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Jason Costello | Data Science vs Software, Academia vs Industry
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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By Glen Wright Colopy
5
77 ratings
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?