Calculus for Machine Learning and Data Science
Completed by Sadashiv Kumar
January 16, 2026
26 hours (approximately)
Sadashiv Kumar'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: Applied Mathematics
- Category: Computer Programming
- Category: Machine Learning
- Category: Deep Learning
- Category: Artificial Neural Networks
- Category: Numerical Analysis
- Category: Machine Learning Methods
- Category: Applied Machine Learning
- Category: Python Programming
- Category: Model Optimization
- Category: Machine Learning Software
- Category: Calculus
