Mathematical programming — a key habit to built up for advancing in data science

Mathematical programming — a key habit to built up for advancing in data science

5 years ago
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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.