Calculus for Machine Learning and Data Science
Completed by Rana Abdulaziz Alzahrani
November 16, 2024
26 hours (approximately)
Rana Abdulaziz Alzahrani'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: Artificial Neural Networks
- Category: Python Programming
- Category: Numerical Analysis
- Category: Machine Learning
- Category: Calculus
- Category: Applied Machine Learning
- Category: Derivatives
- Category: Computer Programming
- Category: Data Visualization
- Category: Applied Mathematics
- Category: Machine Learning Methods
- Category: Model Optimization
