Calculus for Machine Learning and Data Science
Completed by Ahmed Esmail Aldiahy
January 31, 2026
26 hours (approximately)
Ahmed Esmail Aldiahy'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 Mathematics
- Category: Derivatives
- Category: Numerical Analysis
- Category: Machine Learning
- Category: Computer Programming
- Category: Artificial Neural Networks
- Category: Applied Machine Learning
- Category: Model Optimization
- Category: Deep Learning
- Category: Machine Learning Software
- Category: Machine Learning Methods
