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Interesting Computing

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Learning algorithms are the seeds, data is the soil, and the learned models are the plants.

  • Integration is the answer!

    In the last year, I have been integrating the SMART conservation tools with some data analytics tools (http://smartconservationtools.org/).  Many animals life could be saved by predicting of future illegal activities around the world. This type of data analysis relies on a broad set of observations religiously input. This data cannot only advance research in endangered…

    July 9, 2018
  • Scalability, do we care?

    Scalability is often a property that machine learning practitioners hope to achieve. They have a dream that their techniques could perhaps solve some problem instances that are easy to solve and some more challenging ones. The No- Free-Lunch theorem suggests otherwise and many research aim at advancing techniques in this direction. My contribution demonstrates that…

    December 21, 2017
  • Internet of things can only drive in our reliance on big data

    In this millennium the volume of data has became so large that some new methods of analysis have been created. This is an issue that is not likely to disappear. With the    rise of smart devices even more information is being collected as you are reading this article. Researchers can gather some information more…

    April 7, 2017
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