Question: 1. What is the fundamental difference between an algorithm that uses linear regression and one that uses clustering? Please explain this difference clearly. 2. Explain

1. What is the fundamental difference between an algorithm that uses linear regression and one that uses clustering? Please explain this difference clearly.

2. Explain the basic architecture of the perceptron - also known as the artificial 'neuron'. Please clearly explain typically what the inputs are, how it functions, and what is its output.

3. How exactly does a deep neural network learn? Please Explain clearly ad briefly just the top level concepts and processes involved. (Note: There are 3 main steps in the deep learning process.) Please make sure where the learning is captured.

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