Calculus in Machine Learning: Why it Works
Calculus is one of the core mathematical concepts in machine learning that permits us to understand the internal workings of different machine learning algorithms.
One of the important applications of calculus in machine learning is the gradient descent algorithm, which, in tandem with backpropagation, allows us to train a neural network model.
In this tutorial, you will discover the integral role of calculus in machine learning.
After completing this tutorial, you will know:
- Calculus plays an integral role in understanding the internal workings of machine learning algorithms, such as the gradient descent algorithm for minimizing an error function.
- Calculus provides us with the necessary tools to optimise complex objective functions as