Category Archives: Machine Learning

Microsoft is trying its old tricks?

When I read this: When Microsoft introduced the Azure Data Lake, we included a new language, U-SQL, to make Big Data processing easy. U-SQL unifies the declarative power of SQL and the extensibility of C# to make writing custom processing … Continue reading

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More voices

I’m glad to see Jeff Leek at Simply Stats is of the same opinon as me.  With so many rational voices adding to the chorus, you know the government will do exactly the opposite of what’s recommended.

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It’s not Skynet, but it’s still really, really bad.

There’s been a bit of a news wave in the Tech Press about a letter signed by 1000 AI experts, (I wasn’t asked. <sniff>) including some technology and science superstars ,(Elon Musk, Steve Wozniak, Stephen Hawking) urging governments to forgo … Continue reading

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The Dominoes to AI

If the singularity does come about, I think it is pure hubris on the part of homo sapiens to think that silico sapiens will be bothered to do anything about us. Continue reading

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Biased Learning

Scott Aaronson has a fantastic new post, Eigenmorality. He draws a few concepts together that never appear together (eigenvalues and morality), ties it to Axelrod’s excellent The Evolution of Cooperation, and extrapolates to how to make the world better. Nearly … Continue reading

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Machine Learning and Regession

I stumbled on this interesting post on reddit Is ML all about statistical regressions at its core?,  and although I thought the responses were informative, they seemed to be a bit too focused for what I felt was the right … Continue reading

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Government Work

I’m a little behind on my stack of issues of Scientific American, and I’m currently wading through the December 2009 issue. There’s an article on World Changing Ideas, which is interesting in and of itself with 14 months of history … Continue reading

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