Calculus for Machine Learning and Data Science
Completed by Mounika Thatha
February 28, 2025
26 hours (approximately)
Mounika Thatha'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: Artificial Neural Networks
- Category: Deep Learning
- Category: Calculus
- Category: Applied Machine Learning
- Category: Derivatives
- Category: Python Programming
- Category: Machine Learning Methods
- Category: Computer Programming
- Category: Data Visualization
- Category: Model Optimization
- Category: Machine Learning
- Category: Mathematical Modeling
