Calculus for Machine Learning and Data Science
Completed by Daniele Mazzone
January 2, 2025
26 hours (approximately)
Daniele Mazzone'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 Algorithms
- Category: Machine Learning Methods
- Category: Applied Mathematics
- Category: Python Programming
- Category: Applied Machine Learning
- Category: Software Visualization
- Category: Model Optimization
- Category: Numerical Analysis
- Category: Machine Learning
- Category: Computer Programming
- Category: Derivatives
- Category: Advanced Mathematics
