- Calculus
- Mathematical Modeling
- Machine Learning
- Regression Analysis
- Applied Mathematics
- Deep Learning
- Numerical Analysis
- Artificial Neural Networks
- Python Programming
- Derivatives
Calculus for Machine Learning and Data Science
Completed by Lasse Schwenger
April 12, 2025
26 hours (approximately)
Lasse Schwenger'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
