Calculus for Machine Learning and Data Science
Completed by Ying Hu
July 29, 2025
26 hours (approximately)
Ying Hu'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: Software Visualization
- Category: Machine Learning Methods
- Category: Model Optimization
- Category: Applied Machine Learning
- Category: Applied Mathematics
- Category: Machine Learning Algorithms
- Category: Python Programming
- Category: Numerical Analysis
- Category: Artificial Neural Networks
- Category: Deep Learning
- Category: Advanced Mathematics
