For anyone who wants to dig a bit deeper: PRML by Bishop [0].
An amazing work as a general introduction to machine learning and Bayesian in general.
MacKay's book [1] is a bit more opinionated regarding Bayesian methods.
Even if you do not become purely Bayesian, it advances your understanding of to approach data quiet a bit compared to the generic "oh data, lets throw a NN at it".