Mixture of Gaussians with Cross Validation

Nov 29, 2019 · 1 min read
projects

Aug 2019 – Nov 2019

  • Predicted the number of hidden classes in given data from a bivariate mixture of Gaussians using cross-validation and the Akaike Information Criterion (AIC).
  • Implemented the EM algorithm to find MLE estimates of a given mixture with the predicted classes in R.
Statistics Machine Learning EM Algorithm R
Porush Yadav
Authors
Porush Yadav

Hi! I am Porush Yadav. I have graduated from IIT Kanpur with a BS-MS Dual Degree in Mathematics and Scientific Computing. I have Worked at Axis Bank on an image recognition system that leverages neural networks to automate document classification and enhance data extraction. Before that, I interned at Samsung R&D Institute India, eJET systems, and EZ Technologies, where I worked on machine learning applications in signal data compression, recommendation systems, classification systems, and image recognition.

I look forward to leveraging AI and ML expertise to develop impactful solutions that can solve real-life problems.