Live walk through
TAs will give a live overview of the course material structure, including:
- Lecture preparation and exercises on LearnIT
- The IML webpage
- Grasple
- OneDrive (location of exercises)
- test
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This exercise is about navigating through and being able to locate the course material. Initially, the TAs will provide a guided tour of the material, after which you will be asked to locate specific treasures (pieces of information) within the course material. The purpose of the questions is for you to become familiar with the structure of the materials. These exercises can be completed outside the exercise classes and you do not need to do them all (see icons of the exercise). Concentrate on the ones you find most useful for your understanding and ask the TAs or Dan in case you are in doubt. Some of the answers will be released later.
TAs will give a live overview of the course material structure, including:
Only few answers are provided here beside 5. Yes, especially the exercises marked as "expected" (see icons)
Ask if you are in doubt about the others
The following questions relate to the introduction video and the main components of the course.
The introduction video (around 8 minutes) for an overview of the learning activities, including lectures, exercises, in-class exercises, tutorials, and assignments.
Refer to LearnIT for the weekly topics and titles. Each week may also include a short description of the content.
Most of the mathematical notation and conceptual foundation needed for to machine learning is established in Part I (video around 8.30). The subsequent parts of the course build heavily on this material. It is therefore essential that you attend the lectures, complete as many exercises as possible, and ask questions whenever something is unclear. Even if you only grasp 30% at first, it is important to address uncertainties early to establish a solid foundation for the rest of the course.
Regression, classification, clustering and dimensionality reduction
Group size should be 2-3 students as pointed out under "submission" in About the course .
10–11.8 hours. If you find yourself consistently spending more than 11.8 hours per week on the expected reading and exercise material, please inform Dan. This assumes that you have engaged with the material and followed the guidelines carefully in the previous weeks. While some weeks may naturally require more time, this should be balanced by lighter weeks. Communicating such cases allows us to monitor workload and, if needed, assist with a contingency plan. Note that if you consistently spend less than 10–11.8 hours per week, the course may become disproportionately more difficult and result in increased workload (perhaps beyond the ECTS model) later on.