Calculus for Machine Learning and Data Science
Completed by gladwyn tay jin hong
May 20, 2025
26 hours (approximately)
gladwyn tay jin hong'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: Artificial Neural Networks
- Category: Model Optimization
- Category: Deep Learning
- Category: Numerical Analysis
- Category: Software Visualization
- Category: Derivatives
- Category: Python Programming
- Category: Machine Learning Algorithms
- Category: Machine Learning Methods
- Category: Applied Mathematics
- Category: Applied Machine Learning
- Category: Advanced Mathematics
