Week 21 (19/11/2018 - 23/11/2018)

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Ropar data hypothesis testing

After drawing inferences from the data visualization, we needed to make sure that the results are true or not for a population(we were given a sample). So, we studied hypothesis testing and then applied it in order to find the dependency of the factors on each other and also with the number of accidents or fatalities.

Hypothesis testing is a statistical method that is used in making statistical decisions using experimental data. Hypothesis Testing is basically an assumption that we make about the population parameter.

Various tests used for hypothesis testing are:
  • z-statistic and p-value
  • t-test
  • Chi square test
  • ANOVA

Traffic Light Application

Chandigarh's traffic police gave us the responsibility of designing an android application which regulated the time that should be given to a lane's cars to pass . It was based on many factors like time of red light, total time of amber light, etc.

Firstly, we made a webpage using PHP, HTML and CSS. Then, we used Phonegap to design this appliaction which converts a webpage into an android application.

Session with Gurmukh Sir

Gurmukh Sir, a valuable employee of Tatras Data Company gave us an overview of Convolutional Networks which are a very powerfu tool for image processing.

He then introduced us to some unique and creative concepts like style transfer and image stitching which are a significant step towards AI entertainment.

Image Stitching - Image stitching or photo stitching is the process of combining multiple photographic images with overlapping fields of view to produce a segmented panorama or high-resolution image.

Applications:
  • “Image Stabilization” feature in camcorders that use frame-rate image  alignment
  • High-resolution photomosaics in digital maps and satellite photos
  • Medical imaging
  • Multiple image super-resolution
  • Video stitching
  • Object insertion
    Image result for image stitching

    Style Transfer -         Style transfer is the technique of recomposing images in the style of other images.
    Image result for style transfer

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