Calculus for Machine Learning and Data Science
Completed by Rohit Dey
April 11, 2024
26 hours (approximately)
Rohit Dey'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: Applied Machine Learning
- Category: Numerical Analysis
- Category: Python Programming
- Category: Computer Programming
- Category: Machine Learning
- Category: Derivatives
- Category: Deep Learning
- Category: Applied Mathematics
- Category: Calculus
- Category: Data Visualization
- Category: Model Optimization
- Category: Machine Learning Methods
