Elements of Data Science and Artificial Intelligence Prof. Dr. Vera Demberg, Prof. Dr. Jens Dittrich, Prof. Dr. Jörg Hoffmann, Prof. Dr. Bernt Schiele

Materials

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1. Slides
01 Administrative Regulations  (70 KB) rev 1
01 Introduction  (61 MB) rev 1
02 Introduction to Data Science  (29 MB) rev 1
03 Introduction to AI  (640 KB) rev 1
04 Introduction to Python see notebooks "04a Jupyter.ipynb", "04b Python Variables, Data Structures, and Control Logic.ipynb", and " 04c Hands-On.ipynb"
05 Introduction to Python see notebooks "05a Python Functions, Recursion, External Libraries" and "05b Hands-On"
06 Machine Learning Introduction  (5.1 MB) rev 1
06 Machine Learning Introduction — Neural Networks  (16 MB) rev 1
07 Machine Learning Backpropagation  (13 MB) rev 1
08 Machine Learning CNNs  (21 MB) rev 1
09 AlphaGo 1  (3.7 MB) Revision 3: Small changes in explanation of MCTS vs reinforcement learning. rev 3
10 AlphaGo 2  (2.5 MB) rev 1
2. Jupyter Notebooks
00 Hello World  (1.1 KB) rev 1
04a Jupyter  (3.9 MB) renamed to match slide numbering rev 3
04b Python Variables, Data Structures, and Control Logic  (50 KB) renamed to match slide numbering rev 3
04c Hands-On  (11 KB) renamed to match slide numbering rev 2
05a Python Functions, Recursion, External Libraries  (38 KB) removed numpy rev 3
05b Hands-On  (5.2 KB) rev 1
cars.pandas  (34 KB) rev 1
Vagrantfile  (1.6 KB) rev 1


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