Calculus for Machine Learning and Data Science
Completed by Divya Prakash Singh
January 21, 2024
26 hours (approximately)
Divya Prakash Singh'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 Machine Learning
- Category: Python Programming
- Category: Model Optimization
- Category: Artificial Neural Networks
- Category: Computer Programming
- Category: Machine Learning Methods
- Category: Applied Mathematics
- Category: Deep Learning
- Category: Numerical Analysis
- Category: Derivatives
- Category: Machine Learning Software
- Category: Calculus
