The term machine learning hides a variety of different statistical methods. The basic aim of these methods is to recognize or disclose structures / patterns in data. What is often sold a bit like highly complex mathematics usually has simple ideas as a basis.
This is the second part of a two-part workshop (link to the first part of the workshop). It is recommended that you take part in both but it is not required.
Some of the theoretical ideas behind machine learning will be presented. However, the focus is on the implementation of these methods in R and the interpretation of the results. In the first part of the workshop, we will deal with continuous response variables, whereas in the second part we will work with category data.
We would like to invite Ph.D. students and researchers to a two-part workshop in R machine learning. Part one on 4-5 november (13:00-16:00 and 9:00-12:00), part two on 14-15 december (13:00-16:00 and 9:00-12:00) in Umeå.
We will work in R-Studio, bring your own computer and have R-Studio installed. Additional material and information will be published here soon and sent to all participants. If there is time you can also bring your own data and work on this.