Calculus for Machine Learning and Data Science
Completed by Madyan Mohammed Alammari
November 19, 2024
26 hours (approximately)
Madyan Mohammed Alammari'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: Machine Learning
- Category: Model Optimization
- Category: Computer Programming
- Category: Python Programming
- Category: Deep Learning
- Category: Machine Learning Methods
- Category: Derivatives
- Category: Artificial Neural Networks
- Category: Calculus
- Category: Applied Mathematics
- Category: Data Visualization
- Category: Applied Machine Learning
