Calculus for Machine Learning and Data Science
Completed by Sasindu Piyumal
July 15, 2024
26 hours (approximately)
Sasindu Piyumal'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: Calculus
- Category: Artificial Neural Networks
- Category: Machine Learning Methods
- Category: Numerical Analysis
- Category: Applied Machine Learning
- Category: Python Programming
- Category: Deep Learning
- Category: Computer Programming
- Category: Applied Mathematics
- Category: Model Optimization
- Category: Machine Learning
- Category: Mathematical Modeling
