front matter
preface
I can’t pin down a moment or weave a convincing anecdote that explains how I came to realize that writing a book about how to manage a machine-learning project would be a good thing to do. The gist of it is that sometime in 2019 I realized that I was talking to a lot of people who had started an ML project and were in trouble with it, and usually I knew why.
There wasn’t one common malady or even a single theme, rather failures seemed to come from lots of different directions. Disparate as the failings of these projects were, there was a common cause at work here. The folks leading these projects were talented, clever, articulate, and skilled, but they were inexperienced.
I was very lucky in the timing of my career. I got ...
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