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