Jason Costello | Data Science vs Software, Academia vs Industry

<p>Interested in Data Science? Learn Data Science and Statistics from experts as they cover key topics in the field. The Data & Science podcast focusses on teaching data scientists how to think critically in order to solve data analysis problems across various scientific domains.</p> <p> </p> <p>Jason Costello | Data Science vs Software, Academia vs Industry Jason Costello (Hypervector) describes his (non-trivial) transition from academic research into big tech and then the healthcare industry. He outlines a strategy to find the cool research problems that you get in academia while still delivering value to your company. We then talk about the interface of data science / machine learning and software.</p> <p> </p> <p>0:00              Deploying Data Science into the Real World 8:24              Transitioning from Academic to Industrial Data Science 16:56            First step to delivering value to industry 21:38            Toy example of high value data science 25:28            Deep technical challenges are real and useful too! 29:59            Formalized logic in machine learning solutions 32:54            Data Science & Machine Learning Projects can fail. 38:50            Getting to the cool data science projects 47:21            Putting Machine Learning Models into Software 56:21            Software and Deduction, Machine Learning and Induction 1:06:06         Is Software A Deductive Complex System?</p> <p> </p>