- Numerical Analysis
- Artificial Neural Networks
- Applied Mathematics
- Deep Learning
- Machine Learning
- Python Programming
- Machine Learning Algorithms
- Visualization (Computer Graphics)
- Calculus
- Derivatives
Calculus for Machine Learning and Data Science
Completed by NISRINA RISTYAWATI
April 8, 2024
26 hours (approximately)
NISRINA RISTYAWATI '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