I caution against the myth of the one true feature. Usually it’s more data that you need
Sometimes the right answer to a machine learning problem is not a better algorithm, but a new source of information, such as a new feature or a new sensor.
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Not when your algorithm is underfitting
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It is surprising how often several good methods, when put head-to-head on the same data will give the same answer. The data makes the solution.
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This is an awesome observation!
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Do not infer that which you can measure.
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...or a bunch of if statements
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Thanks! As consultant, I told to client that we need more 'diverse data' to learn. Then question was why need lot of time to 'just collect data'. Code is more difficult than data - is a belief. It exists across organizations.http://midmanager.com
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That's for me 90% the case
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Or a better formulated problem sometimes.
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