I need help to solve problem

Manually fit a linear function h$\_(\backslash$theta $)($vec$($x$))=$vec$(\backslash$theta $)^($T$)*$vec$($x$)$ based on the following training instances using the stochastic gradient descent algorithm. The initial values of parameters are $\backslash$theta $\_(0)=0\mathrm{.}1,\backslash$theta $\_(1)=0\mathrm{.}1,\backslash$theta $\_(2)=0\mathrm{.}1.$ The learning rate $\backslash$alpha is $0\mathrm{.}1.$ Please update each parameter at least five times.

X$\_1,$X$\_2,$Y

$002$

$013$

$103$

$114$