1. The Designership Episode One: The Problem


    from Bridgeable Added 276 1 0

    Every summer, Bridgeable hires three interns to work on a pro-bono project. This year, we're working with MaRS on the MyHealth initiative. We're designing solutions for new moms and their babies. In this episode we introduce Bridgeable, the interns, and the complex problem we need to solve. Next episode features design research!

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    • SQL Server with Access 2014-11-11


      from Juan Soto Added 111 0 0

      Using SQL Server data sets and stored procedures to create dashboards in Microsoft Access

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      • “On Interaction in Data Mining” Dr. Andreas Holzinger (VISIGRAPP and MODELSWARD 2014)


        from INSTICC Added 38 0 0

        Keynote Title: On Interaction in Data Mining Keynote Lecturer: Dr. Andreas Holzinger Keynote Chair: Dr. Miroslaw Bober Presented on: 07-01-2014, Lisbon, Portugal Abstract: One of the grand challenges in our networked world are the large, weakly structured and unstructured data sets. This is most evident in Biomedicine (Medical Informatics + Bioinformatics): The trend towards personalized medicine results in increasingly large amounts of (-omics) data. In the life sciences domain, most data models are characterized by complexity, which makes manual analysis very time-consuming and often practically impossible. To deal with such data, solutions from the machine learning community are indispensable and it is marvelous what sophisticated algorithms can do within high-dimensional spaces. We want to enable a domain expert end-user to interactively deal with these algorithms and data, so to enable novel discoveries and previously unknown insights. Our quest is to make such approaches interactive, hence to enable a computationally non-expert to gain insight into the data, yet to find a starting point: “What is interesting?”. When mapping the results back from arbitrarily high-dimensional spaces R^n into R^2 there is always the danger of modeling artifacts, which may be interpreted wrongly. A synergistic combination of methodologies and approaches of two areas offer ideal conditions towards working on solutions for such problems: Human-Computer Interaction (HCI) and Knowledge Discovery/Data Mining (KDD), with the goal of supporting human intelligence with machine intelligence. Both fields have many unexplored, complementing intersections and the aim is to combine the strengths of automatic, computer-based methods, both in time and space, with the strengths of human perception and cognition, e.g. in discovering patterns, trends, similarities, anomalies etc. in data. Presented at the following Conferences: VISIGRAPP, International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications and MODELSWARD, International Conference on Model-Driven Engineering and Software Development Conferences Websites: http://www.visigrapp.org/Home.aspx and http://www.modelsward.org/Home.aspx

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        • Capstone Basics 2 - Multiple Runs


          from Urban School of San Francisco Added 1 0 0

          How to cycle between multiple data sets in capstone and select the run(s) you want.

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          • Los datasets (conjuntos de datos) en Photoshop cs6


            from Johnny Mora Added 50 0 1

            Capsula educativa , que muestra el proceso automatizado de los datasets (conjuntos de datos) en photoshop cs6.

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            • Datasets 1


              from Galaxy Project Added 2,662 0 0

              Overview of Dataset Basics: Content, Metadata Attributes, and Interface Functions. Learn more with "Datasets 2".

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              • DataGuru


                from Murdoch Marketing Added 67 0 0

                The process of gathering and cleansing model data can be time-consuming and complex. Data sets which drive optimization and simulation models reside in multiple locations and formats, and the size of this data often exceeds the capacity of desktop applications. How can business analysts efficiently work with big data without extensive training or query-building expertise? LLamasoft Data Guru simplifies the transformation of data and creates documented, repeatable, time-saving workflows. The interactive, visual tool removes coding and query-building from the process and enables analysts to effectively work with big data.

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                • MapReduce in JavaScript on Windows HDInsights


                  from Dj Das Added 57 0 0

                  This presentation demonstrates how Third Eye developed Map Reduce code using JacaScript on the Windows HD Insights platform.

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                  • Gent en Ik: een Studentikoze Symbiose (versie 2.0)


                    from Joost Van Driessche Added 18 0 0

                    Video voor het project "Gent en Ik: een Studentikoze Symbiose" in het kader van het vak "Prolab I" (Artevelde Hogeschool - 2MMP ProDUCE) Muziek: © Adam Young - Ridiculously Happy Beelden: © Joost Van Driessche Betrokkenheid bij project: opnames + montage Gebruikte programma's: iMovie

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                    • Gent en Ik: een Studentikoze Symbiose (One Minute_Versie 2.0)


                      from Joost Van Driessche Added 52 0 0

                      One Minute video voor het project "Gent en Ik: een Studentikoze Symbiose" in het kader van het vak "Audiovisual Arts & Production" (Artevelde Hogeschool - 2MMP ProDUCE) Muziek: © Adam Young - Ridiculously Happy Beelden: © Joost Van Driessche Betrokkenheid bij project: opnames + montage Gebruikte programma's: iMovie

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