Wolfram language looks pretty impressive. Definitely need to give it a try
Central Limit Theorem visualized, Another awesome D3 visualization
Data Elite : This is the YCombinator for Big Data startups
Metacademy - machine learning focused search engine
Nate Silver Interview : pretty insightful interview from Nate Silver
Deep Belief Networks in the browser. This is actually pretty cool. It would be nice if there was an API around this
explainshelll helps you understand all those shell scripts you come across
Google Graveyard of products : many-a-google products have graced us in the past decade. Hoping Google Glass and Google Driverless Cars don't end up in the graveyard. Hmm.. looks like someone already created a spot for Google Glass
Sergey Brin's old grad school resume from almost 2 decades ago.. Bet you he didn't know he'd become one of the richest people in the world today
Showing posts with label Nate Silver. Show all posts
Showing posts with label Nate Silver. Show all posts
Sunday, March 23, 2014
Tuesday, December 18, 2012
Some Interesting Videos / Talks
Interesting talk by Jeff Hammerbacher on some of the things he's doing with Data Science in Healthcare / Genomics
I have recently become a huge fan of Nate Silver and Statistical Bayesian Inference. He recently gave a talk at Google
I have recently become a huge fan of Nate Silver and Statistical Bayesian Inference. He recently gave a talk at Google
Saturday, November 10, 2012
Nate Silver and the new Numerati
By now, we probably all know who Nate Silver is. He correctly forecast the result in 49 out of 50 states and all 35 US Senate Races in the 2008 election cycle and all 50 states in the 2012 election cycle. How did he do this? Bayesian Analysis. Ignore all the political pundits.. Nate simply removed the noise from the true signals.
You can check out his 538 blog at the New York Times for more details.
We have also learned that the Obama campaign engaged in a massive data mining operation with micro - targeting and voter segmentation that many could say helped them win. They hired Data Scientists to build predictive models for everything from potential voter turn out, potential voters, fund raising through email campaigns to finding out which email campaigns raised the most money and why. This was recently featured in Time Magazine. If 2008 was the Facebook election, you could say 2012 was the data election.
Nate recently published a book 'The Signal and the Noise' . It should make for an interesting read.
We have also learned that the Obama campaign engaged in a massive data mining operation with micro - targeting and voter segmentation that many could say helped them win. They hired Data Scientists to build predictive models for everything from potential voter turn out, potential voters, fund raising through email campaigns to finding out which email campaigns raised the most money and why. This was recently featured in Time Magazine. If 2008 was the Facebook election, you could say 2012 was the data election.
Nate recently published a book 'The Signal and the Noise' . It should make for an interesting read.
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