Calculus for Machine Learning and Data Science
Completed by Evan Thomas John
September 9, 2025
26 hours (approximately)
Evan Thomas John'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: Advanced Mathematics
- Category: Derivatives
- Category: Machine Learning
- Category: Computer Programming
- Category: Calculus
- Category: Deep Learning
- Category: Artificial Neural Networks
- Category: Model Optimization
- Category: Python Programming
- Category: Machine Learning Algorithms
- Category: Applied Machine Learning
- Category: Numerical Analysis
