---
# System prepended metadata

title: Untitled

---


## Statistical Learning

#### Given:
data with p features $X \in R^{n,p}$
targets $y \in R^n$

#### Model:
find a model $\hat{y} = f_\beta(X)$ to predict $y$
where $\beta = \arg \min_\beta l(y,\hat{y})$ for some loss function $l$.


#### Question:
- what are possible $f$ and $l$?




