From the course: Complete Guide to AI and Data Science for SQL Developers: From Beginner to Advanced
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Hitting the Right Note - The Bias-Variance Trade-off - SQL Tutorial
From the course: Complete Guide to AI and Data Science for SQL Developers: From Beginner to Advanced
Hitting the Right Note - The Bias-Variance Trade-off
- [Narrator] In the last video, you understood the balancing act that goes into model simplicity and complexity. Now in this video, you are about to understand another balance. The bias variance trade off. Building predictive models is like executing the perfect skate trick, balancing between two types of errors, bias and variance. Nailing this balance is crucial for creating models that not only perform well on familiar data, but can also adapt to new or unseen data. So what is bias? Well picture trying to nail a skateboard trick, but consistently veering slightly off the one side every time that's bias. When you apply this idea to modeling, it's as if you're not fully capturing the true complexity of a skate park. Your model makes too many assumptions leading it to miss out on the full picture and not perform well across different situations. This is what causes under fitting. Now for variance. Think of attempting various skateboard tricks and landing them unpredictably in different…
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Contents
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From Predicting to Understanding4m 46s
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Breaking Down Data Relationships with Regression4m 6s
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Crafting Elegance in Machine Learning Models2m 55s
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Hitting the Right Note - The Bias-Variance Trade-off4m 7s
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Fine-Tuning Your Models3m 33s
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Remixing Data with Bootstrapping3m 49s
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Regression Analysis: A Practical Application3m 54s
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