This commit is contained in:
Joerg Marks 2023-04-03 13:43:34 +02:00
parent e0a0d1ce02
commit f0458de5ba
2 changed files with 6 additions and 3 deletions

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@ -3,7 +3,10 @@
SRCS := $(wildcard *.md)
PDF := $(SRCS:%.md=%.pdf)
OPT := --pdf-engine=xelatex --variable mainfont="Helvetica" --variable sansfont="Helvetica" -t beamer -s -fmarkdown-implicit_figures --template=template.beamer --highlight-style=kate
#OPT := --pdf-engine=xelatex --variable mainfont="Helvetica" --variable sansfont="Helvetica" -t beamer -s -fmarkdown-implicit_figures --template=template.beamer --highlight-style=kate
OPT := -t beamer -s -fmarkdown-implicit_figures --template=template.beamer --highlight-style=kate
all: ${PDF}
%.pdf: %.md

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@ -523,7 +523,7 @@ $$ R = |\vec x - \vec y|$$
Better: take correlations between variables into account:
$$ R = \sqrt{(\vec{x}-\vec{y})^T \mat{V}^{-1} (\vec{x}-\vec{y})} $$
$$R = \sqrt{(\vec{x}-\vec{y})^T \mat{V}^{-1} (\vec{x}-\vec{y})}$$
$$ \mat{V} = \text{covariance matrix}, R = \text{"Mahalanobis distance"}$$
@ -933,7 +933,7 @@ Iris flower data set
\vspace{2ex}
\footnotesize
[\textcolor{gray}{03\_ml\_basics\_iris\_softmax\_regression.ipynb}](https://nbviewer.jupyter.org/urls/www.physi.uni-heidelberg.de/~reygers/lectures/2022/ml/examples/03_ml_basics_iris_softmax_regression.ipynb)
[\textcolor{gray}{03\_ml\_basics\_iris\_softmax\_regression.ipynb}](https://nbviewer.jupyter.org/urls/www.physi.uni-heidelberg.de/~reygers/lectures/2023/ml/examples/03_ml_basics_iris_softmax_regression.ipynb)
\vspace{19ex}