Mar 4, 2020
In this episode our guest is Max Sklar who works as Engineering and Innovation Labs advisor at Foursquare. We talked about ratings and the problems about deciding if a rating is positive or negative, and the problems about different languages. In the second part of the show we talked about marketing attribution and causality.
Max’s Linkedin: https://www.linkedin.com/in/max-sklar-b638464/
The Local Max Radio (podcast): https://www.localmaxradio.com/
Publication Timely Tip Selection for Foursquare Recommendations: http://ceur-ws.org/Vol-1247/recsys14_poster18.pdf
Venue rating system blog post: https://medium.com/foursquare-direct/finding-the-perfect-10-how-we-developed-the-foursquare-venue-rating-system-c76b08f7b9b3
About the host: Miklos Toth is a Machine Learning enthusiast who is also teaching Machine Learning and Deep Learning at international companies, working on various ML projects as an engineer.
About the co-host: Levente Szabados is a Deep tech leader, consultant, and manager with a special interest in artificial intelligence, cognitive sciences, data science, and deep learning. He is teaching various ML courses at the Frankfurt School of Finance and Management.
About the podcast: The podcast was created to serve the technical community with details of ML algorithms, use-cases. The episodes are recorded in Budapest, Hungary, Europe.
Website of the podcast: http://machinelearningcafe.org/
Host's LinkedIn: https://www.linkedin.com/in/miklostoth/
Co-Host LinkedIn: https://www.linkedin.com/in/levente-szabados-76334728/
Write an email to the host: email@example.com
Equipment: On the host's side the show is recorded with Rode Procaster and with Roland Quad-Capture audio interface.
Music is from https://filmmusic.io, intro first part is by Miklos Toth and some free garage band loops. :) intro second part: "Aces High" by Kevin MacLeod, outro "Acid Trumpet" by Kevin MacLeod (https://incompetech.com), License: CC BY (http://creativecommons.org/licenses/by/4.0/)