![]() ![]() This study of multiple attributes is called multivariate calculus and is used in calculating the minimum and maximum values of a function, derivatives, cost functions, etc. Essentially, you need calculus to comprehend the association between a set of inputs and output variables. You need to know calculus to calculate derivatives, for example, to adjust the neuron weights in the backpropagation of a neural network. The post lists down the courses to learn calculus, but let's first understand the need to learn calculus. ![]() Linear algebra, statistics, probability, and calculus are the four key sub-fields that are pre-requisite to learning the internals of the algorithms. You can not escape mathematics if you wish to understand how machine learning algorithms work. ![]()
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