- Derivatives
- Numerical Analysis
- Machine Learning Algorithms
- Machine Learning
- Artificial Neural Networks
- Python Programming
- Calculus
- Deep Learning
- Visualization (Computer Graphics)
- Applied Mathematics
Calculus for Machine Learning and Data Science
Completed by EKO RACHMAT SATRIYO
September 22, 2023
26 hours (approximately)
EKO RACHMAT SATRIYO'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
