OpenPair: (Study-Session) Gradient Descent for Linear Regression - Part 1 (Machine Learning, AI)

--- This is a study session, not a tutorial. I do a little explaining and verbally talk through what I'm doing. Check back for a review video that will concisely go over the topic as a follow-up. --- Exploring Gradient Descent for Linear regression, using Python. This algorithm is used for determining the best parameters for minimizing the cost of a Linear Regression function. The Coding Train (Gradient Descent): https://www.youtube.com/watch?v=jc2IthslyzM Based on Coursera Machine Learning Course: https://www.coursera.org/learn/machin... ---- Learn more about me and my work by following any of these links: LinkTree: https://linktr.ee/mater.dev LinkedIn: https://www.linkedin.com/in/materdev/ Tech Blog: https://www.mater.dev/ Instagram: https://www.instagram.com/mater.dev/ --- Music credits: https://www.youtube.com/watch?v=FE3Im... Artwork by Mater Development