Calculus for Machine Learning and Data Science
Completed by Abdullah Hossam Siam
February 19, 2026
26 hours (approximately)
Abdullah Hossam Siam'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: Computer Programming
- Category: Machine Learning
- Category: Software Visualization
- Category: Machine Learning Methods
- Category: Model Optimization
- Category: Numerical Analysis
- Category: Derivatives
- Category: Applied Machine Learning
- Category: Python Programming
- Category: Machine Learning Algorithms
- Category: Applied Mathematics
- Category: Deep Learning
