Maschinelles Lernen für Data Science W20/21
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Description

This course is open only for students of the Data Science Master's programme.

 

Online Access

Please use this WebEx Link to participate in the online lectures (Monday, 10-14h):
https://fu-berlin.webex.com/fu-berlin-en/j.php?MTID=m18ea5fd82e00d7ebd91624c67d78b5f5

 

Preliminary schedule

Week Topic Lecturer Assignments
1 (2.11.) Introduction Schütte none
2 (9.11.) Prediction Methods Landgraf none
3 (16.11.) Prediction Methods Landgraf none
4 (23.11.) Support Vector Machines / Data Cleansing Bittracher / Quer Week 4 by Bittracher
5 (30.11.) Sampling Techniques Bittracher Week 5 by Bittracher
6 (7.12.) Decision Trees Landgraf Week 6 by Landgraf
7 (14.12.) Prediction Methods Landgraf Week 7 by Landgraf
8 (4.01.) Midterm Landgraf Week 8 by Landgraf
9 (11.01.) Neural Networks Landgraf Week 9 by Landgraf
10 (18.01.) Neural Networks Landgraf Week 10 by Landgraf
11 (25.01.)

Unsupervised Learning

Landgraf Week 11 by Landgraf
12 (1.02.) Probabilistic data analysis Koltai Week 12 by Koltai
13 (8.02.)

Experiment Design

Weber none
14 (15.02.)

Transformers and Attention

Landgraf Week 14 by Landgraf
15 (22.02.)

Data visualization and graphs

Schütte/Koltai Week 15 by Schütte/Koltai

 

For the lecture by Prof. Landgraf, see this page: https://mycampus.imp.fu-berlin.de/x/wfenEh

 

Requirements to get active participation

  • Lectures: Write weekly reviews.
  • Exercise: Pass all mandatory assignments (starting from week 4 (23.11))
Basic Course Info

Course No Course Type Hours
19330101 Vorlesung 4
19330102 Übung 2

Time Span 02.11.2020 - 23.02.2021
Instructors
Andreas Bittracher
Péter Koltai
Jannes Quer
Christof Schütte
Katinka Wolter

Study Regulation

0590a_MA120 2019, MSc Data Science, 120 LP

Maschinelles Lernen für Data Science W20/21
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Main Events

Day Time Location Details
Monday 10-12 Online 2020-11-02 - 2021-02-22
Tuesday 10-12 Online 2020-11-03 - 2021-02-23

Accompanying Events

Day Time Location Details
Monday 12-14 Online Übung 01

Maschinelles Lernen für Data Science W20/21
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Maschinelles Lernen für Data Science W20/21
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