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Web Hosting by InMotion Hosting | kryptohardware.com Reviews
https://kryptohardware.com
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kryptohardware.com
pearsons | Kryptohardware
http://www.kryptohardware.com/tag/pearsons
A stream of consciousness. September 19, 2014 11:56 pm. Computing correlation between vectors is a pretty standard process. But what if you have a matrix. Can you efficiently compute the. Let’s define a few helpers:. And the diagonal of. Now we can put it all together:. We can use these to compute the pearson’s correlation coefficient using the Sum of Product Matrix (SP) and the diagonal extension (and transpose):. Here’s a python function that returns that matrix:. So here’s some results:.
September | 2014 | Kryptohardware
http://www.kryptohardware.com/2014/09
A stream of consciousness. Monthly Archives: September 2014. You are browsing the site archives by month. September 19, 2014 11:56 pm. Computing correlation between vectors is a pretty standard process. But what if you have a matrix. Can you efficiently compute the. Let’s define a few helpers:. And the diagonal of. Now we can put it all together:. We can use these to compute the pearson’s correlation coefficient using the Sum of Product Matrix (SP) and the diagonal extension (and transpose):.
matrix | Kryptohardware
http://www.kryptohardware.com/tag/matrix
A stream of consciousness. September 19, 2014 11:56 pm. Computing correlation between vectors is a pretty standard process. But what if you have a matrix. Can you efficiently compute the. Let’s define a few helpers:. And the diagonal of. Now we can put it all together:. We can use these to compute the pearson’s correlation coefficient using the Sum of Product Matrix (SP) and the diagonal extension (and transpose):. Here’s a python function that returns that matrix:. So here’s some results:.
Programming | Kryptohardware
http://www.kryptohardware.com/category/programming
A stream of consciousness. September 19, 2014 11:56 pm. Computing correlation between vectors is a pretty standard process. But what if you have a matrix. Can you efficiently compute the. Let’s define a few helpers:. And the diagonal of. Now we can put it all together:. We can use these to compute the pearson’s correlation coefficient using the Sum of Product Matrix (SP) and the diagonal extension (and transpose):. Here’s a python function that returns that matrix:. So here’s some results:.
Uncategorized | Kryptohardware
http://www.kryptohardware.com/category/uncategorized
A stream of consciousness. September 19, 2014 11:56 pm. Computing correlation between vectors is a pretty standard process. But what if you have a matrix. Can you efficiently compute the. Let’s define a few helpers:. And the diagonal of. Now we can put it all together:. We can use these to compute the pearson’s correlation coefficient using the Sum of Product Matrix (SP) and the diagonal extension (and transpose):. Here’s a python function that returns that matrix:. So here’s some results:.
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Kryptogreen - DeviantArt
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kryptogrip.com - This website is for sale! - kryptogrip Resources and Information.
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Registrant WHOIS contact information verification
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Krypto Handy — Einfach sicher telefonieren
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Web Hosting by InMotion Hosting
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kryptohash-org
Welcome to Kryptohash.org. Kryptohash is a new cryptocurrency based on the Bitcoin protocol but, with few significant changes. A brand new Proof-Of-Work algorithm (PoW) based on the Keccak-F 1600 Sponge function in a mode called Extendable-Output (a.k.a. SHAKE). SHAKE's variable output makes it ideal for a Proof-Of-Work solution, as it can easily be configured to require large amount of memory which increases the computing cost to those attempting to perform large-scale ASIC attacks. Kryptohash protocol ...
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