Calculus for Machine Learning and Data Science

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