Calculus for Machine Learning and Data Science
Completed by A SRISURYA PARDHASARADHI TUPURANI
January 10, 2026
26 hours (approximately)
A SRISURYA PARDHASARADHI TUPURANI'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: Machine Learning Methods
- Category: Artificial Neural Networks
- Category: Applied Machine Learning
- Category: Computer Programming
- Category: Python Programming
- Category: Deep Learning
- Category: Data Visualization
- Category: Mathematical Modeling
- Category: Derivatives
- Category: Model Optimization
- Category: Machine Learning
- Category: Numerical Analysis
