS Teams
Questions and answers: Piazza
Gradescope: Access via Learn
Course material: Lecture notes | Labs repo | Recording notes
Contacts
Lecturer (lectures and computer labs): Michael GutmannLecturer (presentations and project): Siddharth Narayanaswamy
Teaching Assistant: Lazaros Mitskopoulos
ITO course secretary (for admin requests): Lindsay Seal
For help on computer access problems (e.g. Learn, MS Teams): Central University's IT support helpline For help on DICE: Informatics Computing Support team