2016: The Year of the Data Jedi - insideBIGDATA
In this special guest feature, Matt Bencke, CEO and co-founder of Spare5, sheds light on how "Data Jedis," aka those that can translate and manage Big Data, will be the ones welding light sabers in 2016. Matt is CEO and co-founder of Spare5, the human insights platform that offers business solutions for big data problems through micro-tasks.
IBM Cloud Data Services Ready To Rock Enterprise With Power Features, Marketplace For Developers
IBM told the media that it is expanding its portfolio of Cloud Data Services with more than 25 services, and all can be accessed on the IBM Cloud. At least two IT groups will benefit from the new services.
Microsoft advances AI with open source toolkit
Although Redmond had hosted the CNTK on its own CodePlex site in April of the past year, it was held there under an academic license, freezing out amateur machine shepherds. The toolkit, which supports both GPU and CPU, was developed after Huang and his team realized the tools they used were slowing them down as they were trying to improve the way computers understood speech.
Lie Detection: The Truth Will Set You Free... or to Jail? - DZone Big Data
The Big Data Zone is presented by Exaptive. Learn about how to rapidly iterate data applications, while reusing existing code and leveraging open source technologies. We all know people who believe that they can tell if you're lying just by watching and listening.
What has Kaggle learned from 2 million machine learning models?
Anthony Goldbloom, founder and CEO of Kaggle Kaggle is a community of almost 450K data scientists who have built almost 2MM machine learning models to participate in our competitions. Data scientists come to Kaggle to learn, collaborate and develop the state of the art in machine learning.
Microsoft Selects 10 Machine-Learning Startups for Fourth-Month Accelerator
(TNS) -- SEATTLE - Microsoft is lending a hand to a set of startups working in the highly technical realm of machine learning. The company on Thursday said it had selected 10 startups out of 720 applicants to participate in a four-month accelerator in and around Seattle.
Big Data Ethics: racially biased training data versus machine learning
Writing in Slate, Cathy " Weapons of Math Destruction" O'Neill, a skeptical data-scientist, describes the ways that Big Data intersects with ethical considerations. O'Neill recounts an exercise to improve service to homeless families in New York City, in which data-analysis was used to identify risk-factors for long-term homelessness.
Next generation of machine learning rockstars will trade Google and Facebook for top secret hedge funds
We are on the cusp of an exponential shift in machine learning, the ability of a computer to automatically refine its methods and improve its results as it receives more data. For the last couple of years, technology giants such as Google, IBM and Microsoft have been in an arms race to construct artificial neural networks that mimic the human brain.
Google Search: Reasons Why AI, Machine Learning Expert Earned Keys To Kingdom
Google's search engine based on machine learning is moving to support an integration with artificial intelligence (AI). Beginning in March, the entire search business will fall into the hands of John Giannandrea, an engineer who runs Google's research division. Here's why.
Google AI gets better at 'seeing' the world by learning what to focus on - TechRepublic
Computer vision research is flourishing - delivering machines that recognise who and what is in pictures almost as well as - and occasionally better than - humans. Cheap and readily available computing power combined with models for machine learning systems - known as convolutional neural networks (CNNs) - have enabled a leap forward in the efficacy of computer vision in recent years.
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