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Practical reasons to learn Mathematics for Data Science

Demystifying the need for learning math to deal with real-world challenges as an ML practitioner

Harshit Tyagi
Towards Data Science
8 min readMay 13, 2020

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Image by sandid from Pixabay

Mathematics in data science and machine learning is not about crunching numbers, but about what is happening, why it’s happening, and how we can play around with different things to obtain the results we want.

The misconceptions around learning Math for Data Science have been augmented by courses, videos, and blog posts with titles like “Data Science with No Math”, “Data Science for Developers”, “Machine Learning with no math” et cetera. And such posts exist because there are questions like:

  • Why do I need to study maths when I can simply invoke .fit() to train and .predict() to test my model?
  • Machine learning is about mastering the use of libraries like Sci-kit learn and tensorflow. Why waste time understanding the…

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Towards Data Science
Towards Data Science

Published in Towards Data Science

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Harshit Tyagi
Harshit Tyagi

Written by Harshit Tyagi

Director Data Science & ML at Scaler | LinkedIn's Bestselling Instructor | YouTuber

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