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Elements of Data Science and Artificial Intelligence
Prof. Dr. Jens Dittrich
,
Prof. Dr. Jörg Hoffmann
,
Thorsten Klößner
,
Prof. Dr. Bernt Schiele
,
Dr. Sebastian Schuster
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Deadline
Exam
Exercise Sheet
Holiday
Lecture
Office Hour
Tutorial
Title
Type
Location
Serial
Start
End
All Day
Introduction to Data Science (Prof. Jens Dittrich)
Lecture
HS002
1
31.10.22
31.10.22
No
Machine Learning ANNs (Prof. Bernt Schiele)
Lecture
HS002
1
05.12.22
05.12.22
No
Guest lecture: Using Data Science to Study Society (Prof. Ingmar Weber)
Lecture
HS002
1
07.11.22
07.11.22
No
Self-Driving Cars (Prof. Bernt Schiele)
Lecture
HS002
1
09.02.23
09.02.23
No
NLP 4: Semantics (Dr. Sebastian Schuster)
Lecture
HS002
1
26.01.23
26.01.23
No
Machine Learning Intro (overview) (Prof. Bernt Schiele)
Lecture
HS002
1
28.11.22
28.11.22
No
Alpha Go (evaluation functions, AlphaGo) (Thorsten Klößner)
Lecture
HS002
1
12.01.23
12.01.23
No
Machine Learning Backpropagation (Prof. Bernt Schiele)
Lecture
HS002
1
12.12.22
12.12.22
No
Big Data & Databases 1 (Prof. Jens Dittrich)
Lecture
HS002
1
21.11.22
21.11.22
No
NLP 2: Syntax and Context Free Grammar (Dr. Sebastian Schuster)
Lecture
HS002
1
19.01.23
19.01.23
No
Python 2 (Joris Nix)
Lecture
HS002
1
14.11.22
14.11.22
No
Self-Driving Cars (Prof. Bernt Schiele)
Lecture
HS002
1
02.02.23
02.02.23
No
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