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#107 Developing New Products Using Machine Learning with Max Sklar - Engineering and Innovation Labs Advisor and Podcast Host
Publisher |
Felipe Flores
Media Type |
audio
Categories Via RSS |
Technology
Publication Date |
May 05, 2020
Episode Duration |
00:38:55

The Local Maximum is hosted and produced by Max Sklar. Max is a software engineer and new product developer by trade, with a focus on machine learning, Bayesian inference, content discovery, and prototyping. The bulk of his work as a machine learning engineer was at Foursquare, where he built Foursquare City Guide’s critically acclaimed 10-point venue rating system and the Marsbot app. More recently, he led the development of a causality model for Foursquare’s Ad Attribution product and now works at Foursquare’s innovation lab.

Enjoy the show!

We speak about:

  • [00:30] About Max Sklar
  • [02:00] How did you get into the world of data?
  • [06:05] About the recommender system at Foursquare
  • [10:15] Why do you like solving open-ended problems?
  • [12:20] How has your new role been?
  • [14:20] What are the benefits of staying at a company for a long period of time?
  • [16:30] About Marsbot
  • [20:00] About the attribution side of Foursquare
  • [26:40] How do you pick the innovations you are going to try?
  • [28:50] How does the monthly pitch day work?
  • [31:20] About Local Max Radio

Resources:

Podcast: https://www.localmaxradio.com/

LinkedIn: https://www.linkedin.com/in/max-sklar-b638464/

Facebook:  https://www.facebook.com/localmaxradio/

Twitter: https://twitter.com/maxsklar

Marsbot: https://marsbotapp.com

Foursquare: https://foursquare.com

Quotes:

  • “Try a few ways and see what works.”
  • “I am looking forward to seeing what kind of trouble people cause.”
  • “I focus on making a splash on pushing forward technology.”
  • “Getting things to work that no one has necessarily tried before - that no one in our company has tried before.”
  • “It's tough to describe probability functions to end clients, it's always good to have that on your side”.

Thank you to our sponsors:

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And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. Thank you so much for listening. Enjoy the show!

--- Send in a voice message: https://podcasters.spotify.com/pod/show/datafuturology/message

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