1. Running Rstudio on EC2


    from Greg Lamp / Added

    1,169 Plays / / 6 Comments

    I'll show you step by step how you can spin up an EC2 server and install Rstudio in about 10 minutes!

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    • What is Machine Learning?


      from e.d.Films (Daniel Gies) / Added

      4,702 Plays / / 4 Comments

      Our first live action, green screen shoot using puppets. What is Machine Learning was commissioned and produced by the Science Alberta Foundation. Executive Producers: Science Alberta Foundation Puppeteers: Noreen Young, Stephen Braithwaite Special Thanks to: The Town of Mississippi Mills Production Manager: Emily Page Animation, Illustration, Editorial, Post Production: Daniel Gies Sound Design and Music: Daniel Gies Story and Script: Science Alberta, Emily Paige, Daniel Gies

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      • Data Workflows for Machine Learning


        from SF Bay Area Machine Learning / Added

        950 Plays / / 3 Comments

        Speaker: Paco Nathan Abstract: We compare/contrast several open source frameworks which have emerged for Machine Learning workflows, including KNIME, IPython Notebook and related Py libraries, Cascading, Cascalog, Scalding, Summingbird, Spark/MLbase, MBrace on .NET, etc. The analysis develops several points for "best of breed" and what features would be great to see across the board for many frameworks... leading up to a "scorecard" to help evaluate different alternatives. We also review the PMML standard for migrating predictive models, e.g., from SAS to Hadoop. Speaker bio: Paco Nathan, is a “player/coach” who's led innovative Data teams building large-scale apps for 10+ years, and worked as an OSS evangelist for the past 2+ years. Expert in distributed systems, machine learning, cloud computing, functional programming -- with a focus on Enterprise data workflows. Paco is an O'Reilly author, and an advisor for several firms including The Data Guild andZettacap. Paco received his BS Math Sci and MS Comp Sci degrees from Stanford University, and has 30+ years technology industry experience ranging from Bell Labs to early-stage start-ups. Acknowledgments Special thanks to The Climate Corporation for hosting the event, and Tommy Chheng for recording.

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        • A Quick PredictionIO Demo


          from PredictionIO Team / Added

          51.2K Plays / / 3 Comments

          Product demo of PredictionIO. PredictionIO is an open source machine learning server for developers to build smarter applications with Machine Learning and data rapidly.

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          • Controlling Music Software With Hand Motion


            from Chris Kiefer / Added

            777 Plays / / 2 Comments

            This video shows a soundcape composition program controlled by hand motion. The software uses machine learning and computer vision techniques to infer continuous and discrete control data from hand movements. Features: - skin segmentation using a neural network - hand shape recognition using a support vector machine - discrete gesture segmentation and recognition More information at: http://www.informatics.sussex.ac.uk/users/ck84. Made with: OpenFrameworks, OpenCV, libFANN, libSVM, SuperCollider, IXI Quarks, macbook pro, PS3Eye This demo uses the following sound files from Freesound (http://www.freesound.org): AndrewDuke0012.wav by Andrew Duke C_S 8.aif by Corsica_S angels.wav by ERH extreme_noise_fltr2.aif by thanvannispen This is an academic project, and will be released under the GPL license in the future.

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            • Hand Gesture Recognizer in Processing


              from Greg Borenstein / Added

              349 Plays / / 2 Comments

              An example of using Support Vector Machines and Histogram of Oriented Gradients to detect hand gestures in Processing. Created for Makematics at NYU ITP: http://makematics.com/syllabus/2012-fall/

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              • Introducing Porta3D


                from Metagraphos / Added

                550 Plays / / 2 Comments

                The easiest way to handle complex data is coming soon!

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                • Hunch Intro - Homepage version


                  from Hunch / Added

                  69.5K Plays / / 2 Comments

                  Overview of how Hunch.com provides recommendations that are based on your tastes.

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                  • RetentionGrid - Opportunity Mining. Automated Selling.


                    from AVARI / Added

                    3,521 Plays / / 2 Comments

                    RetentionGrid predicts and produces repeat business for your online shop. Our easy-to-use and affordable product enables the non-technical end-user to harness the power of big data, to act on it, and to measure success. We create automated campaigns with the right timing and content to bring back the 80% of shoppers who usually buy once and never again. Understand Customer Loyalty See your one-time buyers and weekly repeat sales. Understand customer loyalty and lifecycle at a glance. Opportunity Alerts You'll get a weekly email telling you exactly when and how to act to generate more repeat business from specific sets of customers. Customer Grid You'll see the buying rhythms of the segments, and individual customers. You can adjust the filters to fine-tune groups by country, order value, tags, and more. Smart Campaigns Send personalized, timely, and relevant communications. Include "hyper-targeted" product recommendations for each customer. Send once or automate with triggers based on individual life cycle criteria. ROI Reporting Monitor the effectiveness of messaging, special offers, and return on investment for every retention campaign you send. Music: Clear Day - Composed and performed by Bensound http://www.bensound.com

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                    • Divvy - Fast and intuitive exploratory data analysis (divvy.ucsd.edu)


                      from Joshua Lewis / Added

                      2,677 Plays / / 2 Comments

                      Divvy is a 64-bit Mac OS X 10.6 or 10.7 (Snow Leopard or Lion) application for performing unsupervised machine learning and visualization. We focus on the clustering (separating data into groups) and dimensionality reduction (finding low dimensional structure in high dimensional data) subfields of machine learning. For visualization we provide support for both the whole dataset (e.g. a scatter plot) and points (e.g. transforming a particular point into an image).

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                      What are Tags?


                      Tags are keywords that describe videos. For example, a video of your Hawaiian vacation might be tagged with "Hawaii," "beach," "surfing," and "sunburn."