Calculus is an important field in mathematics, and it plays an integral role in many machine learning algorithms. After you complete this course, you will know the necessary calculus to support intermediate machine learning techniques.
In this Calculus for Machine Learning course, you’ll learn about linear and nonlinear functions, as well as how to decompose a linear equation into slope and y-intercept. You will also learn how to calculate the slope, as well as limits and how to compute them in Python using SymPy, a Python library for symbolic computation. Finally, you’ll learn about derivatives!
Best of all, you’ll learn by doing — you’ll practice and get feedback directly in the browser.
Understanding key calculus concepts
Understanding mathematical functions
Applying calculus to intermediate machine learning
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