- Calculus
- Artificial Neural Networks
- Derivatives
- Deep Learning
- Numerical Analysis
- Regression Analysis
- Python Programming
- Mathematical Modeling
- Machine Learning
- Applied Mathematics
Calculus for Machine Learning and Data Science
Completed by Shafaa Dimitri
March 23, 2024
26 hours (approximately)
Shafaa Dimitri'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
