Linear Regression with Gradient Descent in JavaScript
Read OriginalThis article details the author's journey of applying machine learning concepts learned from Andrew Ng's course by building a linear regression model with gradient descent in JavaScript. It uses a simplified example of predicting house prices based on size to explain the core concepts and implementation steps for creating a best-fit prediction line.
Comments
No comments yet
Be the first to share your thoughts!
Browser Extension
Get instant access to AllDevBlogs from your browser
Top of the Week
1
Using Browser Apis In React Practical Guide
Jivbcoop
•
2 votes
2
Better react-hook-form Smart Form Components
Maarten Hus
•
2 votes
3
Top picks — 2026 January
Paweł Grzybek
•
1 votes
4
In Praise of –dry-run
Henrik Warne
•
1 votes
5
Deep Learning is Powerful Because It Makes Hard Things Easy - Reflections 10 Years On
Ferenc Huszár
•
1 votes
6
Vibe coding your first iOS app
William Denniss
•
1 votes
7
AGI, ASI, A*I – Do we have all we need to get there?
John D. Cook
•
1 votes
8
Quoting Thariq Shihipar
Simon Willison
•
1 votes
9
Dew Drop – January 15, 2026 (#4583)
Alvin Ashcraft
•
1 votes