Do you need to know math to do machine learning? Yes! The big 4 math disciplines that make up machine learning are linear algebra, probability theory, calculus, and statistics. I’m going to cover how each are used by going through a linear regression problem that predicts the price of an apartment in NYC based on its price per square foot. Then we’ll switch over to a logistic regression model to change it up a bit. This will be a hands-on way to see how each of these disciplines are used in the field.

Code for this video (with coding challenge):

https://github.com/llSourcell/math_of_machine_learning

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More learning resources:

https://towardsdatascience.com/the-mathematics-of-machine-learning-894f046c568

https://ocw.mit.edu/courses/mathematics/18-657-mathematics-of-machine-learning-fall-2015/

https://www.quora.com/How-do-I-learn-mathematics-for-machine-learning

https://courses.washington.edu/css490/2012.Winter/lecture_slides/02_math_essentials.pdf

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