
Data and Science with Glen Wright Colopy is a podcast covering critical scientific reasoning, particularly from a data science / machine learning / statistics perspective. Episodes typically focus on understanding of how to be better scientists and critical thinkers for the practical purpose of being a better data scientists. Previously called: ”Pod of Asclepius”
Episodes

Monday Jul 19, 2021
Jason Costello | Data Science vs Software, Academia vs Industry
Monday Jul 19, 2021
Monday Jul 19, 2021
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.
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.
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?
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