OpenPair: (Study-Session) Gradient Descent for Linear Regression - Part 3 (Machine Learning, AI)

This is the third part of my 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. --- Resources: The Coding Train (Gradient Descent): https://www.youtube.com/watch?v=jc2It... Machine Learning for Humans: https://tinyurl.com/machinelearningforhumans Learn Pytorch: https://www.youtube.com/watch?v=Z_ikDlimN6A Pytorch Reading Materials: https://www.learnpytorch.io/ Machine Learning (Coursera): https://www.coursera.org/specializations/machine-learning-introduction ---- About Me: 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/ --- Credits: Music credits: https://www.youtube.com/watch?v=FE3Im... Artwork by Mater Development