Calculus for Machine Learning and Data Science
Completed by Tharusha Rasath Hemachandra
September 24, 2025
26 hours (approximately)
Tharusha Rasath Hemachandra'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: Numerical Analysis
- Category: Applied Machine Learning
- Category: Data Visualization
- Category: Mathematical Modeling
- Category: Artificial Neural Networks
- Category: Deep Learning
- Category: Calculus
- Category: Python Programming
- Category: Computer Programming
- Category: Applied Mathematics
- Category: Machine Learning Methods
- Category: Machine Learning
