Machine Learning Engineer Question:
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Tell us how do bias and variance play out in machine learning?
Answer:
Both bias and variance are errors. Bias is an error due to flawed assumptions in the learning algorithm. Variance is an error resulting from too much complexity in the learning algorithm.
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