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Let’s imagine one wants to create two algorithms which both aim at answering the following question: is there a car on the picture?
One of them would be based on machine learning whereas the second one would be based on deep learning. How would the car features be learned by each of he programs? (features = significant elements that enable the computer to recognize them)
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