Calculus for Machine Learning and Data Science
Completed by Kiran Suvas Patil
July 15, 2023
26 hours (approximately)
Kiran Suvas Patil'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: Mathematical Modeling
- Category: Artificial Neural Networks
- Category: Applied Mathematics
- Category: Numerical Analysis
- Category: Deep Learning
- Category: Calculus
- Category: Python Programming
- Category: Machine Learning
- Category: Visualization (Computer Graphics)
- Category: Derivatives
