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🔍#Review Paper 📚Clustering with Uncertainty: A Literature Review to Address a Cross-Domain Perspective 🤖by Pileggi #ClusteringAnalysis #UncertaintyInAI #CrossDomainML #DataScienceReview #AIResearch 📊 https://t.co/PtJNIKCL6J

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Very interesting paper about "Blockchain in Payment Card Systems" cited one of my articles https://t.co/iG2zqwIXSI #Blockchain

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You hated that #statistics class in college, didn't you? It turns out it may be more useful than your thought back then. Check this out -> https://t.co/ZGnj7ToETV

a very good research article about : #BlockChain & #Payment_Card_Systems [44 pdf pages] right here : https://t.co/XWjfvClsCX via Ahmed Banafa #Fintech #AI

@marktenenholtz My MSDS research focused on comparing various ML\DL methods to stats method on bivariate data. It may be of interest to you.

Very good research article about Blockchain and Payment Card System (44 pages pdf) the researchers used one of my articles in this work https://t.co/iG2zqwIXSI #blockchain #sjsu #stanford

@SamHerderFCS Sounds similar to Park-Newman https://t.co/ZOA0HBNKZN. Essentially, you get 1 pt for a win, .2 pts for every win your wins have, .04 pts for every win they have, etc. Same goes for losses. You add them up and you get a really good measurement of relative schedule strength

https://t.co/EgL6W8E1BT

[New Paper] #Blockchain in #Payment Card Systems #fintech #bitcoin #cryptography #insurtech @dinisguarda @Stevewal63 @SpirosMargaris @jblefevre60 @AntonioSelas @k_feldborg https://t.co/g90Qdodea3

https://t.co/5ouDM5vPGQ

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@CarCaster @roboloki @NateSilver538 I wish I could find the plainly-stated 85% figure, but I actually saw it on 538 at some point. I swear. That said, voting preference is often based on socio-economic factors and self-identification among an absurd amount of research papers. https://t.co/JfQCpEKzl4

https://t.co/wlyxlK4Tom

https://t.co/JzpP2z4tfE.