Calculus for Machine Learning and Data Science
Completed by Manar Eyad
December 14, 2024
26 hours (approximately)
Manar Eyad'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: Python Programming
- Category: Machine Learning Methods
- Category: Applied Mathematics
- Category: Calculus
- Category: Applied Machine Learning
- Category: Computer Programming
- Category: Artificial Neural Networks
- Category: Model Optimization
- Category: Deep Learning
- Category: Derivatives
- Category: Numerical Analysis
- Category: Machine Learning
