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How Airbnb Democratizes Data Science With Data University
How Airbnb Democratizes Data Science With Data University
By Jeff Feng, Erin Coffman & Elena Grewal
Jeff Feng
May 24
Selection Bias in Online Experimentation
Selection Bias in Online Experimentation
A Method for Winner’s Curse in A/B Testing
Milan Shen
May 29
4 Principles for Making Experimentation Count
4 Principles for Making Experimentation Count
Experimentation is hard work
lindsay m pettingill
Mar 21
Democratizing Data at Airbnb
Democratizing Data at Airbnb
By Chris Williams, Eli Brumbaugh, Jeff Feng, John Bodley, and Michelle Thomas
Chris C Williams
May 12
Scaling Airbnb’s Experimentation Platform
Scaling Airbnb’s Experimentation Platform
At Airbnb, we are constantly iterating on the user experience and product features. This can include changes to the look and feel of the…
Jonathan Parks
May 10
Automated Machine Learning — A Paradigm Shift That Accelerates Data Scientist Productivity @ Airbnb
Automated Machine Learning — A Paradigm Shift That Accelerates Data Scientist Productivity @ Airbnb
By Hamel Husain & Nick Handel
Hamel Husain
May 10
Superset: Scaling Data Access and Visual Insights at Airbnb
Superset: Scaling Data Access and Visual Insights at Airbnb
By Alanna Scott, Bogdan Kyryliuk, Eli Brumbaugh, Jeff Feng, Max Beauchemin and Vera Liu
Jeff Feng
Feb 9
How we deliver insights to hosts
How we deliver insights to hosts
By Deepank Gupta & Kidai Kwon
AirbnbEng
Dec 13, 2016
Experiment Reporting Framework
Experiment Reporting Framework
By Will Moss
AirbnbEng
May 29, 2014
Interning with the Airbnb PX & SX Teams
By Anna Matlin
AirbnbEng
Nov 28, 2016
Academia to Data Science
Academia to Data Science
By Avneesh Saluja, Alok Gupta, Cuky Perez
AirbnbEng
Oct 19, 2016
Using googlesheets and mailR packages in R to automate reporting
By Pauline Glikman
AirbnbEng
Sep 8, 2016
Rio August 2016
Rio August 2016
How the world planned a trip to Rio on Airbnb
AirbnbEng
Aug 18, 2016
Superset: Airbnb’s data exploration platform
Superset: Airbnb’s data exploration platform
By Maxime Beauchemin
AirbnbEng
Mar 30, 2016
Using R packages and education to scale Data Science at Airbnb
Using R packages and education to scale Data Science at Airbnb
By Ricardo Bion
AirbnbEng
Mar 29, 2016
Building for Trust
Building for Trust
Insights from our efforts to distill the fuel for the sharing economy
AirbnbEng
Mar 14, 2016
Location Relevance at Airbnb
Location Relevance at Airbnb
aka knowing where you want to go in places we’ve never been
AirbnbEng
May 1, 2013
How Airbnb uses Machine Learning to Detect Host Preferences
How Airbnb uses Machine Learning to Detect Host Preferences
By Bar Ifrach
AirbnbEng
Apr 13, 2015
At Airbnb, Data Science Belongs Everywhere
At Airbnb, Data Science Belongs Everywhere
By Riley Newman
AirbnbEng
Jul 7, 2015
Anomaly Detection for Airbnb’s Payment Platform
Anomaly Detection for Airbnb’s Payment Platform
By Jingxiao Lu
AirbnbEng
Aug 18, 2015
Scaling Knowledge at Airbnb
Scaling Knowledge at Airbnb
by Chetan Sharma and Jan Overgoor
AirbnbEng
Feb 25, 2016
How well does NPS predict rebooking?
How well does NPS predict rebooking?
by Lisa Qian
AirbnbEng
Dec 10, 2015
Data Infrastructure at Airbnb
Data Infrastructure at Airbnb
By James Mayfield, Krishna Puttaswamy, Swaroop Jagadish, and Kevin Long
AirbnbEng
Feb 23, 2016
Beginning with Ourselves
Beginning with Ourselves
by Riley Newman and Elena Grewal
AirbnbEng
Feb 18, 2016
Confidence Splitting Criterions Can Improve Precision And Recall in Random Forest Classifiers
Confidence Splitting Criterions Can Improve Precision And Recall in Random Forest Classifiers
AirbnbEng
Oct 20, 2015
Unboxing the Random Forest Classifier: The Threshold Distributions
Unboxing the Random Forest Classifier: The Threshold Distributions
AirbnbEng
Oct 1, 2015
Overcoming Missing Values In A Random Forest Classifier
Overcoming Missing Values In A Random Forest Classifier
AirbnbEng
Apr 7, 2015
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