Calculus for Machine Learning and Data Science
Completed by Mohammed Farhan EJAZ
January 23, 2024
26 hours (approximately)
Mohammed Farhan EJAZ'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: Computer Programming
- Category: Applied Machine Learning
- Category: Python Programming
- Category: Numerical Analysis
- Category: Deep Learning
- Category: Machine Learning
- Category: Artificial Neural Networks
- Category: Model Optimization
- Category: Applied Mathematics
- Category: Calculus
- Category: Mathematical Modeling
- Category: Data Visualization
