Weekly update for FYS-STK3155/4155

Good afternoon to everybody.

Here follows our weekly digest and plans for machine learning.

A note on classroom tomorrow Thursday November 1. Due to the  high-school teachers' conference, we have to change auditorium on Thursday. We will be in auditorium 2 in the chemistry department, see /studier/emner/matnat/fys/FYS-STK3155/h18/timeplan/index.html#FOR

On Friday we are back to our normal auditorium.

Last week we discussed how to reduce the dimensionality of our data set using fex the principal component analysis. We also started discussing support vector machines. We will conclude this part tomorrow, with code examples etc. Geron's text and its chapter 5 gives a good survey. Chapter 12 of Hastie et al is also a decent read. 

After that we will move to trees, forests and the wilderness. Decision trees and random forests are highly popular algorithms for both classification and regression, in particular if we have heterogenous data. We will discuss this partly tomorrow and on Friday as well. We will probably need some time next week as well before we move into unsupervised learning and Bayesian statistics (our last topics).  Various trees and forests are discussed in chapters 6 and 7 of Geron and chapters 9 and 15 of Hastie, as well as in our lecture notes.

Concerning project 2, please let me know if there is a need for an extension. We may move it one week ahead. 

This may however influence the deadline for project 3. 

I will come to project 3 during tomorrow's lecture as well via a mail later this week.

Best wishes to you all,

Bendik, Kristine, Morten and ?yvind