I’ve been working with data for my entire professional career. Following my interests, I’ve worked on ever-more-analytically sophisticated systems as my career has progressed, leading to a focus on machine learning and artificial intelligence systems.

As my work content evolved from more traditional data-warehousing sorts of tasks to building machine learning systems, I was struck by a strange absence. When I was working primarily with databases, I could rely on the rich body of academic and professional literature about how to build databases and applications that interact with them to help me define what a good design was. So, I was confused and surprised to find that machine learning as a field generally lacked this sort of guidance. ...

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