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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 Consulting
Joining Deloitte or PWC as Manager. Pros / Cons?
61% utilization as a first year associate. RIP
Saw this on Reddit, Sample size: 4000 consultants
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Not too hard these days. If you can do the cases right, have some high level alignment to a sector or a function, you will be fine
(Title on here is outdated)
Yes, doable. An answer to ‘How hard’ depends on your experience and performance on the interviews of course.
We are interviewing what feels like more unqualified candidates. I am just rejecting them all