Teaching/ML-Kurs-SS2023
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Joerg Marks 2023-04-05 17:26:47 +02:00
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slides/01_intro_python.md
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@ -601,7 +601,7 @@ i) Display a numpy array as figure of a blue cross. The size should be 200
selects the inner part of the circle using the indexing. selects the inner part of the circle using the indexing.
\small \small
[Solution: 01_intro_ex_1a_sol.ipynb](https://www.physi.uni-heidelberg.de/~reygers/lectures/2022/ml/solutions/01_intro_ex_1a_sol.ipynb) \normalsize [Solution: 01_intro_ex_1a_sol.ipynb](https://www.physi.uni-heidelberg.de/~reygers/lectures/2023/ml/solutions/01_intro_ex_1a_sol.ipynb) \normalsize
ii) Read data which contains pixels from the binary file horse.py into a ii) Read data which contains pixels from the binary file horse.py into a
numpy array. Display the data and the following transformations in 4 numpy array. Display the data and the following transformations in 4
@ -609,7 +609,7 @@ ii) Read data which contains pixels from the binary file horse.py into a
and mirroring. and mirroring.
\small \small
[Solution: 01_intro_ex_1b_sol.ipynb](https://www.physi.uni-heidelberg.de/~reygers/lectures/2022/ml/solutions/01_intro_ex_1b_sol.ipynb) \normalsize [Solution: 01_intro_ex_1b_sol.ipynb](https://www.physi.uni-heidelberg.de/~reygers/lectures/2023/ml/solutions/01_intro_ex_1b_sol.ipynb) \normalsize
## Pandas ## Pandas

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slides/03_ml_intro.odp
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slides/03_ml_intro.pdf
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slides/introduction.md
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@ -15,7 +15,7 @@
- Machine learning - decision trees - Machine learning - decision trees
* **Day 4** * **Day 4**
- Machine learning - convolutional networks graph neural networks - Machine learning - convolutional networks and graph neural networks
* **Organization** and **Objective** * **Organization** and **Objective**
- \textcolor{red} {2 ETC: Compulsory attendance is required} \newline - \textcolor{red} {2 ETC: Compulsory attendance is required} \newline