Calculus for Machine Learning and Data Science
Completed by AHMED KHALED AL-ZUBAIR
November 18, 2024
26 hours (approximately)
AHMED KHALED AL-ZUBAIR'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: Computer Programming
- Category: Machine Learning
- Category: Model Optimization
- Category: Numerical Analysis
- Category: Deep Learning
- Category: Artificial Neural Networks
- Category: Data Visualization
- Category: Applied Machine Learning
- Category: Machine Learning Methods
- Category: Python Programming
- Category: Calculus
