- Visualization (Computer Graphics)
- Python Programming
- Derivatives
- Machine Learning
- Calculus
- Machine Learning Algorithms
- Numerical Analysis
- Applied Mathematics
- Artificial Neural Networks
- Deep Learning
Calculus for Machine Learning and Data Science
Completed by VENKATA KRISHNA REDDY PILLI
August 31, 2024
26 hours (approximately)
VENKATA KRISHNA REDDY PILLI'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
