There's a lot of confusion over what a "data scientist" is these days, and the job titles can mean multiple things to multiple people. It's also getting tougher for new entrants into the job market. Max breaks it down and gives advice for those looking to break in.
On the technical side, Max starts with the argument from analogy, a philosophical argument that works alongside Bayes which we use without knowing every single day. Then, a connection to machine learning is made with a description of the Nearest Neighbor (kNN) algorithm, and the specific use case at Foursquare.
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