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lean + design thinking in building data products

talk given to "Columbia startup teams including 2016 CVC winners, Ignition Grant winners, TFP fellows, and ASCENT fellows" as part of a mini-bootcamp for founders at columbia's engineering school 2016-05-24

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lean + design thinking
in building data
products
chris wiggins
2016-05-24
associate prof @ columbia
chief data scientist @ nyt
cofounder @ hackNY
…a good definition of a data product is a product that
facilitates an end goal through the use of data.
Before investing in a big effort, you need to answer one
simple question: Does anyone want or need your product?
…start with something simple that lets you determine whether
there are any customers…It doesn’t have to be a great
solution; it just has to be good enough to let you know
whether it’s worth going further (e.g., a minimum viable
product).
https://steveblank.com/2014/07/30/driving-corporate-innovation-design-thinking-customer-development/
recommendation as predictive modeling
bit.ly/AlexCTM
(actually ML, shhhh…)
h/t michael littman
(actually ML, shhhh…)
h/t michael littman
(unsupervised
learning)
(supervised
learning)
(reinforcement
learning)
(generative
modeling)

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