- Applied Mathematics
- Machine Learning
- Numerical Analysis
- Deep Learning
- Calculus
- Python Programming
- Regression Analysis
- Mathematical Modeling
- Artificial Neural Networks
- Derivatives
Calculus for Machine Learning and Data Science
Completed by Audrey Nayla Nashwa
March 22, 2024
26 hours (approximately)
Audrey Nayla Nashwa'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
