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Who else is having Chinese food tonight ?
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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Rising Star
Boomerang and career do not go hand in hand. Unless you dream of being a prop in a Mad Max film
At what experience did you leave?
2.5 yoe. I couldn’t stand my group and team so staying there would have been tough
Did exactly that. Left as senior, worked for a year, boomeranged back at S3 to push for manager promote.
Spend a few more years in industry (preferably moving across units) to get hands on experience with whichever area within an organization you'd like to help when you boomerang back.
I have seen people with 5-6 years of industry experience moving much faster through the ranks than career consultants. Instead of trying to land back at a grade above, get the skills that will continue to differentiate you with your colleagues at any rank for years to come.
Rising Star
Once you boomerang back, you're capped. You'll be known as someone who is flighty. It'll definitely hold you back in the next few promotion rounds. Only do this when you've got some serious weight behind you.