
003: Defining the Data Problem, Academia vs Career and R Modeling Libraries with Dr. Wilson Pok
Super Data Science: ML & AI Podcast with Jon Krohn
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Intro
The chapter explores Wilson Pock's journey from academia to data science, his statistical approach to solving business problems employing Bayesian inference and randomized control trials, the impact of data insights on driving business change, and the tools like R modeling libraries and Python IDE that he uses in his current role as a data scientist in Sydney.
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Transcript


