AI News, Machine Learning FAQ
- On Thursday, June 7, 2018
- By Read More
Machine Learning FAQ
Without going into much depth regarding information gain and impurity measures, we can think of the decision as “is feature x_i >= some_val?” Intuitively, we can see that it really doesn’t matter on which scale this feature is (centimeters, Fahrenheit, a standardized scale – it really doesn’t matter).
Some examples of algorithms where feature scaling matters are: There are many more cases than I can possibly list here … I always recommend you to think about the algorithm and what it’s doing, and then it typically becomes obvious whether we want to scale your features or not.
- On Monday, February 24, 2020
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