Let us assume we implement an AND function to a single neuron. Below is a tabular representation of an AND function:The minimum time complexity for training an SVM is O$($n$2).$ According to this fact, what sizes of datasets are

not best suited for SVMs$?$

a$.$ Size does not matter

b$.$ Large datasets

c$.$ Small datasets

d$.$ Medium$-$sized datasets

The activation function of our neuron is denoted as:

$f(x)=\{\begin{array}{ccc}0,& \text{f}\text{o}\text{r}& x<mn\; id="EditorElement\_3459911">0</mn>\\ 1,& \text{f}\text{o}\text{r}& x0\end{array}$

What would be the weights and bias?

$($Hint: For which values of w$1,$ w$2$ and b does our neuron implement an AND function?$)$

a$.$ Bias $=-1\mathrm{.}5,w1=1,w2=1$

b$.$ None of these

c$.$ Bias $=1\mathrm{.}5,w1=2,w2=2$