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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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- Candidate should be from VC ecosystem or investment banking background (experience in tech space preferred)
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Note: Due to high volume of applications, regret to mention I will be able to reach out to only relevant candidates
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I don’t know of any such agency which provides training for the same. I don’t even know if such a thing exists to be honest.
Are you currently pursuing an articleship?