How to Learn Multivariable Calculus for Machine Learning in 2021?

Do you have the same question- "How to Learn Multivariable Calculus for Machine Learning"?

If yes, then read this article.

Multivariate(Multivariable) Calculus helps in machine learning to explain the relationships between input and output variables. And Multivariate Calculus comes into the picture when you deal with a lot of features and huge data. That’s why familiarity with multivariate calculus is essential for building a machine learning model.

For machine learning, you need to learn the following Multivariate Calculus topics-

1. Functions of several variables,
2. Derivatives and gradients,
3. Step function,
4. Sigmoid function,
5. Logit function,
6. ReLU (Rectified Linear Unit) function,
7. Cost function,
8. Plotting of functions,
9. Minimum and Maximum values of a function.

The next question you might have-

What are the Resources to learn multivariable calculus?

So I have chosen 8 Best+FREE multivariable calculus Courses for Machine Learning & Data Science and here is the list-
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