Date(s) - 2014-11-06
16:00 CET - 18:00 CET
In this book club we go beyond the classical statistical methods for modelling, such as linear regression. As computing power has increased over the last 20 years many new, highly computational, “Statistical Learning”, methods have been developed.
In particular the last decade has seen a significant expansion of the number of possible approaches. This book club will provide a very applied overview to such modern methods as Generalized Additive Models, Decision Trees, Boosting, Bagging and Support Vector Machines as well as more classical linear approaches such as Logistic Regression, Linear Discriminant Analysis, K-Means Clustering and Nearest Neighbors.
We will also introduce code and possibly discuss some of the exercises in the book.
The current plan is to meet bi-weekly starting on Thursday, Nov. 6th 2014 in ATC B11. We will try to cover half a chapter per session (except for chapter 2) and possibly add sessions on biological data analysis problems.
Please register here to receive the announcments, all info is here: