Calculus for Machine Learning and Data Science
Completed by Andre Podbereźniak
October 22, 2025
26 hours (approximately)
Andre Podbereźniak'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: Deep Learning
- Category: Applied Mathematics
- Category: Applied Machine Learning
- Category: Machine Learning Algorithms
- Category: Computer Programming
- Category: Machine Learning
- Category: Model Optimization
- Category: Numerical Analysis
- Category: Advanced Mathematics
- Category: Calculus
- Category: Artificial Neural Networks
