Regularization Part 1 Ridge L2 Regression
>> YOUR LINK HERE: ___ http://youtube.com/watch?v=Q81RR3yKn30
Ridge Regression is a neat little way to ensure you don't overfit your training data - essentially, you are desensitizing your model to the training data. It can also help you solve unsolvable equations, and if that isn't bad to the bone, I don't know what is. • This StatQuest follows up on the StatQuests on: • Bias and Variance • • Machine Learning Fundamentals: Bias a... • Linear Models Part 1: Linear Regression • • Linear Regression, Clearly Explained!!! • Linear Models Part 1.5: Multiple Regression • • Multiple Regression, Clearly Explaine... • Linear Models Part 2: t-Tests and ANOVA • • Using Linear Models for t-tests and A... • Linear Models Part 3: Design Matrices • • StatQuest: Linear Models Pt.3 - Desig... • Cross Validation: • • Machine Learning Fundamentals: Cross ... • 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... • Buying The StatQuest Illustrated Guide to Machine Learning!!! • PDF - https://statquest.gumroad.com/l/wvtmc • Paperback - https://www.amazon.com/dp/B09ZCKR4H6 • Kindle eBook - https://www.amazon.com/dp/B09ZG79HXC • Patreon: / statquest • ...or... • YouTube Membership: / @statquest • ...a cool StatQuest t-shirt or sweatshirt: • https://shop.spreadshirt.com/statques... • ...buying one or two of my songs (or go large and get a whole album!) • https://joshuastarmer.bandcamp.com/ • ...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 Ridge Regression main ideas • 4:15 Ridge Regression details • 10:21 Ridge Regression for discrete variables • 13:24 Ridge Regression for Logistic Regression • 14:12 Ridge Regression for fancy models • 15:34 Ridge Regression when you don't have much data • 19:15 Summary of concepts • Correction: • 13:39 I meant to say Negative Log-Likelihood instead of Likelihood . • #statquest #regularization
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