Calculus for Machine Learning and Data Science
Completed by Tysha Alya Ramadhany
March 27, 2024
26 hours (approximately)
Tysha Alya Ramadhany'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: Computer Programming
- Category: Deep Learning
- Category: Artificial Neural Networks
- Category: Derivatives
- Category: Machine Learning Methods
- Category: Machine Learning
- Category: Applied Machine Learning
- Category: Data Visualization
- Category: Model Optimization
- Category: Numerical Analysis
- Category: Mathematical Modeling
- Category: Applied Mathematics
