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#71 Scaling Machine Learning Adoption: A Pragmatic Approach

DataFramed

CHAPTER

Machine Learning and Data Science - Part Two

You must have a mastery of devops. You should know how to do continuous intigration, continues delivery. And so i think that's the fundamental now another step as well is i having some kind of a mechanism to manage your data. I think re inventing the wheel is a very bad idea. For people, you should just use the best toolats available. and then the final part of machine learning would be, you know, where are you deploying this model?

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