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Recommender Systems Live from FARCON 2017

Recommender Systems Live from FARCON 2017

FromData Skeptic


Recommender Systems Live from FARCON 2017

FromData Skeptic

ratings:
Length:
46 minutes
Released:
Sep 15, 2017
Format:
Podcast episode

Description

Recommender systems play an important role in providing personalized content to online users. Yet, typical data mining techniques are not well suited for the unique challenges that recommender systems face. In this episode, host Kyle Polich joins Dr. Joseph Konstan from the University of Minnesota at a live recording at FARCON 2017 in Minneapolis to discuss recommender systems and how machine learning can create better user experiences. 
Released:
Sep 15, 2017
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.