363: Intuition, Frameworks, and Unlocking the Power of Data
Super Data Science: ML & AI Podcast with Jon Krohn
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The Importance of Hypothesis Driven Data Science
Data science starts from flushing out the question, laying out a hypothesis driven plan. The next step is use recipes to derive insights. At the end of it, share your early insights with your stakeholder and see if that's making sense. Then the last step of this bother framework is recommendation. So you make recommendations or you instrument your model, your Instrument, your insights, whatever have you.
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