GE Digital today announced that it has acquired Wise.io, a machine-learning powered service that helps businesses find patterns and trends in their vast data stores. At first glance, that may seem like an odd acquisition for a company like GE. It's important to keep in mind, though, that with Predix, GE already offers its customers a service that focuses on helping them monitor their equipment, whether that's an industrial tool or an aircraft engine, and predict issues based on the monitoring data. As GE CIO Jim Fowler told me, the company's developers wrote a few hundred different models for lots of different assets in Predix. The service has some rudimentary AI capabilities, but the addition of Wise.io's technology -- which can find patterns on its own -- and its team will allow GE to offer a far more flexible model.

SALT LAKE CITY, UT--(Marketwired - Nov 14, 2016) - SC16 -- To help companies join the AI revolution, NVIDIA today announced a collaboration with Microsoft to accelerate AI in the enterprise. Using the first purpose-built enterprise AI framework optimized to run on NVIDIA Tesla GPUs in Microsoft Azure or on-premises, enterprises now have an AI platform that spans from their data center to Microsoft's cloud. "Every industry has awoken to the potential of AI," said Jen-Hsun Huang, founder and chief executive officer, NVIDIA. "We've worked with Microsoft to create a lightning-fast AI platform that is available from on-premises with our DGX-1 supercomputer to the Microsoft Azure cloud. With Microsoft's global reach, every company around the world can now tap the power of AI to transform their business."

My name is Peter Chen and I am the instructor for this course. I want to introduce you to the wonderful world of Machine Learning through practical examples and code. The course will cover Supervised Learning algorithms and models in machine learning. More importantly, it will get you up and running quickly with a practical and at times funny applications of Supervised Learning algorithms. The course has code & sample data for you to run and learn from.

SANTA CLARA, CA--(Marketwired - Nov 14, 2016) - NVIDIA (NASDAQ: NVDA) today announced that it is teaming up with the National Cancer Institute, the U.S. Department of Energy (DOE) and several national laboratories on an initiative to accelerate cancer research. The initiative -- known as the Cancer Moonshot, announced by President Barack Obama during his 2016 State of the Union Address, and led by Vice President Joseph Biden -- aims to deliver a decade of advances in cancer prevention, diagnosis and treatment in just five years. The research efforts include a focus on building an AI framework called CANDLE (Cancer Distributed Learning Environment), which will provide a common discovery platform that brings the power of AI to the fight against cancer. CANDLE will be the first AI framework designed to change the way we understand cancer, providing data scientists around the world with a powerful tool against this disease. Teams collaborating on CANDLE include researchers at the National Cancer Institute (NCI), Frederick National Laboratory for Cancer Research and DOE, as well as at Argonne, Oak Ridge, Livermore and Los Alamos National Laboratories.

Boston -- November 15, 2016 -- Machine learning automation leader DataRobot today announced the integration of its enterprise machine learning platform with the Alteryx, Inc. self-service data analytics platform. The Alteryx connector for DataRobot allows users of both platforms to simplify and automate the end-to-end workflow for predictive analytics, from data preparation to modeling to deployment. The connector is now available to download from the Alteryx Analytics Gallery. Predictive analytics can be challenging and complex, often requiring disconnected tools and a variety of programming environments to blend data from disparate sources, build predictive models and then seamlessly deploy them so they can drive real business value. The integration of Alteryx and DataRobot brings together self-service data preparation, blending and advanced analytics from Alteryx with intuitive, automated machine learning from DataRobot.

Devastated Tinder users are forced to spend a night alone after the app goes down AGAIN deleting everyone's matches Users across the UK, Europe and parts of the US reported issues, including messages not sending, matches being deleted and problems logging in. All my matches on tinder got deleted' Amazon's Spotify-rival arrives in the UK: Music Unlimited... Is Apple expanding into digital GLASSES? Report suggests the... Two-thirds of internet users live under censorship as global... WhatsApp finally launches video calls: Feature will come to... Amazon's Spotify-rival arrives in the UK: Music Unlimited... Is Apple expanding into digital GLASSES? Report suggests the... Two-thirds of internet users live under censorship as global... WhatsApp finally launches video calls: Feature will come to... Gavin Lynn joked'My tinder is not working, this is seriously getting in the way of my search for a future bride' Others compared the outage to current events this year, with Tory Vettori tweeting: 'Earthquakes, flooding and Tinder is broken. Oh universe, will you ever stop punishing our country?!' Chase James tweeted: 'First Donald Trump wins the election and now Tinder deletes all of my matches?

Machine Learning Algorithms From Scratch was designed for you. The book that finally unlocks how machine learning algorithms work. You don't need the math. Everything is explained in simple words, and we work in the language you do know: code. You don't need to be a Python master.

Some videos are available only by enrolling in a Coursera or EdX class. It is free to do so, but sometimes the classes are no longer in session so you have to wait a couple of months, so you have no access. I'm going to be adding more videos from public sources and replacing the online course videos over time. I like using university lectures.

Humans will NOT survive another 1,000 years on Earth, says Stephen Hawking: Physicist warns we must'escape beyond our fragile planet' Professor Hawking was giving a talk at the Oxford University Union He urged the audience to take an interest in space travel He said: 'we must also continue to go into space for the future of humanity' He said: 'we must also continue to go into space for the future of humanity' Humans will not survive another 1,000 years on'fragile' Earth, according to Professor Stephen Hawking. Silicon Valley issues plea to Donald Trump to support strong... Mysterious'megafast electrons' are accelerated to the speed... Intelligent aliens are most likely to be MACHINES,... The AI that could tell you how long your flight is REALLY... Silicon Valley issues plea to Donald Trump to support strong... Mysterious'megafast electrons' are accelerated to the speed... Intelligent aliens are most likely to be MACHINES,... The AI that could tell you how long your flight is REALLY... Professor Hawking said: 'I don't think we will survive another 1,000 years without escaping our fragile planet' Professor Hawking explained in his talk, titled'The Origin of the Universe', how he was currently working to prove how the origin of the universe did obey the laws of physics as was understood what modern physicists called M-theory (stock image) Mob storm police station and lynch suspected paedophile SNL mocks confident Clinton supporters with Dave Chappelle Chili's manager snatches veteran's free meal after complaint Dashcam footage captures moment van swerves before crashing Got any oink-tment?: Excited piglets take a warm bath Man discovers wife is cheating on him following her with drone Obama on Trump: This office has a way of waking you up Emotional Chelsea Handler fights back tears over election results Pres. Obama: Reflection'healthy' for Democratic party Obama's dig at Clinton over her ground game failures Is this the creepy moment the corpse of a girl OPENS her eyes?

Just in time for Halloween, researchers at Data61 and MIT Media lab have created a deep learning algorithm to generate disturbing imagery. There are two parts to the Nightmare Machine project – Haunted Places and Haunted Faces – which are each terrifying and impressive in equal measure. For Haunted Places the team used algorithms to learn what it called a'nightmarifying' process, learning a variety of spooky artistic styles that can then be applied to idyllic imagery. "We use deep learning algorithms to learn first how haunted houses, then ghost towns, and more recently toxic cities look," explains principal research scientist at Data61, Manuel Cebrian. "Then, we apply the learned style to famous landmarks. It's surprising how well the algorithm can extract the element from the "scary" templates and plant it into the landmarks."