Sissejuhatus andmeteadusesse 2020/21 sügis

Lectures

Lecture 01 - Sept 3 - Introduction

Slides part 1, slides part 2, video

Lecture 02 - Sept 10 - First look at the data

Slides part 1, slides part 2, video

Lecture 03 - Sept 17 - Tableau and visualisation

Video 1, video 2

Lecture 04 - Sept 24 - Frequent pattern mining

Slides, video

Lecture 05 - Oct 1 - Relations of attributes, clustering and dimensionality reduction

Slides part 1, slides part 2, video 1, video 2

Lecture 06 - Oct 8 - Introduction to machine learning

Slides part 1, slides part 2, video

Lecture 07 - Oct 15 - Machine learning 2

Slides part 1, slides part 2, slides part 3, video

Lecture 08 - Oct 22 - Machine learning 3

Lecture 09 - Oct 29 - Machine learning 4 + Project information

Nov 5 - Consultation for projects (same room and time as the lecture)

Lecture 10 - Nov 12 - Computational statistics

Lecture 11 - Nov 19 - CRISP-DM, Graph mining, and NLP

Lecture 12 - Nov 26 - Databases and privacy

Dec 3 - Consultation for projects and consultation for exam (same room and time as the lecture)

Dec 10 - No lecture

Dec 17 - Poster session at 14:00-17:00