Calculus for Machine Learning and Data Science
Completed by Iryna Shatravka
January 21, 2026
26 hours (approximately)
Iryna Shatravka's account is verified. Coursera certifies their successful completion of Calculus for Machine Learning and Data Science
What you will learn
Analytically optimize different types of functions commonly used in machine learning using properties of derivatives and gradients
Approximately optimize different types of functions commonly used in machine learning
Visually interpret differentiation of different types of functions commonly used in machine learning
Perform gradient descent in neural networks with different activation and cost functions
Skills you will gain
- Category: Machine Learning Software
- Category: Calculus
- Category: Artificial Neural Networks
- Category: Model Optimization
- Category: Deep Learning
- Category: Numerical Analysis
- Category: Derivatives
- Category: Data Visualization
- Category: Machine Learning
- Category: Applied Mathematics
- Category: Computer Programming
- Category: Machine Learning Methods
