Do you mind expanding a little bit on the "few types of patterns in ML and Big Data". Do you mean models, pipelines etc or something different. I am studying ML in grad school and I'm seeing way more patterns than just a few, almost too many to be honest if by patterns you mean models. I'd love to hear your view and what you meant by only few types of patters.