Image Processing Machine Learning in R: Denoising Dirty Documents Tutorial Series

So far we have used image processing techniques to improve the images, and then ensembled together the results of that image processing using GBM or XGBoost. But some competitors have achieved reasonable results using purely machine learning approaches. While these pure machine learning approaches aren't enough for the competitors to get to the top of the leader board, they have outperformed some of the models that I have presented in this series of blogs. However these scripts were invariably written in Python and I thought that it would be great to see how to use R to build a similar type of model. So we will add a brute-force machine learning approach to our model.