As promised in my previous post, here’s a complimentary talk to that one.
Giving this talk was particularly memorable because I was back in the Bay Area, back where I got my data science-in-business start, and back with so many of my first data colleagues. After learning so much from the data community in NorCal, it was a joy to bring them something in return.
To be honest, I was a bit worried that the audience would find this very practical, very look-behind-the-curtain talk too irreverent to the myth of the all-magical, all-fixing data science. But I was delighted to find the talk very well received. In the midst of the data science hype, a bit of bubble bursting and some guidelines for practical oversight seemed to be just what was needed.