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Crafting Elegance in Machine Learning Models

Crafting Elegance in Machine Learning Models - SQL教程

课程: Complete Guide to AI and Data Science for SQL: From Beginner to Advanced

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Crafting Elegance in Machine Learning Models

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- [Instructor] Now that you've visited linear and non-linear models in the last video, this video is all about championing simplicity and the art of creating models that are neither too simple, nor too complex. Think of your machine learning models as skaters balancing on a rail. On one side, there's the risk of underfitting, like a skater who can't quite pull off a trick because they're not pushing themselves enough. Now, this happens when your model is too simple, barely scratching the surface of what your data has to offer, and missing the bigger picture. On the other side, there's overfitting, which is like a skater trying to land an overly complex combo and losing their flow. Your model gets caught up in minor details, losing its ability to perform well in new or different situations. Now, your goal is to find that sweet spot, crafting models that capture the essence of your data, like a skater seamlessly flowing through the park, hitting every trick just right, without…

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