Describes how the data science team at Airbnb uses tools together to expedite the modeling process and lower the overall development costs for a specific use case of LTV modeling — predicting the value of homes on Airbnb.
Citing stories from Nokia to Netflix, Tricia Wang demystifies big data and identifies its pitfalls, suggesting that we focus instead on “thick data” – precious, unquantifiable insights from actual people – to make the right business decisions.
Love the story outlined in the first half of this article. The rest looks to expand our attention to the systems that these mechanisms support; systems in which our participation is often both transparent and involuntary.
If you want to solve some real-world problems and design a cool product or algorithm, then having machine learning skills is not enough. You need a good working knowledge of data structures. Check it out.
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