Without recognizing our weak points, we'll never be able to overcome them. If modern job interviews of Data Scientist have taught us anything, it's that the correct answer to the question. "What's your biggest weakness" is "I work too hard." If we never admit our deficiencies, then we can't take the steps to address them.
Source: HOBCategorizing machine learning algorithms is tricky, and there are several reasonable approaches; they can be grouped into generative/discriminative, parametric/non-parametric, supervised/unsupervised, and so on.
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