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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
"I think flogging is integral to the script."
Additional Posts in Accounting
EY Boston office 🐠 has anyone done a rotational program? I have done two winter internships with the assurance team and want to try switching to SaT consulting. Want to see if anyone has done it before. Did tax with PwC and didn't find it to be a good fit for me.
Would love to connect with someone!
P.S. don't have access to company bowl so posting here (some technical issue) and this is a duplicate post coz I messed up posting earlier 💀😅
Get that PTO in!
Work Stations? How 'bout nap stations? 😴
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