Could someone give me example code which uses Tensorflow to mimic a single layer neural network for regression and gives an r2 value of the result? An example of the type of data I'm working with is the airfoil self noise data set, I would import training and test sets.

While it already feels that AlphaGo is ancient history in the fast moving AI world, I think it makes a powerful case for how human-machine collaboration could help us improve our own mastery of complex tasks. Google DeepMind also made the headlines for the data sharing agreement they signed with three hospitals that are part of UK's National Health Service. The data on 1.6 million patients includes live and historical medical records stretching back 5 years. Its stated use is for "real time clinical analytics, detection, diagnosis and decision support", with an initial focus on the Company's Streams app for measuring the risk of acute kidney injury. While many engaged in heated debate over data privacy (see this headline, courtesy of The Daily Mail), my view is that medicine should be moving towards real-time monitoring of health and prediction of future conditions.

Ryan Jones is a well-known SEO and Manager of Search Strategy & Analytics at SapientNitro. Ryan Jones is a veteran of SEJ Summit Chicago, having spoken there last year. This year, I'm so excited for Ryan's presentation on machine learning and how it affects search, which is a topic I'm sure most of you want to learn more about. Check out Ryan's insight below and feel free to ask questions in the comment section! I hate to spoil the presentation here, but the short answer is: if you've been doing SEO properly RankBrain doesn't change anything.

Pretty much every cinematic portrayal of artificial intelligence has been less than encouraging. HAL 9000 kills the crew members on the Discovery in 2001: A Space Odyssey, making us all a little bit afraid of handing the reins over to computers. Sonny kills his creator in I, Robot, increasing worldwide scepticism about the integration of humans and their smart robots. Even real life AI has given us pause. For example, when an IBM computer defeated Russian chess Grandmaster Garry Kasparov in the 1990s, it was definitely a cause for concern. For the most part, though, AI has been more accepted in everyday practice.

Analysts are saying that Apple's upcoming updates to its Siri voice assistant should help the company address criticisms that it can't compete on artificial intelligence. Apple is now opening Siri to apps made by other companies, and like Google and Microsoft, it's bringing the digital assistant to desktop and laptop computers. It's also making Siri smarter by using what Apple calls differential privacy. Patrick Moorhead of Moor Insights & Strategy explains it as Apple using non-personal information in aggregate to teach Siri new tricks, then having all the personalization take place on the individual device. It's in contrast to Google's approach of doing everything over the internet -- that is, in the "cloud."

Aerial drones get all the attention, but a new terrestrial drone named the Pegasus:Multiscope is an autonomous treaded vehicle that its makers call "the first unmanned ground vehicle (UGV) for off-road use." Use cases for the Pegasus:Multiscope include surveying challenging terrain for civil engineering projects or agriculture, or in hazardous areas such as near nuclear power stations or in conflict zones. The UGV's treads reduce ground pressure at any one point, allowing the vehicle, which weighs just under 2000 pounds, to traverse any type of terrain, including mud, sand or snow. Contractor Oshkosh Defense designs solutions to turn existing military vehicles into UGV.

Neural networks are already beating us at games, organizing our smartphone photos, and answering our emails. Eventually, they could be filling jobs in Hollywood. Over at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL), a team of six researchers created a machine-learning system that matches sound effects to video clips. Before you get too excited, the CSAIL algorithm can't do its audio work on any old video, and the sound effects it produces are limited. For the project, CSAIL PhD student Andrew Owens and postgrad Phillip Isola recorded videos of themselves whacking a bunch of things with drumsticks: stumps, tables, chairs, puddles, banisters, dead leaves, the dirty ground.

Thanks to its role underpinning many of the recent advances in artificial intelligence, machine learning has become of mainstream interest to many technologists and developers. Here we'll explain what it is, how you can get started plus the best tools and languages you need to develop machine learning technology. Machine learning is a subset of artificial intelligence defined by US computing pioneer Arthur Samuel in 1959 as a'field of study that gives computers the ability to learn without being explicitly programmed'. Instead, computers are'trained' to spot patterns or identify trends by feeding them large amounts of data. You may have also heard of'deep learning' or'neural networks', another subset within machine learning.

Imagine you want to know the sentiment of an email without reading it. This can be useful if you want to ignore negative emails for certain parts of the day. I have built a solution for that, by integrating Azure Machine Learning in an Office Outlook Add-In. I had already planned this blog post a month ago, but at that time it was not working in client-side only applications; the API end point was not CORS enabled. This has now been fixed by Microsoft, so I can use this from my Outlook Add-In without any server side component.

Giving up control and selling the sales team represent some of the biggest challenges to implementing machine learning into email marketing. Or so say Jennifer Muse, Senior Director, Email Product Marketing, Lifescript Jon Weiss, Director, Email Marketing Operations, Sirius XM Radio Inc.to moderator Chris Marriott, Senior Vice President of Strategic Partnerships, CertainSource at last week's Email Insider Summit. For the complete video of this and other sessions from MediaPost's Email Insider Summit, go to the event agenda.