Calculus for Machine Learning and Data Science
Completed by Miguel Romero Gutierrez
November 6, 2024
26 hours (approximately)
Miguel Romero Gutierrez'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: Numerical Analysis
- Category: Calculus
- Category: Applied Machine Learning
- Category: Machine Learning
- Category: Mathematical Modeling
- Category: Computer Programming
- Category: Artificial Neural Networks
- Category: Deep Learning
- Category: Python Programming
- Category: Data Visualization
- Category: Derivatives
- Category: Applied Mathematics
