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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
Additional Posts in Big Law
Any intel on Akerman billable requirement?
What does cap markets involve exactly?
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unlock all discussions on Fishbowl.
Make sure you xpost to Law so they get the message too
You can’t tell me what to do 😤
Community Builder
Why is it bothersome for you to see the same post twice? Just keep scrolling
Subject Expert
“Pretty much everyone” said the biglawyer who doesn’t realize that not everyone works in biglaw 😂 half the posts in the law bowl are about like insurance defense idk.
Lol
Subject Expert
Are you the Bar?
😂
Mentor
Lol still railing on about this. Sad
Subject Expert
Maybe we should share this to the law bowl so everyone knows.
I agree, but also have noticed the two bowls give slightly different responses to the same posts. The difference is kinda interesting!
Coach
I posted a union thing so maybe I'm the union poster? I didn't post it on the law forum though fyi.... maybe someone copied it/shared there or it was something else from my firm. Also this is a silly comment/ there are different audiences.
Enthusiast
I’m not sure that’s true considering how often I almost call something TTT in the law bowl before realizing where I am
Mentor
Just for fun, once more. Post post post post
I’m not in the other law bowl because I don’t want to see that shit lol…. Depressing.
Enthusiast
For the record, I posted this identical post in BigLaw five days ago and someone ripped this off for the law bowl. For those wondering…. No, i did not post this in both bowls 🤣
Mentor
Oh and post post post.