Calculus for Machine Learning and Data Science
Completed by Mohamad Kassem Radwan Alsabbagh
December 13, 2024
26 hours (approximately)
Mohamad Kassem Radwan Alsabbagh'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: Machine Learning
- Category: Computer Programming
- Category: Numerical Analysis
- Category: Model Optimization
- Category: Python Programming
- Category: Applied Mathematics
- Category: Applied Machine Learning
- Category: Artificial Neural Networks
- Category: Deep Learning
- Category: Machine Learning Software
- Category: Calculus
