Calculus for Machine Learning and Data Science
Completed by Subrahmanya Vaidya
October 15, 2025
26 hours (approximately)
Subrahmanya Vaidya'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: Applied Machine Learning
- Category: Derivatives
- Category: Python Programming
- Category: Machine Learning Methods
- Category: Applied Mathematics
- Category: Deep Learning
- Category: Numerical Analysis
- Category: Artificial Neural Networks
- Category: Model Optimization
- Category: Machine Learning Software
