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Gradient Descent, Step-by-Step

Gradient Descent is the workhorse behind most of Machine Learning. When you fit a machine learning method to a training dataset, you're probably using Gradient Descent. It can optimize parameters in a wide variety of settings. Since it's so fundamental to Machine Learning, I decided to make a "step-by-step" video that shows you exactly how it works. NOTE: This video assumes you are already familiar with Least Squares and Linear Regression. If not, here's the link to the Quest:    • The Main Ideas of Fitting a Line to D...   Sources: There are a ton of websites that describe the math behind Gradient Descent. One of my favorite is the wikipedia article: https://en.wikipedia.org/wiki/Gradien... For a complete index of all the StatQuest videos, check out: https://statquest.org/video-index/ If you'd like to support StatQuest, please consider... Patreon:   / statquest   ...or... YouTube Membership:    / @statquest   ...buying one of my books, a study guide, a t-shirt or hoodie, or a song from the StatQuest store... https://statquest.org/statquest-store/ ...or just donating to StatQuest! https://www.paypal.me/statquest Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:   / joshuastarmer   0:00 Awesome song and introduction 1:25 Main ideas behind Gradient Descent 5:38 Gradient Descent optimization of a single variable, part 1 9:08 An important note about why we use Gradient Descent 9:40 Gradient Descent optimization of a single variable, part 2 14:48 Review of concepts covered so far 15:48 Gradient Descent optimization of two (or more) variables 21:55 A note about Loss Functions 22:13 Gradient Descent algorithm 23:06 Stochastic Gradient Descent #statquest #gradient #descent #ML