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Difference between AI & ML Artificial Intelligence : The word Artificial Intelligence comprises of two words “Artificial” and “Intelligence”. Artificial refers to something which is made by human or non natural thing and Intelligence means ability to understand or think. There is a misconception that Artificial Intelligence is a system, but it is not a ...


If your problem is truly classification you shouldn't implement output as one neuron, since you add strong a prior assumption about your class correlation. You can use one neuron only for binary class problems. Use 3 neurons outputs for 3-class problems. Check this example


I mean, you could compare feature selected SVM to non-feature selected naïve Bayes if you wanted to, I would just say the comparison wouldn't be truly fair to the naïve Bayes classifier. Same way you could decide to tune on of your algorithms but not another. It's probably not a great idea as you will be losing out on potentially better algorithms but you ...


OK, I've worked it out. Here's the most trivial example I could think of. $$ I = \frac{V}{R}$$ which can be rearranged: $$ IR = V$$ So in: $$ \dot{I} = V - IR$$ $V$ stands for the the actual voltage, where $IR$ stand for the calculated voltage based on parameter $I$. The difference between them is the error. MathLab: voltage = 10; resistance = 5; ...

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