Calculus for Machine Learning and Data Science

Overview

What you’ll learn

1. - Analytically optimize different types of functions commonly used in machine learning using properties of derivatives and gradients
2. - Approximately optimize different types of functions commonly used in machine learning
3. - Visually interpret differentiation of different types of functions commonly used in machine learning
4. - Perform gradient descent in neural networks with different activation and cost functions