Quick ML: logistic regression
Cost function
$$J(\theta) = \frac{1}{2m} \sum^m_{i=1} (H_\theta(X^{(i)}) - y^{(i)})^2$$
$$Cost(h_\theta(X), y) =
\begin{cases}
-log(h_\theta(X)),&\text{if }y=1 \\
-log(1-h_\theta(X)),&\text{if }y=0
\end{cases}
$$
P.S. Katex tips: in Hugo’s math mode, to get line separator for multi-line equations, use ‘\’ $\times 6$ instead of ‘\\‘. And if a function faild, add ‘\’ as escape char for random ‘_’s might help (annoying…I know…)