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A road map for mathematics required for Machine Learning?

Hi guys,

As a business student, I would love to study more about Machine Learning so that I can apply the knowledge in business context. However, my mathematics background is not strong enough, encouraging me to review it from the very basic one such as linear algebra and calculus. Is there any recommendations on the mathematics road map that I should follow to truly understand many machine learning?

Thank you in advance.

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