Posts In Category

Machine Learning

Machine learning is Big Data being used at its most extreme level, processing vast and disparate data sets at a machine level to find patterns buried within, producing insights beyond human recognition.

Machine LearningNews

LinkedIn just announced they have acquired Newsle, a startup which uses algorithms to drown out social network noise and deliver only the most relevant updates to its users. On their blog, LinkedIn stated the following about their latest acquisition: Over the past year or so, we’ve introduced several new ways

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Machine LearningNews

The advances in the field of speech recognition over the past couple of years have been huge. Since Microsoft began working with deep learning neural networks in 2009, huge improvements in the way algorithms can detect your dialogue have occurred. Since then, many other big names like Google and IBM

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Machine LearningNews

Jeff Hawkins and Donna Dubinsky started Numenta with the intention of modeling and mimicing how the human brain processes information. It was an ambitious task, and one that has been nearly a decade in the making. But now, 9 years after it was started, Numenta has held an open house

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Machine LearningNews

Although the days of endless drawers of VCR tapes are over, home videos are still alive and well. With cameras fitted to our mobiles and tablets and more affordable camera technology, everyone’s become an amateur videographer. But often, we’ll shoot five minutes of video for an interesting moment which could

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Machine LearningNews

We’ve talked alot of the the potentially nefarious uses of big data, but few would argue that when it comes to health, data is a powerful and benevolent tool. This tool is being to use at Mount Sinai hospital, where Doctors have developed an associative memory engine which can diagnose

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Machine LearningUnderstanding Big Data

In 1959, Arthur Samuel defined machine learning as a “Field of study that gives computers the ability to learn without being explicitly programmed”. It’s a science of algorithms and automation; the algorithms “learn” from the dataset, identifying patterns or classifying trends for instance, and then automates output- whether that’s sorting

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Machine LearningNewsStartups

Earlier this month, we reported on IBM’s Watson Mobile Developer Challenger Challenge, where IBM held an elite competition to give top developers access to their supercomputer Watson. Now, the Watson team are what VentureBeat is calling a “hiring binge”, trying to source to top minds in New York’s startups to

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Machine LearningNews

Yesterday, Microsoft announced Azure ML, a new machine learning service on the cloud-based Azure platform. The service will allow users to build big data-based apps and APIs to predict future events. The platform uses machine learning capabilities already seen in Microsoft’s Bing and Xbox, using predefined workflows and templates to

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Machine LearningNews

 Five Labs profile of Yahoo CEO, Marissa Mayer We live in era of self-archiving. Of course, this has its advantages; it can help you promote projects, brands, and potentially even land you a job. But the problem with self-archiving and social media is you can never know exactly who’s paying

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Machine LearningNews

Since 2003, New York has been using the “311” service to field non-emergency calls and questions. In a thriving and ever-developing hub such as New York, there have been alot of questions to answer- the Manhattan call centre receives 60,000 enquiries a day via phone, text, web and mobile app.

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