Ruby Childs & Nick Sorros - Making Recommendations without Data
601 views · Published 8 May 2016 · 28:01 · Indexed 22 September 2026
Channel: PyData · 2016 · Science & Technology
PyData London 2016 As Data Scientists, we often assume we have data! It’s crazy not to. What should you recommend to a new user when you know nothing about them? In this talk we will discuss the challenges we faced, the assumption we took and the solutions we came up with while building a recommendations system for an interest based social network with limited data. 00:00 Welcome! 00:10 Help us add time stamps or captions to this video! See the description for details. Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps
More from this channel
-
41:50
Shawn Scully: Creating an intelligent world at Dato
-
24:46
Dino Viehland & Raymond Laghaeian: Jupyter Notebooks and ML Model Operationalization
-
34:32
Scott Sanderson: Developing an Expression Language for Quantitative Financial Modeling
-
44:04
Cornelia Levy-Bencheton (Keynote): The Pain of Discipline and the Power of Not Yet
-
39:28
Sergii Khomenko - From Data Science to Production - deploy, scale, enjoy!
-
38:29
Simon Byrne - Julia for data analysis
-
49:10
Rui Miguel Forte - The CV: A Data Scientist's View
-
50:23
PyData London 2016 Lightning Talks and Closing Address