Materials
You need to login in order to access more course material.
| 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, rev 3) |
Slides for the lectures on November 14 and 18. Revision 3: Small changes in explanation of MCTS vs reinforcement learning. |
|
| 10 AlphaGo 2 (2.0 MB, rev 2) | Slides for the lectures on November 18 and 21. | |
| 15 Object detection and segmentation (41 MB, rev 1) | ||
| 16 Intro to language processing (13 MB, rev 1) | ||
| 17 Syntax and semantics of natural language (2.4 MB, rev 1) | ||
| 18 Sprachmodelle (2.9 MB, rev 1) | ||
| 19 Sprachgenerierung (8.0 MB, rev 1) | ||
| 20 Pragmatik (6.6 MB, rev 1) | ||
| 21 Machine Translation (5.0 MB, rev 1) | ||
| 22 Databases 1 (5.7 MB, rev 1) | ||
| 23 Databases 2 (91 MB, rev 1) | ||
| 24 Databases 3 (313 KB, rev 1) | ||
| 25 Databases 4 (11 MB, rev 1) | ||
| relevant for exam (2.1 KB, rev 4) |
added entries for Databases 1--4 remove extension from file name |
| 00 Hello World (1.1 KB, rev 1) | ||
| 04a Jupyter (3.9 MB, rev 3) | renamed to match slide numbering | |
| 04b Python Variables, Data Structures, and Control Logic (50 KB, rev 3) | renamed to match slide numbering | |
| 04c Hands-On (11 KB, rev 2) | renamed to match slide numbering | |
| 05a Python Functions, Recursion, External Libraries (38 KB, rev 3) | removed numpy | |
| 05b Hands-On (5.2 KB, rev 1) | ||
| 22 CPU vs IO, a Performance Primer (43 KB, rev 1) | ||
| 22 LRU buffer (5.4 KB, rev 1) | ||
| 24 Indexing by Recursive External Partitioning (30 KB, rev 1) | ||
| 25 Digit-wise vs Integer-comparison (4.3 KB, rev 1) | ||
| 25 z-codes (12 KB, rev 1) | ||
| cars.pandas (34 KB, rev 1) | ||
| DE.shuffled (23 MB, rev 1) | remove extension from file name | |
| Vagrantfile (5.7 KB, rev 2) | command to upgrade: vagrant up --provision-with miniconda,python-packages |
All electronic documents for this lecture are made available exclusively for your studies and must not be forwarded, nor reproduced, nor used in other documents. Individual figures may originate from copyrighted sources even when not explicitly designated as such.