Calculus for Machine Learning and Data Science
Completed by Aaron Ho Jun Xian
July 3, 2024
26 hours (approximately)
Aaron Ho Jun Xian'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: Advanced Mathematics
- Category: Calculus
- Category: Computer Programming
- Category: Machine Learning
- Category: Deep Learning
- Category: Numerical Analysis
- Category: Artificial Neural Networks
- Category: Model Optimization
- Category: Applied Machine Learning
- Category: Software Visualization
- Category: Applied Mathematics
- Category: Python Programming
