Calculus for Machine Learning and Data Science
Completed by Gregory Michael Hoffman
September 10, 2025
26 hours (approximately)
Gregory Michael Hoffman'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 Machine Learning
- Category: Numerical Analysis
- Category: Model Optimization
- Category: Deep Learning
- Category: Artificial Neural Networks
- Category: Software Visualization
- Category: Machine Learning
- Category: Computer Programming
- Category: Advanced Mathematics
- Category: Calculus
- Category: Derivatives
- Category: Machine Learning Methods