Announcements
| 11 Apr, 2025 |
For the exam, you are allowed to bring 3 sheets of A4 papers as notes.
You need to answer all questions to get full marks.
|
| 11 Apr, 2025 |
Practice exam and its
solutions has been released.
|
| 24 Feb, 2025 |
CW1 has been released.
The due date is 10 Mar, 2025 at noon.
|
| 10 Jan, 2025 |
Tutorial attendance is now required from the school.
Please check in with the tutors when you attend the tutorials.
|
| 9 Jan, 2025 |
No Tutorial/03 at 4:10pm. Please go to Tutorial/01 (at 2:10pm)
or Tutorial/02 (at 3:10pm).
|
| 9 Jan, 2025 |
No lecture on 13 Jan (to accommodate SDP). |
| 8 Nov, 2024 |
The website for 2024/25 is up. |
Goal
Machine learning is now used in many different areas.
In the School of Informatics alone,
there are 13 other machine learning-related courses!
The goal of this course is to teach you the foundation
of machine learning, enabling you to learn the
advanced topics.
Prerequisite
The course requires linear algebra, probability, and calculus.
We will review the necessary tools in this course, but we also
encourage you to review the materials in
CAP,
ILA, and
DMP.
Programming
We will be using
python throughout
the course, in particular, in the tutorials and coursework.
We will use
numpy,
matplotlib,
and a little bit of
pytorch.
Materials in
FDS
will be handy, and we encourage you to review them.