- Artificial Neural Networks
- Machine Learning Algorithms
- Numerical Analysis
- Calculus
- Deep Learning
- Derivatives
- Visualization (Computer Graphics)
- Machine Learning
- Python Programming
- Applied Mathematics
Calculus for Machine Learning and Data Science
Completed by Kongsakun Panyang
May 4, 2023
26 hours (approximately)
Kongsakun Panyang'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
