Calculus for Machine Learning and Data Science
Completed by Maximiliano Rojas Taboada
July 26, 2025
26 hours (approximately)
Maximiliano Rojas Taboada'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: Calculus
- Category: Computer Programming
- Category: Machine Learning
- Category: Deep Learning
- Category: Numerical Analysis
- Category: Artificial Neural Networks
- Category: Model Optimization
- Category: Applied Machine Learning
- Category: Software Visualization
- Category: Applied Mathematics
- Category: Python Programming
