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Tuesday, June 28 • 5:03pm - 5:21pm
Inside the Rent Zestimates

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Zillow, the leading real estate and rental marketplace in USA, uses R to estimate home values (Zestimates) and rental prices (Rent Zestimates). Every day, we refresh Zestimates and Rent Zestimates on Zillow.com for more than 100 million homes with output from scoring daily re-trained models. The model training and scoring infrastructure rests on top of R, allowing rapid prototyping and deployment to production servers. We make extensive use of R, including the development of an in-house package called ZPL that functions similar to MapReduce on Hadoop, but runs on relational databases. In this presentation, we will go under the hood to see parts of the engine that power the Rent Zestimates.

Moderators
avatar for Gabriela de Queiroz

Gabriela de Queiroz

Sr. Developer Advocate/Manager, IBM
Gabriela de Queiroz is a Sr. Engineering & Data Science Manager and a Sr. Developer Advocate at IBM where she leads the CODAIT Machine Learning Team. She works in different open source projects and is actively involved with several organizations to foster an inclusive community. She... Read More →

Speakers
avatar for Yeng  Bun

Yeng Bun

Principal Data Scientist, Zillow
Analyzing, modeling and programing with real-estate data as well as production software in R.


Attendees (117)