Calculus for Machine Learning and Data Science
Completed by Sailee Mahesh Khedekar
February 17, 2026
26 hours (approximately)
Sailee Mahesh Khedekar'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: Python Programming
- Category: Applied Machine Learning
- Category: Machine Learning Methods
- Category: Machine Learning
- Category: Applied Mathematics
- Category: Computer Programming
- Category: Deep Learning
- Category: Artificial Neural Networks
- Category: Model Optimization
- Category: Numerical Analysis
- Category: Machine Learning Software
- Category: Calculus
