Calculus for Machine Learning and Data Science
Completed by Elad Dvir
November 9, 2024
26 hours (approximately)
Elad Dvir'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: Applied Machine Learning
- Category: Machine Learning
- Category: Computer Programming
- Category: Python Programming
- Category: Machine Learning Algorithms
- Category: Software Visualization
- Category: Machine Learning Methods
- Category: Deep Learning
- Category: Applied Mathematics
- Category: Advanced Mathematics
- Category: Derivatives
