The practitioner
To the practitioner, the most important skill is not in machine learning. The most important skill is in understanding the problem. Implicit in this statement is that the practitioner should also at least understand which machine learning algorithms would be suitable for the problem at hand. Obviously this entails understanding how the machine learning algorithm works.
New people in the field often ask me whether deep learning will solve all their problems. The answer is emphatically no. The solution must be tailored to the problem. Indeed, often, non-deep-learning solutions outperform deep learning solutions in terms of speed and accuracy. These are typically simple problems, so that's a good rule of thumb there: if the ...
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