Calculus for Machine Learning and Data Science
Completed by Arthur Clemente
April 1, 2024
26 hours (approximately)
Arthur Clemente'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 Mathematics
- Category: Python Programming
- Category: Numerical Analysis
- Category: Calculus
- Category: Data Visualization
- Category: Machine Learning Software
- Category: Machine Learning Methods
- Category: Derivatives
- Category: Machine Learning
- Category: Computer Programming
- Category: Model Optimization
- Category: Artificial Neural Networks
