The real prerequisite for machine learning isn’t math, it’s data analysis

When beginners get started with machine learning, the inevitable question is “what are the prerequisites? What do I need to know to get started?” And once they start researching, beginners frequently find well-intentioned but disheartening advice, like the following: You need to master math. You need all of the following:– Calculus– Differential equations– Mathematical statistics– Optimization– Algorithm analysis– and– and– and …….. A list like this is enough to intimidate anyone but a person with an advanced math degree. It’s unfortunate, because I think a lot of beginners lose heart and are scared away by this advice. If you’re intimidated by the math, I have some good news for you: in order to get started building machine learning models (as opposed to doing machine learning theory), you need less math…


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