Calculus for Machine Learning and Data Science
Completed by Priya Maini
May 18, 2026
26 hours (approximately)
Priya Maini'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: Artificial Neural Networks
- Category: Model Optimization
- Category: Deep Learning
- Category: Numerical Analysis
- Category: Software Visualization
- Category: Derivatives
- Category: Python Programming
- Category: Machine Learning Algorithms
- Category: Machine Learning Methods
- Category: Applied Mathematics
- Category: Applied Machine Learning
- Category: Advanced Mathematics
