I like Benn Jordan because he’s clearly got a grasp on a functional understanding of machine learning, but that’s not his primary background. He comes from a music production background, so his focus is more practical and results-oriented.
It will be really interesting as this knowledge percolates into more and more fields, what domain experts do with it. I see ML as more of a bag of tricks that can be applied to many fields.
It will be really interesting as this knowledge percolates into more and more fields, what domain experts do with it. I see ML as more of a bag of tricks that can be applied to many fields.