Discussion[Discussion] How Gaussian naïve Bayes forms a non-linear decision boundary? Also, please explain decision boundary for decision trees. If the two gaussians are non isotropic you can derive that the bound is quadratic/elliptic curve.

If you're more than a casual fan of either Steven Spielberg or Stanley Kubrick, then you likely know that the film A.I. Artificial Intelligence is basically a collaboration between the two filmmakers. Kubrick began working on the film in the 1970s and kept developing it through the 90s, mostly because he didn't believe technology would effectively allow him to create the lead character David in the way he wanted. In 1995, Kubrick handed the project to Steven Spielberg, who would run with it starting in 1999 following the death of the iconic director behind The Shining, A Clockwork Orange and 2001: A Space Odyssey. However, when you look at some parts of A.I. Artificial Intelligence, it's almost as if Kubrick was looking over Spielberg's shoulder. There are some striking similarities in shots between the 2001 sci-fi film and Kubrick's previous work.

I think this should be talked about more. Why does no one talks about this???? Imagine if this could be combined with the fast weights paper! Does anybody have an ELI5 or a more informal explanation?

"In short, the rise of powerful AI will be either the best or the worst thing ever to happen to humanity," Hawking said this week at the opening of the Leverhulme Centre for the Future of Intelligence in Cambridge, England. "We do not yet know which." The LCFI, which opened Monday, is part of the University of Cambridge's Centre for the Study of Existential Risk. Their goal is to answer some of the biggest questions facing the rapidly advancing field -- including what it all means, and how to keep AI from killing us. In the past, Hawking has warned that AI could end mankind.

Comcast Corp. CEO Brian Roberts said Friday that he believes one of the biggest business trends will be "artificial intelligence," in which computers do tasks once done by people, leading to smart cities and smart cars. He didn't say how he thought artificial intelligence could transform Comcast, but he noted that "there's always a dark side to that kind of change." In a question-and-answer format, Roberts spoke conversationally to about 1,200 executives, lawyers, city and state officials, and others at the annual Greater Philadelphia Chamber of Commerce breakfast . Before Roberts' remarks, Drexel University president John Fry officially took over as the chamber's board chairman, replacing Exelon Corp.'s Dennis O'Brien. Fry said he believed that Philadelphia could be one of the world's 25 top-tier cities, but that civic leaders couldn't be complacent because "as we sit down here for breakfast, [competing cities] are preparing to eat our lunch."

I can't offer much in terms of other entry level recommendations, but I can recommend you learn to utilize the resource pages on the coursera course. The way the andrew NG course is set up is that you more or less try to have an idea of how these algorithms work at a conceptual level through the videos, then when you go to programming assignments, you can skip a lot of the prep work and focus on implementing the machine learning algorithms. Now those algorithms might be a little hard to follow at first, which is okay and expected, and that's where the lecture notes and/or wiki come in. From the wiki you can more or less translate the math formulas into code syntax and the assignments are more or less complete. The weeks build off each other so as you learn how to do one part, they do a little less prep work for you so you have to learn how to do another part, and so forth.

Data Scientists across Skyscanner have started meeting every fortnight to discuss research papers that tackle similar problems to those that we face within Skyscanner. The 2nd paper we read was: "Mining Large Streams of User Data for Personalized Recommendations" (hi Xavier!). Just like the last post, we're we're also writing up a brief, non-technical overview the problems/opportunities we discussed. Netflix famously announced a 1M prize in 2006, calling on researchers across the world to improve their movie recommender system by 10%. To create this competition, they had to make a critical decision: how could Netflix measure a 10% improvement in their system?

They took NYC Data Science Academy 12 week full time Data Science Bootcamp pr... between Sept 23 to Dec 18, 2015. The post was based on their third class project(due at 6th week of the program). Note: You'll find snippets of our code in the following post. For the full code please go to the github repository. Thanks to digital journalism, we have millions of opinions on practically every topic easily accessible at our fingertips.

Sam Kronick has a bunch of rocks arrayed in front of him on a raised desk in his Oakland studio. He's an artist and his plan is to sketch the rocks, but not with pen and paper. He and his artistic partner Tara Shi are going to do a 3D scan of them so that an artificial intelligence program can map their contours, learn to recognize rocks and then start generating its own craggy depictions. The project is deceptively simple: trying to get artificial intelligence to make nature art. Kronick and Shi are using a neural net, a computer program loosely modeled on biological neural systems like the human brain.

Professor Stephen Hawking recently unveiled an Artificial Intelligence Research Center. The Center is set up at Cambridge University just this week. The Center will focus mainly on Artificial Intelligence but will look into "Terminator" style army droids - like in the movie. The Leverhulme Centre for the Future of Intelligence is looking into the development of Artificial Intelligence for the benefit of society. And that also include military applications, according to Inverse.