Description:
The course provides an introduction to incremental machine learning algorithms
(IMLA) with an emphasis on models and applications for time-series problems.
The initial lectures motivate the need for IMLA along with with an overview of
the various categories of IMLA like continual learning, online learning etc.
Following that, incremental variants of the standard machine learning algorithms
like linear regression, SVM and random forest algorithms will be studied in
detail. Other topics that would be covered in the course include IMLA for
neural networks, pre-processing and post-processing tools for incremental
models, concept drift, and catastrophic forgetting. The course will have an
emphasis on time-series applications.
Prerequisites:
Bachelor and master’s degree in computer science or software engineering,
including knowledge on machine learning and data management as introduced in
typical undergraduate courses
Organizer: Professor Torben Bach Pedersen and Assistant Professor Nguyen Ho.
Lecturers: Research Scientist Seshu Tirupathi, IBM Ireland
ECTS: 2.0
Time: May 9-12, 2022: 8:30-12:00
Place: AAU Aalborg
Number of seats: 15
Deadline: April 18, 2022
Important
information concerning PhD courses:
We have over some time experienced problems with no-show for both project and
general courses. It has now reached a point where we are forced to take action.
Therefore, the Doctoral School has decided to introduce a no-show fee of DKK
3.000 for each course where the student does not show up. Cancellations are
accepted no later than 2 weeks before start of the course. Registered illness
is of course an acceptable reason for not showing up on those days.
Furthermore, all courses open for registration approximately four months before
start. This can hopefully also provide new students a chance to register for
courses during the year. We look forward to your registrations.
- Teacher: Torben Bach Pedersen