1. Azure ML Tips and Tricks: Importing Data from HDInsight

    07:02

    from BlueGranite / Added

    5 Plays / / 0 Comments

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    • Human motion reconstruction from sparse 3D motion sensors using kernel CCA-based regression

      02:39

      from Jongmin Kim / Added

      6 Plays / / 0 Comments

      This paper presents a real-time performance animation system that reproduces full-body character animation based on sparse three-dimensional (3D) motion sensors on a performer. Producing faithful character animation from this setting is a mathematically ill-posed problem, because input data from the sensors are not sufficient to determine the full degrees of freedom of a character. Given the input data from 3D motion sensors, we select similar poses from a motion database and build an online local model that transforms the low-dimensional input signal into a high-dimensional character pose. A regression method based on kernel canonical correlation analysis (CCA) is employed, because it effectively handles a wide variety of motions. Examples show that various human motions are naturally reproduced by the proposed method.

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      • Activity Classification with Acceleration and Rotationrate Sensor

        00:25

        from MechLab Engineering / Added

        85 Plays / / 0 Comments

        Running, sitting, walking and biking: Activity estimation with Machine Learning. 97% accuracy. Real Time. Python

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        • Tesla ADS - Demo - New credit evaluation

          02:51

          from Jonathan Baraldi / Added

          2 Plays / / 0 Comments

          In this demo we present the proposal to get a credit card, been evaluated on the fly with artificial intelligence to point if it's fraud or not, if it's aprroved or not, and even how much of credit should be given, with a simple geospatial function that verify the distance beetween the phone address and the card holder address.

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          • Textio: 86-second video intro

            01:26

            from Textio / Added

            929 Plays / / 0 Comments

            Textio uses advanced statistical models to predict how well your job listings will perform before you even list them! You get insights and real-time feedback as you type, based on data from over 10,000 companies. Fix your listing in just a few minutes to attract and hire the awesome candidates you need. Try it for free at https://textio.com.

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            • Azure Machine Learning: How To

              05:41

              from Michelle Pauwels / Added

              4 Plays / / 0 Comments

              For an assignment we had to explain one of the topics in 5 minutes to someone who doesn't know the subject. I chose Azure Machine Learning!

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              • Machine Learning & AI Discussion

                12:14

                from The National Academies / Added

                2 Plays / / 0 Comments

                Featuring Jaime Carbonell, Eric Horvitz, and Peter Lee. The principal goal of the Continuing Innovation in IT workshop was to collect and make available to policy makers and members of the IT community first-person narratives that illustrate the link between government investments in academic and industry research to the ultimate creation of new information technology industries. The workshop was hosted by the Computer Science and Telecommunications Board of the National Research Council on March 5, 2015 in Washington, D.C.

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                • Big Data and Machine Learning

                  28:20

                  from The National Academies / Added

                  16 Plays / / 0 Comments

                  Delivered by Jaime Carbonell of Carnegie Mellon University. View the speaker’s slides at http://sites.nationalacademies.org/CSTB/CSTB_153377. The principal goal of the Continuing Innovation in IT workshop was to collect and make available to policy makers and members of the IT community first-person narratives that illustrate the link between government investments in academic and industry research to the ultimate creation of new information technology industries. The workshop was hosted by the Computer Science and Telecommunications Board of the National Research Council on March 5, 2015 in Washington, D.C.

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                  • DSC Webinar Series: Learn How To Work with Large Datasets to Build Predictive Models with Microsoft’s Analytics Toolkit

                    01:00:47

                    from Tim Matteson / Added

                    250 Plays / / 0 Comments

                    In today’s webinar we will use a case study of NY taxi data to discuss and cover how: • Azure provides the infrastructure for storing and manipulating large data sets • Azure ML provides an algorithm (Learning with Counts) to train a predictive model with large data sets • To created a model to predict tips on NY Taxi rides using Azure storage, HDInsight and Azure ML

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                    • Why can't you define bad behavior in security?

                      01:21

                      from Allure Security / Added

                      8 Plays / / 0 Comments

                      We sat down with Allure CEO Salvatore Stolfo to talk about the current cyber security landscape. Allure Security Technology, Inc. http://www.alluresecurity.com/

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