# Notes on "Math4IQB Hopfield Networks"

- Original video
- https://www.youtube.com/watch?v=gfPUWwBkXZY

## Glossary

```
information gain
[data mining]
The amount of information that's gained by
knowing the value of the attribute, which
is the entropy of the distribution before
the split minus the entropy of the
distribution after it.
The largest information gain is equivalent
to the smallest entropy.
vim +/"mutual information" "$NOTES/ws/glossaries/information-theory.txt"
information gain ratio
[#decision tree learning]
Ratio of information gain to the intrinsic
information.
It was proposed by Ross Quinlan, to reduce
a bias towards multi-valued attributes by
taking the number and size of branches
into account when choosing an attribute.
```

## Notes

A decision tree where logistic regression is used for each decision \({\displaystyle <:}\) ANN.

Instead of using information gain at each node, you use logistic regression.

## Logistic regression

```
vim +/"logistic regression$" "$NOTES/glossary.txt"
```

```
Popular Architectures
[#deep learning]
- Linear Classifier
Simple architecture that takes input
features and combines them with weights
and biases to predict an output value.
One of the built in Esimators.
```

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