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AutoML as it Always Should Have Been
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Please join PyData Pittsburgh on Wednesday, July 12 for the talk AutoML as it Always Should Have Been with Greg Michaelson, cofounder at Zerve and previously one of the early employees at DataRobot. We'll be gathering at COhatch Shadyside, a brand-new co-working space on Walnut Street.
Please RSVP on the Meetup.com event listing here:
https://www.meetup.com/pydata-pittsburgh/events/294435441/
About the talk
When AutoML was popularized during the 2010s, there was a great hope that the citizen data scientist would take over machine learning and that business analysts everywhere would soon be building thousands of advanced AI-based solutions, ushering in the age of AI in business. Not only did that not happen, but even the name “AutoML” has become sullied along with the myth of the citizen data scientist. In this talk, Greg will discuss the launch of a brand new open source project, Pypelines, that promises to deliver AutoML as it should have been: open, flexible, code-based, and targeted at the only people generating value from machine learning — data science experts.
About Greg
Greg Michaelson is Cofounder and Chief Product Officer at Zerve, a young, stealthy startup that’s rethinking the data science development experience. Previously, Greg was an early joiner at DataRobot, where he played many roles, including Chief Customer Officer. Prior to that, he worked as a data scientist in the financial sector after earning a PhD in applied statistics from the University of Alabama. In his spare time, Greg manufactures a line of flavored breakfast cereal toppings called Cerup. He lives in Spring Creek, Nevada, with his wife, four children, and two Clumber Spaniels.
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Quick reminder that our AutoML as it Always Should Have Been event with Greg Michaelson is tomorrow. Remember to RSVP on Meetup.com if you haven't already. We look forward to seeing everyone there!
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Here are the slides from my presentation if anyone is interested!
If anyone is interested in signing up for our free beta, sign up at app.zerve.ai!