Teaching/ML-Kurs-SS2023
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slides/introduction.md
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@ -132,7 +132,7 @@ scipy scikit-learn xgboost iminuit tensorflow tensorflow_datasets Keras
0. Introduction (this file) \hspace{0.1cm} \footnotesize (\textcolor{gray}{introduction.pdf}) \normalsize 0. Introduction (this file) \hspace{0.1cm} \footnotesize (\textcolor{gray}{introduction.pdf}) \normalsize
1. Introduction to python \hspace{0.1cm} \footnotesize (\textcolor{gray}{01\_intro\_python\_*}) \normalsize 1. Introduction to python \hspace{0.1cm} \footnotesize (\textcolor{gray}{01\_intro\_python\_*}) \normalsize
2. Data modeling and fitting \hspace{0.1cm} \footnotesize (\textcolor{gray}{02\_fit\_intro\_*}) \normalsize 2. Data modeling and fitting \hspace{0.1cm} \footnotesize (\textcolor{gray}{02\_fit\_intro\_*}) \normalsize
3. Machine learning basics \hspace{0.1cm} \footnotesize (\textcolor{gray}{03\_ml\_basics\_*}) \normalsize 3. Machine learning basics \hspace{0.1cm} \footnotesize (\textcolor{gray}{03\_ml\_intro\_*}) \normalsize
4. Decisions trees \hspace{0.1cm} \footnotesize (\textcolor{gray}{04\_decision\_trees\_*}) \normalsize 4. Decisions trees \hspace{0.1cm} \footnotesize (\textcolor{gray}{04\_decision\_trees\_*}) \normalsize
5. Neural networks \hspace{0.1cm} \footnotesize (\textcolor{gray}{05\_neural\_networks\_*}) \normalsize 5. Neural networks \hspace{0.1cm} \footnotesize (\textcolor{gray}{05\_neural\_networks\_*}) \normalsize
\vspace{3.5cm} \vspace{3.5cm}
@ -165,7 +165,7 @@ scipy scikit-learn xgboost iminuit tensorflow tensorflow_datasets Keras
## Programm Day 2 ## Programm Day 2
* Introduction to machine learning * Introduction to machine learning [\textcolor{violet}{03\_ml\_intro.pdf}](https://www.physi.uni-heidelberg.de/~reygers/lectures/2023/ml/transparencies/03_ml_intro.pdf)
* Tensorflow / Keras, datasets * Tensorflow / Keras, datasets
* Supervised learning * Supervised learning
@ -173,7 +173,7 @@ scipy scikit-learn xgboost iminuit tensorflow tensorflow_datasets Keras
\vspace{0.5cm} \vspace{0.5cm}
* Multivariate analysis * Multivariate analysis [\textcolor{violet}{03\_ml\_intro\_mva.pdf}](https://www.physi.uni-heidelberg.de/~reygers/lectures/2023/ml/transparencies/03_ml_intro_mva.pdf)
* Regression * Regression
* Linear regression * Linear regression
@ -192,6 +192,10 @@ scipy scikit-learn xgboost iminuit tensorflow tensorflow_datasets Keras
* XGBoost * XGBoost
\vspace{0.5cm}
[\textcolor{violet}{04\_decision\_trees.pdf}](https://www.physi.uni-heidelberg.de/~reygers/lectures/2023/ml/transparencies/04_decision_trees.pdf)
\vspace{5cm} \vspace{5cm}
## Programm Day 4 ## Programm Day 4
@ -202,4 +206,10 @@ scipy scikit-learn xgboost iminuit tensorflow tensorflow_datasets Keras
* Hand-written digit recognition with Keras * Hand-written digit recognition with Keras
\vspace{0.5cm}
[\textcolor{violet}{05\_neural\_networks.pdf}](https://www.physi.uni-heidelberg.de/~reygers/lectures/2023/ml/transparencies/05_neural_networks.pdf)
\vspace{5cm} \vspace{5cm}