CS-E4830 - Kernel Methods in Machine Learning D, Lecture, 2.3.2022-2.6.2022

Topic outline

• Assignments
  There will be 3 home assignments, each consisting of Programming (in Python) and Pen & Paper exercises.
  

  
  

  Submission Instructions

  The submission consists of two parts:
  

  
  

  1) Programming: The programming tasks are provided and submitted through the JupyterHub system (see the "JupyterHub" section for instructions). You will be awarded points for the programming part only through the JupyterHub submission.

  
  

  2) Pen & Paper: Answers to the Pen & Paper part are submitted to MyCourses. If you have handwritten solutions, scan them and upload them compiled into a single pdf. Please try to keep the file size in a reasonable range (< 10 MB), but make sure it is still readable.

  Late submissions will result in no points.

  
  

  Schedule

  #	Release date	Exercise session	Submission deadline
  1	11.03.	17.03.	21.03. 4pm
  2	25.03.	31.03.	06.04. 4pm
  3	22.04.	28.04.	04.05. 4pm

  
  

  Support / Feedback

  Please use Zulip for questions, feedback, etc. Usually, other students have similar questions, so please ask there and help others when you know the answer to a posted issue. Reactions of the TAs might take a day and is less likely during the weekends. Additionally, the exercise sessions are organized in the week preceding each deadline where you can ask your questions and seek help from TAs and fellow students.

  
  
  

  • Select activity Assignment 1

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    Assignment 1

    Update on Assignment 1 (15.3.2022): Typo corrected in Task 4. {-1,1} changed to an open interval (-1,1).

  • Select activity Assignment 2

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    Assignment 2
  • Select activity Assignment 3

    

    Assignment 3