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

---General Info---
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: miklos@machinelearningcafe.org
Equipment: On the host's side the show is recorded with Rode Procaster and with Roland Quad-Capture audio interface.

---Copyright Info---
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/)