Plans for week 35, August 24-28

Dear all, we hope you've had a great weekend. We look forward to welcome you back.

Here are the links to this week's teaching material, with plans and exercises . You will find a week35monday.pdf file which contains the material for Monday's lecture (which we will try to keep as a regular lecture) and Tuesday's more case-based/flipped class where we discuss topics relevant to the weekly exercises (and later the projects).  You will also find the corresponding jupyter-notebook for the discussions on Tuesday as week35tuesday.ipynb as well under the week35 folder, see https://github.com/EducationalMaterialUiO/MachineLearningUiO/tree/main/doc/WeeklyMaterial/week35

The files are 

Monday's lecture:

https://github.com/EducationalMaterialUiO/MachineLearningUiO/blob/main/doc/WeeklyMaterial/week35/week35monday.pdf,

Tuesday's flipped class

https://github.com/EducationalMaterialUiO/MachineLearningUiO/blob/main/doc/WeeklyMaterial/week35/week35tuesday.pdf and its jupyter-notebook at https://github.com/EducationalMaterialUiO/MachineLearningUiO/blob/main/doc/WeeklyMaterial/week35/week35tuesday.ipynb

The exercises for this week (which you can hand in via canvas by Friday and get additional score for) are in the file https://github.com/EducationalMaterialUiO/MachineLearningUiO/blob/main/doc/WeeklyMaterial/week35/exercisesweek35.ipynb

Wishing you all the very best,

Amanda,  Amund, Brit, Kim, Morten and Viktor