Calculus for Machine Learning and Data Science
Completed by NIKHIL PILLAI
February 10, 2024
26 hours (approximately)
NIKHIL PILLAI'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: Advanced Mathematics
- Category: Computer Programming
- Category: Model Optimization
- Category: Machine Learning
- Category: Software Visualization
- Category: Numerical Analysis
- Category: Calculus
- Category: Derivatives
- Category: Deep Learning
- Category: Artificial Neural Networks
- Category: Applied Mathematics
- Category: Machine Learning Algorithms
