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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