Calculus for Machine Learning and Data Science
Completed by Jeremy Bloom
May 23, 2024
26 hours (approximately)
Jeremy Bloom'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: Applied Machine Learning
- Category: Machine Learning
- Category: Calculus
- Category: Derivatives
- Category: Python Programming
- Category: Data Visualization
- Category: Numerical Analysis
- Category: Computer Programming
- Category: Deep Learning
- Category: Artificial Neural Networks
- Category: Model Optimization
