Calculus for Machine Learning and Data Science
Completed by Paul Xavier Uhlig
October 15, 2023
26 hours (approximately)
Paul Xavier Uhlig'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 Methods
- Category: Calculus
- Category: Mathematical Modeling
- Category: Python Programming
- Category: Artificial Neural Networks
- Category: Derivatives
- Category: Numerical Analysis
- Category: Machine Learning
- Category: Applied Machine Learning
- Category: Computer Programming
- Category: Deep Learning
- Category: Applied Mathematics
