Data normalization is a required data preparation step for many Machine Learning algorithms. These algorithms are sensitive to the relative values of the feature attributes. Data normalization is the process of bringing all the attribute values within some desired range. 831 more words
Tags » Normalization
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Those who insist on viewing Trump as a totally unprecedented politician are trying to talk themselves into is the notion that this giant juggernaut of government power we’ve built would be just fine, would be no threat at all, would work beautifully to improve everyone’s lives—if only the right, decent, “normal” people were in charge.
Is that just me or there are more people around who find memes are the most popular form of normalizing sexism these days? Sure, many of you’re gonna drop the “F” bombs (F==Feminazi) or “S” bombs (S=Sensitivity) or Orange Supreme’s favorite “PC” bomb, of course, PC does not mean “Personal Computer” anymore! 1,398 more words
In my initial post about the perceptron the other day, I noted that using the sigmoid function (or a similar activation function) on your data serves to both normalize the data and map it the range of your binary classification. 1,002 more words