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The Science of Online Data at Plenty of Fish with Thomas Levi

The Science of Online Data at Plenty of Fish with Thomas Levi

FromData Skeptic


The Science of Online Data at Plenty of Fish with Thomas Levi

FromData Skeptic

ratings:
Length:
59 minutes
Released:
Dec 5, 2014
Format:
Podcast episode

Description

Can algorithms help you find love? Many happy couples successfully brought together via online dating websites show us that data science can help you find love. I'm joined this week by Thomas Levi, Senior Data Scientist at Plenty of Fish, to discuss some of his work which helps people find one another as efficiently as possible.
Matchmaking is a truly non-trivial problem, and one that's dynamically changing all the time as new users join and leave the "pool of fish". This episode explores the aspects of what makes this a tough problem and some of the ways POF has been successfully using data science to solve it, and continues to try to innovate with new techniques like interest matching.
For his benevolent references, Thomas suggests readers check out All of Statistics as well as the caretlibrary for R. And for a self serving recommendation, follow him on twitter (@tslevi) or connect withThomas Levi on Linkedin.
Released:
Dec 5, 2014
Format:
Podcast episode

Titles in the series (100)

Data Skeptic is a data science podcast exploring machine learning, statistics, artificial intelligence, and other data topics through short tutorials and interviews with domain experts.