![]() ![]() You should have a reasonable understanding of algebra, geometry, and trigonometry to grasp calculus. Now that we understand why calculus is an important prerequisite to understanding how machine learning algorithms work, let's learn what skills you need to learn calculus. 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.
0 Comments
Leave a Reply. |