|Website:||website containing additional information|
|Period:||period 1 (week 36 through 45, i.e., 4-9-2017 through 10-11-2017; retake week 1)|
|Participants:||up till now 107 subscriptions|
|Schedule:||Official schedule representation can be found in Osiris|
|Teachers:||Dit is een oud rooster!
|Contents:||Note: basic knowledge of probability, statistics and calculus is
Also, you should be able to write a program, but experience with the R language is not required.
The following subjects are discussed:
|Literature:||Lecture notes and selected articles/book chapters.|
|Course form:||Lectures and Computer Lab.|
|Exam form:||Written exam and practical assignments.|
|Minimum effort to qualify for 2nd chance exam:|
The amount of data that is produced and stored by companies and other organizations is still growing every day.
Examples of problems that data mining can help address are:
In this course we study a number of well-known data mining algorithms. We discuss what type of problems they are suited for, their computational complexity and how to interpret and apply the models constructed with them.