Calculus for Machine Learning and Data Science
Completed by Asvataman Venkatesan
July 17, 2024
26 hours (approximately)
Asvataman Venkatesan'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: Derivatives
- Category: Computer Programming
- Category: Machine Learning Methods
- Category: Machine Learning
- Category: Mathematical Modeling
- Category: Model Optimization
- Category: Python Programming
- Category: Numerical Analysis
- Category: Artificial Neural Networks
- Category: Applied Machine Learning
- Category: Deep Learning
- Category: Calculus
