learning problems such as supervised learning and as you'll see after the break and reinforcement learning they do involve a challenging optimization problem and this is a bit of a subtle point which is that initialization because you're not embedding a known learning procedure into the meta learning process there's no inductive bias that points you in the right direction for how to learn from the data and as a result you have to learn how to learn from the data completely from scratch and as a result these methods can often be data