What is the difference between deep learning and usual machine learning?
The main differences between deep learning and traditional machine learning lie in the architecture of the models and the feature representation: Model Complexity: Traditional Machine Learning: Traditional machine learning models typically involve the manual extraction of relevant features from the input data. Algorithms like decision trees, support vector machines, and k-nearest neighbors...
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