One simple concept every Data Scientist should know

Why do some Machine Learning models fail even after training on lots of data? 🤯

The answer is Bias and Variance.

Too much bias = model is too simple
Too much variance = model becomes too sensitive
Perfect balance = smarter predictions 🚀

In this video, understand the Bias-Variance Tradeoff with simple real-life examples.

This is one of the most important Machine Learning concepts every beginner should know

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Видео One simple concept every Data Scientist should know канала AI with Harsha