Calculus for Machine Learning and Data Science
Completed by Gaurav Saraf
March 15, 2026
26 hours (approximately)
Gaurav Saraf'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: Data Visualization
- Category: Machine Learning Methods
- Category: Python Programming
- Category: Derivatives
- Category: Model Optimization
- Category: Numerical Analysis
- Category: Applied Mathematics
- Category: Computer Programming
- Category: Mathematical Modeling
- Category: Applied Machine Learning
- Category: Artificial Neural Networks
- Category: Machine Learning
