EP 7: Data Science & MLOps

Latest coffee chat session on Data Science features Aaron Blythe, Data Scientist and Solution Architect at Google. During this discussion, Aaron talked about various topics such as 1) essential toolkit to become a Data Scientist, 2) fundamental difference between a Data Scientist and a ML Engineers and how they can work in collaborative environment to develop sophisticated pipeline for model deployment? 3) significance of MLOps practice to modernize the Data Science model deployment pipeline by bringing CI/CD culture in Data Science world. Important learning materials: https://martinfowler.com/articles/dat... https://ml-ops.org/ Share your questions/comments below. Today's guest speaker Aaron can be reached at https://www.linkedin.com/in/aaronblythe/