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9 𝐃𝐢𝐬𝐭𝐚𝐧𝐜𝐞 𝐌𝐞𝐚𝐬𝐮𝐫𝐞𝐬 𝐢𝐧 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞
Many #machinelearning algorithms, whether supervised or unsupervised, make use of distance measures.
Take k-NN for example, a technique often used for supervised learning. As a default, it often uses euclidean distance.
By itself, a great distance measure.
Knowing when to use which distance measure can help you go from a poor classifier to an accurate model.
Study: https://towardsdatascience.com/9-distance-measures-in-data-science-918109d069fa
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Agreed SM1. But wait till you are a manager and all your seniors are at training. Then it's like your world has ended and you cant remember how anything gets done.
Yep, then wait until when you are manager and all of the SMs and PPEDs go to ETU! That is the best for the same reason!
So true SM2. When seniors go on training I panic.
Agree, had to open up GoSystems today when all the staff were out for training. Haven’t been in this software in over a year
Ahhh yes that is also true, SM2!
I don’t even think I would be able to figure out how to log in to GoSystem anymore.
Thanks for the reminder, since I’m at ETU time to send a bunch of requests to get done by when I get back. Get to work!!!!
My region sent an email this time reminding those of us not attending ETU to keep doing work. LOL.