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"the marginal likelihood measures how well previous chunks of data predict future ones."
@markvanderwilk,@jameshensman: This is an interesting way to see it. Is it an old insight? https://papers.nips.cc/paper/8199-learning-invariances-using-the-marginal-likelihood …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Already foiling!

https://twitter.com/EmiratesTeamNZ/status/1174941529317597184 …
1:00Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Roger Frigola proslijedio/la je Tweet
You've seen Boat One. Now it's your chance to help create Boat Two.

https://bit.ly/2HUcE0o Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Mike Jordan on markets to define cost functions for AI : "Ignoring market mechanisms in developing modern societal-scale information-technology systems is like trying to develop a field of civil engineering while ignoring gravity."https://hdsr.mitpress.mit.edu/pub/2imtstfu/
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I'm wondering what's a typical weight sensitivity (in seconds/lap/kg) of a modern road-legal sports car on a racetrack.
@CanopySims do you have any numbers on this?Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Porsche plans to hire 100 Artificial Intelligence experts in the near future. Nice!https://twitter.com/Porschedigital/status/1110252558398996482 …
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The "Big Data" buzzword has faded and is being replaced by "AI". They can be combined though, e.g. "I'll send you my Big Data in an Excel spreadsheet so that you can apply linear regression AI to discover new insights."https://twitter.com/matvelloso/status/1065778379612282885 …
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That's quite funny. However, my feeling is that when people actually look at the data, as P(C)→0 then P(H|X) becomes proportional to P(X|H).https://twitter.com/xkcdComic/status/1051868209475809280 …
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Today I have used Taylor series expansions in two different occasions while working on an engineering problem. Almost everything we learnt in first year engineering maths has been useful to me at some point!
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Totally agree. Sometimes each data point costs a lot of time/money to obtain and generalization is required using only a few hundreds of points. Gaussian processes are incredibly powerful in this regime.https://twitter.com/AndrewYNg/status/1045399898537873408 …
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Interesting article about some of the pitfalls of applying Machine Learning in practice. Agree on the need for "analytics translators": people who can simultaneously understand well the business problem and have an in-depth knowledge of Machine Learning.https://www.mckinsey.com/business-functions/mckinsey-analytics/our-insights/ten-red-flags-signaling-your-analytics-program-will-fail …
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Very interesting for any data-minded person or organization!https://twitter.com/GoogleAI/status/1037448030193049600 …
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Roger Frigola proslijedio/la je Tweet
#NIPS2018 The main conference sold out in 11 minutes 38 secondsHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Even Arnold talks about Machine Learning.https://twitter.com/Schwarzenegger/status/1027574345638596608 …
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Preparing for the big changes brought by Machine Learning and Artificial Intelligence. https://medium.com/politics-ai/an-overview-of-national-ai-strategies-2a70ec6edfd …
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Learning to follow lanes by trial and error in 20 minutes using a single monocular camera.https://twitter.com/wayve_ai/status/1013987290887012352 …
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Awesome work by the Porsche LMP1 Team in destroying the 35 year old record of the Nordschleife!https://twitter.com/PorscheNewsroom/status/1012612514738253824 …
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Amazing racing one year ago in the America's Cup Challenger Finals. What a finish!https://twitter.com/EmiratesTeamNZ/status/1005970469030248448 …
1:58Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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