Calculus for Machine Learning and Data Science
Completed by Amirhossein Heidari
August 24, 2024
26 hours (approximately)
Amirhossein Heidari'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: Python Programming
- Category: Applied Mathematics
- Category: Deep Learning
- Category: Applied Machine Learning
- Category: Calculus
- Category: Machine Learning Software
- Category: Machine Learning Methods
- Category: Artificial Neural Networks
- Category: Data Visualization
- Category: Machine Learning
- Category: Computer Programming
- Category: Derivatives
