Calculus for Machine Learning and Data Science
Completed by Chad Lowe
January 18, 2024
26 hours (approximately)
Chad Lowe'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: Computer Programming
- Category: Data Visualization
- Category: Applied Machine Learning
- Category: Machine Learning
- Category: Numerical Analysis
- Category: Artificial Neural Networks
- Category: Deep Learning
- Category: Applied Mathematics
- Category: Mathematical Modeling
- Category: Python Programming
- Category: Model Optimization
