mentioned before you can view the problem of supervised learning as an inference problem where I goes in for a set of parameters using data and the way that we solve supervised learning problems is through optimization and these optimization perches are quite scalable so what if we treat the problem of inferring a set of parameters from data and using meta parameters as exactly an optimization problem and and this is what optimization based approaches do and so the key idea here is that we're going to acquire our task