Monthly Archives: June 2018

Categorizing Listing Photos at Airbnb

https://medium.com/airbnb-engineering/categorizing-listing-photos-at-airbnb-f9483f3ab7e3 Large-scale deep learning models are changing the way we think about images of homes on our platform. Authors: Shijing Yao, Qiang Zhu, Phillippe Siclait Airbnb is a marketplace featuring millions of homes. Travelers around the world search on the platform and discover the best homes for their trips. Aside from location and price, listing photos […]

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Compliance bias in mobile experiments

From unofficial Google data science blog by DANIEL PERCIVALhttp://www.unofficialgoogledatascience.com/2018/03/quicker-decisions-in-imperfect-mobile.html Randomized experiments are invaluable in making product decisions, including on mobile apps. But what if users don’t immediately uptake the new experimental version? What if their uptake rate is not uniform? We’d like to be able to make decisions without having to wait for the long […]

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Big data:Hadoop vs. Spark

  Big data is data sets that are so voluminous and complex that traditional data-processing application software are inadequate to deal with them. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. To understand the phenomenon that is big data, it is often described using five Vs: Volume, Velocity, Variety, Veracity and Value Volume refers to the vast amounts of […]

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