- #1
pablotano
- 9
- 0
I understand how using classical or bayesian statistical inference os often very helpful for solving information theory problems, or for improvements in data managing or manipulation of learning algorithms. But the other way around (using I.T knowledge to find a way in inference), I can't find it clear enough. Is information theory knowledge necessary (or at least recommended) for solving inference problems, like parameter estimation for example?