Machine Learning Engineer Question:
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Tell me how does deep learning contrast with other machine learning algorithms?


Deep learning is an approach to machine learning wherein the system learns the model as a neural network. If we’re addressing the algorithms specifically, it should be noted that deep learning algorithms learn meaningful features on their own, without requiring any manual feature selection.

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Can you name some feature extraction techniques used for dimensionality reduction?Tell us how do bias and variance play out in machine learning?