Calculus for Machine Learning and Data Science
Completed by Vivian Ondieki
May 15, 2023
26 hours (approximately)
Vivian Ondieki'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
- Category: Applied Mathematics
- Category: Computer Programming
- Category: Derivatives
- Category: Calculus
- Category: Machine Learning Software
- Category: Applied Machine Learning
- Category: Machine Learning Methods
- Category: Python Programming
- Category: Deep Learning
- Category: Model Optimization
- Category: Numerical Analysis
