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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 Asset / Investment Management
Anyone here work at Wellington Management and is willing to chat with me about a Data Science / Quant role? Recruiter reached out and I’m considering whether I should interview for it. Currently work at a Global Macro Desk of a MM hedge fund (think Millennium, Balyasny, Pt72) and looking to understand more about firm culture, investment process, career prospects to the extent possible and comp. Thanks!
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