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Materials for Applied Data Science profile course INFOMDA2 Battling the curse of dimensionality.

Battling the Curse of Dimensionality

This webpage contains all materials required for the Applied Data Science profile course INFOMDA2 ‘Battling the Curse of Dimensionality’.

The materials on this website are CC-BY-4.0 licensed.

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Syllabus

You can find the course syllabus as a web page here or as a pdf here.

Lectures

Number Title Slides
01 High-dimensional data Slides
02 Dimension reduction I Slides
03 Dimension reduction II Slides
04 Deep learning Slides
05 Clustering Slides
06 Model-based Clustering Slides, code
07 Time series Slides
08 Text mining Slides
09 Natural language processing Slides

Practicals

Number Title Practical Answers
01 High-dimensional data Practical Answers
02 Dimension reduction I Practical Answers
03 Dimension reduction II Practical Answers
04 Deep learning Practical Answers
05 Clustering Practical Answers
06 Model-based Clustering Practical Answers
07 Time series Practical Answers
08 Text mining Practical Answers
09 Natural language processing Practical Answers

Assignments

Number Title Deadline Link
01 Partial least squares 02-12-2022 @ 11:00 Assignment
02 Comparing cluster methods 20-01-2023 @ 11:00 Assignment

Exam

The exam will take place on Friday, February 3rd, from 14:00 to 16.00. Those with extra time have 30 additional minutes. The location is BBG 201.

The exam is open book. You may use all materials you have, including lecture slides, notes, code and books. However, no communication with others is allowed, whatsoever. You are expected to take the exam individually. The use of ChatGPT and other large language models to help answer questions is forbidden.

Some example questions can be found here.

Resit

The resit will take place on Friday, March 3rd, from 14:00 to 16:00. Those with extra time have 30 additional minutes. The location is BBG 169.

The exam is open book. You may use all materials you have, including lecture slides, notes, code and books. However, no communication with others is allowed, whatsoever. You are expected to take the exam individually. The use of ChatGPT and other large language models to help answer questions is forbidden.