Calculus for Machine Learning and Data Science
Completed by Daniel Barbatti
May 8, 2024
26 hours (approximately)
Daniel Barbatti'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: Data Visualization
- Category: Applied Machine Learning
- Category: Machine Learning
- Category: Deep Learning
- Category: Model Optimization
- Category: Mathematical Modeling
- Category: Numerical Analysis
- Category: Applied Mathematics
- Category: Derivatives
- Category: Computer Programming
- Category: Artificial Neural Networks
- Category: Python Programming
