Calculus for Machine Learning and Data Science
Completed by Jake Villaverde
October 29, 2024
26 hours (approximately)
Jake Villaverde'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
- Category: Machine Learning Algorithms
- Category: Computer Programming
- Category: Applied Mathematics
- Category: Machine Learning
- Category: Software Visualization
- Category: Machine Learning Methods
- Category: Applied Machine Learning
- Category: Calculus
- Category: Python Programming
- Category: Numerical Analysis
- Category: Artificial Neural Networks
- Category: Model Optimization
