Plans for week 46, November 11-15

Dear all, we hope this weekend has evolved in the best possible way and that you have all been able to recharge properly your batteries.

Again thx so much for heroic efforts with project 2. We plan to have the feedback available during the week which starts with Monday November 25.

We are now moving away from Deep learning methods and will start with a new topic (and most likely the last one this semester), namely decision trees and ensemble methods like random forests, bagging, boosting, gradient boosting and more. This week we have thus a regular lecture on Monday.

We will continue with this topic Monday November 18 and will wrap up the course on November 25 (note and error in the official teaching schedule, the lecture of Monday November 25 is missing).

Concerning the recording from Monday November 4, I need to remake the video from last week since I discovered that the sound was not optimal (too much noise). I am sorry for this. I will post the video on CNNs and RNNs as soon as possible.

The plan for this week:

Lab sessions on Tuesday and Wednesday.

Work on and discussions of project 3

Material for the lecture on Monday November 11, 2024.

Basics of decision trees, classification and regression algorithms and ensemble models

Readings and Videos:

a. Lecture notes at https://github.com/CompPhysics/MachineLearning/blob/master/doc/pub/week46/ipynb/week46.ipynb

b. Video on Decision trees at https://www.youtube.com/watch?v=RmajweUFKvM&ab_channel=Simplilearn

c. Reading material on Decision Trees: Rashcka et al chapter 3 pages 86-98, and chapter 7 on Ensemble methods, Voting and Bagging and Gradient Boosting. See also lecture from STK-IN4300, lecture 7 at /studier/emner/matnat/math/STK-IN4300/h20/slides/lecture_7.pdf.

We look forward to see you all again,

Fahimeh, Ida, Karl Henrik, Mia, Morten, Odin and Sigurd