Machine Learning, Calculus, Linear Algebra, Data Science, Deep Learning.
fundamental to machine learning. Gradient descent, a widely used optimization algorithm, relies on the derivatives of a function. Let’s take a simple example: f(x) = x² To find the derivative f′(x), we can use Python: import sympy as sp x = sp.symbols('x') f = x**2 derivative = sp.diff(f, x)