I had the good luck to stumble into a week-long intensive lecture series with Jerry Friedman in 1989, a sort of summer school for twenty-something assistant professors and the like. At the time I was a young economist in DC at the Federal Reserve Board, and the lectures were just down the street at GW.
I thought I would attend to learn some non-parametrics, and I definitely did learn some non-parametrics. But far more than that, Jerry opened my eyes to what would be unfolding for the next half-century -- flexible, algorithmic, high-dimensional methods -- the statistics of "Big Data" and "machine learning".
I just found the binder containing his lecture notes. The contents appear below. Read the opening overview, "Modern Statistics and the Computer Revolution". Amazingly prescient. Remember, this was 1989!
[Side note: There I also had the pleasure of first meeting Bob Stine, who has now been my esteemed Penn Statistics colleague for more than 25 years.]