Mathematical programming — a key habit to built up for advancing in data science
https://towardsdatascience.com/mathematical-programming-a-key-habit-to-built-up-for-advancing-in-data-science-c6d5c29533be
Tirthajyoti SarkarBlockedUnblockFollowFollowingApr 14IntroductionThe essence of mathematical programming is that you build a habit of coding up mathematical concepts, especially the ones involving a series of computational tasks in a systematic manner.
This kind of programming habit is extremely useful for a career in analytics and data science, where one is expected to encounter and make sense of a wide variety of numerical patterns every day. The ability of mathematical programming helps in rapid prototyping of quick numerical analyses, which are often the first steps in building a data model.
Mathematical programming — a key habit to built up for advancing in data science
Apr 15, 2019, 1:15am UTC
https://towardsdatascience.com/mathematical-programming-a-key-habit-to-built-up-for-advancing-in-data-science-c6d5c29533be
> Tirthajyoti SarkarBlockedUnblockFollowFollowingApr 14IntroductionThe essence of mathematical programming is that you build a habit of coding up mathematical concepts, especially the ones involving a series of computational tasks in a systematic manner.
> This kind of programming habit is extremely useful for a career in analytics and data science, where one is expected to encounter and make sense of a wide variety of numerical patterns every day. The ability of mathematical programming helps in rapid prototyping of quick numerical analyses, which are often the first steps in building a data model.