Calculus for Machine Learning and Data Science
Completed by Angel Julián García Chávez
September 16, 2025
26 hours (approximately)
Angel Julián García Chávez'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: Computer Programming
- Category: Model Optimization
- Category: Machine Learning
- Category: Applied Machine Learning
- Category: Applied Mathematics
- Category: Numerical Analysis
- Category: Derivatives
- Category: Machine Learning Methods
- Category: Python Programming
- Category: Data Visualization
- Category: Artificial Neural Networks
- Category: Deep Learning
