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I'm a math major with a burning passion for pure mathematics (to the point of obsession). However as I graduate I wanted to work in an industry that best utilise my math skills which brings me to my question.

Does working in machine learning, deep learning and AI requires advanced math skills such as differential geometry and functional analysis? How does knowing such math topics helps in the work of a machine learning and AI practioner?

I'm a math major with a burning passion for pure mathematics. However as I graduate I wanted to work in an industry that best utilise my math skills which brings me to my question.

Does working in machine learning, deep learning and AI requires advanced math skills such as differential geometry and functional analysis? How does knowing such math topics helps in the work of a machine learning and AI practioner?

I'm a math major with a burning passion for pure mathematics (to the point of obsession). However as I graduate I wanted to work in an industry that best utilise my math skills which brings me to my question.

Does working in machine learning, deep learning and AI requires advanced math skills such as differential geometry and functional analysis? How does knowing such math topics helps in the work of a machine learning and AI practioner?

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Are pure math topics like functional analysis and differential geometry useful for machine learning and AI?

I'm a math major with a burning passion for pure mathematics. However as I graduate I wanted to work in an industry that best utilise my math skills which brings me to my question.

Does working in machine learning, deep learning and AI requires advanced math skills such as differential geometry and functional analysis? How does knowing such math topics helps in the work of a machine learning and AI practioner?