Hello
Was wondering which machine learning techniques were most useful in the wild, and which order to tackle them in. I've made a start with naive Bayesian classifiers - but I'm wondering what to get to grips with next. Support vector machines? Neural nets?
Anyone who could fire back some ranked suggestions and/or learning resources would be a-ok by me. Thanks.