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" | ||
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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 |
| 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 |