Calculus for Machine Learning and Data Science
Completed by Rajat Abraham Jacob
July 26, 2023
26 hours (approximately)
Rajat Abraham Jacob'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: Data Visualization
- Category: Applied Mathematics
- Category: Mathematical Modeling
- Category: Machine Learning Methods
- Category: Artificial Neural Networks
- Category: Computer Programming
- Category: Machine Learning
- Category: Derivatives
- Category: Deep Learning
- Category: Numerical Analysis
- Category: Calculus
- Category: Model Optimization
