Calculus for Machine Learning and Data Science
Completed by Fares Hatahet
August 1, 2025
26 hours (approximately)
Fares Hatahet'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: Software Visualization
- Category: Machine Learning Methods
- Category: Applied Mathematics
- Category: Python Programming
- Category: Machine Learning Algorithms
- Category: Machine Learning
- Category: Computer Programming
- Category: Numerical Analysis
- Category: Model Optimization
- Category: Applied Machine Learning
- Category: Deep Learning
- Category: Artificial Neural Networks
