- Visualization (Computer Graphics)
- Machine Learning Algorithms
- Python Programming
- Machine Learning
- Derivatives
- Numerical Analysis
- Applied Mathematics
- Deep Learning
- Calculus
- Artificial Neural Networks
Calculus for Machine Learning and Data Science
Completed by Wan Aufa Azis
March 27, 2024
26 hours (approximately)
Wan Aufa Azis'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
