Semester page for FYS-STK4155 - Autumn 2021

Hi all,
I wanted to remind you of our plans for labs till the deadline for project 3.
Next week there are no labs (also because many of the other teaching assistants are busy with own exams)
but we have two extra lab sessions, both at F?434
1) December 8, digital lab 10-12 and in person 12-14 and later as well if needed . 
2) December 15, digital 10-12 and in person 12-14 and possibly longer.

If you wish to brush up your skills about Tensorflow and Keras, the lectures from weeks 41-43 contain several examples. Also, the video here by two former teaching assistants (Kristian Wold, now PhD student at OsloMet working on quantum machine learning and Per-Dimitri S?nderland, now at Accenture)  can be useful, see
/studier/emner/matnat/fys/FYS4411/v21/forelesningsvideoer/ExerciseSessionJan26.mp4?vrtx=view-as-webpage

Never hesitate to send us emails!!  And we can always schedule either in-person mee...

Dear all, we plan to organize two more lab sessions prior to the deadline of project 3. These are

1. Wednesday December 8, 10-12 digital lab, 12-14 in person at F?434
2. Wednesday December 15, 10-12 digital lab, 12-14 in person at F?434

You are all most welcome and never hesitate to send us an email in case you wish to meet or set up a zoom session.

Best wishes,

Morten et al

Dear all, first thx a million for heroic efforts with project 2 and for all the exciting contributions to project 3 last Friday. 
This week is our last week of lectures and lab. The lab tomorrow runs as usual, with both in person 8-18 and digital labs 8-10 and 14-16 and the topic is obviously project 3.
However, since the deadline for project 3 is December 17, we will offer both a digital (10-12) and in person labs 12-14 on Wednesday December 8 and December 15 (there are no activities next week but feel free to send us an email). 
We are also planning to have the feedback for project 2 ready by December 10 or 11. 

Else, the topics this week are, besides our lab sessions on Wednesday,

 
Thursday: Support Vector Machines, classification and regression. 
Friday: Support Vector Machines and Summary of Course

Reading recommendations:
 o Geron's chapter 5.
 o Hastie et al...