Tuningnumbers
On this page, you find all documents, package deals, and flashcards offered by seller tuningnumbers.
- 1
- 0
- 0
Community
- Followers
- Following
1 items
Stanford CS229 Notes - Regression Algorithms
1. Introduction to Linear Regression and Gradient Descent Purpose: Introduces linear regression as a foundational supervised learning algorithm. Content Highlights: Explanation of hypothesis formulation. Detailed notation and definitions (parameters, input vectors, target variables). Step-by-step derivation of cost function
- Class notes
- • 12 pages •
1. Introduction to Linear Regression and Gradient Descent Purpose: Introduces linear regression as a foundational supervised learning algorithm. Content Highlights: Explanation of hypothesis formulation. Detailed notation and definitions (parameters, input vectors, target variables). Step-by-step derivation of cost function