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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
From Charlie with love.
June gloom. That is all.
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I think they are setting up shop in Vancouver. Just poached a handful (I personally know 3) of experienced candidates from the big 4. It also seems pay is significantly higher than big 4. Like, closer to American than Canadian salaries.
Happy to refer if anyone is looking to make the switch! Good folks out there, used to be US based.
I switched in ny from big 4 as a director to RSM senior director moving from 230k to 300k (+10% bonus). I was gone within 9 months (beginning of covid). Found out I was the third senior director that was in and out less than a year in NY, and 1 other 1.5 years. They like the idea of having big 4 people but they don’t support you and help you meet people grow your network internal develop business or even feed you work. Then they hold you to goals when you basically have a non compete with your prior firm. They will pay more because nobody would go there from big4 otherwise but they will get you in the backend.
Did you end up leaving after 1 year or so?