Calculus for Machine Learning and Data Science
Completed by Rado Kozmér
February 15, 2023
26 hours (approximately)
Rado Kozmér'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: Applied Machine Learning
- Category: Computer Programming
- Category: Machine Learning
- Category: Advanced Mathematics
- Category: Machine Learning Algorithms
- Category: Software Visualization
- Category: Machine Learning Methods
- Category: Applied Mathematics
- Category: Python Programming
- Category: Numerical Analysis
- Category: Artificial Neural Networks
- Category: Model Optimization
