I am a second-year Computer Science student at the University of Texas at Austin. I am currently working on ML/Data Science research. My work involves...
detailed notes and summary of this paper by Wang et al. · citation H. Wang, Y. Lin, A. Slosar, S. Sreejith, N. Ramachandra, and S. Yoo, “Deconvolution of...
detailed summary notes on this paper by Guo et al. · citation Y. Guo et al., “Adaptive optics based on machine learning: a review,” OEA, vol. 5, no. 7,...
which one is better? · Decision trees/tree ensembles work well on tabular (structured) data, such as the type that you could store in a...
a quick explanation · Boosting is a way of making decision tree ensembles both more efficient as well as more accurate. It derives from a practice that...
an in-depth explanation · Decision trees on their own can be quite sensitive to small changes in the data. One solution is to build multiple decision...
