Introductory Applied Machine Learning
Lecturers: Victor Lavrenko
and Nigel Goddard
: Boris Mitrovic
The goal of this course is to introduce students to basic algorithms
for learning from examples, focusing on classification and clustering
This is a level 9 course intended for MSc students and 3rd year
For an overview of the planned course topics, see the
Course Catalog entry and
the 2011 introductory handout.
Mondays and Thursdays in Appleton
, Lecture Theatre 1
The first lecture is on Monday 15th September
2014 at 14:10.
for the discussion forum.
The forum will contain detailed lecture notes annotated with questions
and answers. It is monitored by both lectures and the TA, so
if you ask questions here, you are likely to get a much faster
response than if you email the lecturers individually. (However, if
you have issues that should be kept confidential, then of course
please do email the course lecturers.)
There will be four equally-weighted assignments together worth 25% of
the mark for the course. These will be released, and submissions due,
according to the schedule that will be announced soon.
You are required to submit both an electronic copy and a manual copy
to the ITO by the deadlines. The deadlines are strictly enforced.
Please read the Informatics policy on late submissions and plagiarism.
Tutorials will be in weeks 3, 5, 7 and 9.
Labs will be in weeks 3,5,7 and 9.
(This list is subject to change.)
mathematical preliminaries [slides]
No tutorials in week 1 (nor week 2)
Textbook chapters 1, 2
are from the old Learning from Data course. They are
more difficult than what we will need for IAML, but if
you are happy with them you should have no problem with
the IAML maths level.
This page is maintained by
and Nigel Goddard.