Rethinking Fast and Slow in Data Science
▻https://hackernoon.com/rethinking-fast-and-slow-in-data-science-b2ce18d5b054?source=rss----3a81
How to make data science experiments agileThe tension between long-term planning and short-term flexibility is everywhere, including data science methodology. Is it possible for product development teams to reconcile rapid iteration with the slow-moving behemoth of the deep research process, or must they pick one?Agile iteration or rigorously planned deep research: can data science have both, or must it choose?For our case study, we’ll take BrainQ. Spoiler alert: not only is it possible to reconcile fast and slow approaches to data science experiments, but the lessons BrainQ has learned along the way offer a roadmap your team can follow.BrainQ’s mission is to treat neuro-disorders with AI-powered technologies. If you were about to humor our discussion of agility, that probably stopped you (...)
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