In this course we will have one seminar per period for the first 6 periods of your studies at KTH and discuss topics such as:

The logistic and experiences of a machine learning student at KTH: courses and thesis project.
Where do machine learning graduates work? Academia, industry and the public sector
The ethics of making conclusions from experiments and results and presenting these to the public.
Privacy, security and ethical issues around "big data".
What machine learning can and cannot predict
Code of conduct for a machine learning scientist

The course will also include visits to companies.

To pass the course you need to complete an assignment for each seminar.

Next Seminar: Seminars for Period 3 will be scheduled soon. They will happen in the last week of lectures of P3.

Links to important webpages and assignments

Schedule & Group Information

People - You have been assigned to a group in the "HT 2022 Seminar Groups". Please check which group you have been assigned to.
Schedule for Seminars - This page contains the schedule for the seminars (as we have many seminar groups it is not possible for all of them to happen on the same day and time) and assignment of groups to seminar leaders.

Master Thesis information meetings for students in IS department
- Thursday, September 29, 1:15–3:00 PM, Location: M1. KTH main campus, location map: https://www.kth.se/places/room/id/ad02be6d-21e4-480d-9979-d335c6f10875
- Friday, October 7, 4:00—5:15 PM. Online: zoom link, https://kth-se.zoom.us/j/67572707467
Degree Project Fair 2022 - 12 October, 10:30-15:00 (Kistagången 16/Electrum)
Degree Projects at EECS, 2023 - The official page for the thesis project VT23
Degree Project at EECS, 2022 - This page contains official information about the thesis project and procedures for VT 22 and HT22
KTH degree project portal
Projects on offer at Department of Intelligent Systems
- Project proposals from RPL, Division of Robotics, Perception and Learning.
- Project Proposals from DCS, Division of Decision and Control Systems.
- Project proposals from ISE, Division of Information Science and Engineering.
- Project proposals from TMH, Division of Speech, Music, and Hearing.

intro.pdf - Slides from my introduction talk (Thursday, Aug 25)
TMAIM Intro 2023.pdf - Slides with the results of the questionnaires.
DD1420 Advert slides.pdf - Slides promoting DD1420
Want to take new mandatory course DD1420 instead of DD2421? You are already admitted to DD2421 by default. However, we advise you to take the new course DD1420 instead. Please fill in this form if you want to be admitted to DD1420: Course replacement DD1420 Foundations of Machine Learning and take this course instead of DD2421. Deadline: 12:00, Friday, Aug 26, 2022.
- Material for D1420 from session 1: Lecture material
- Link to the Canvas page for DD2421, HT 21

The course DD2421/DD1420 is a mandatory course in the program syllabus for the Master's Programme in Machine Learning. If you have already taken the course DD2421/DD1420 or another course equivalent to these before then you will need to replace it with either an extra conditionally elective course or a course from the recommended courses list. Please fill out this form if you are in this situation:
Replacement course for DD2421/DD1420 Machine Learning

Other information

Studies abroad - KTH website with information about studying abroad
Links to accessible Canvas Pages relevant to TMAIM students - to help with your course choices several teachers of conditionally elective courses have kindly shared the Canvas page of their course with us. It is not exhaustive at the moment but I hope the list will expand over time.