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subin alex
subin alex

Mar 29, 2019

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1 min read

… because your ability to balance on one leg is highly dependent on the factors in your environment. If even one thing changes, it could completely mess you up! This is how it is when models have high variance. If we mess with any factors in its training data, we could completely change the outcome. This is not stable, and therefore not a model off of which we’d want to make decisions.

Machine Learning Algorithms In Layman’s Terms, Part 2
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Audrey Lorberfeld

Nice analogy

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subin alex

subin alex

I am a software engineer.Onewho gets bored like normal people

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