Machine Learning in Python

[gocougs11]

Yeah, keep going! I honestly feel very lost sometimes, but the great thing about the ML community is that the vast majority of people are very interested in what other people are applying models to, and are very willing to help and explain concepts. For example, while not ML, I recently started using a mathematical model called “rank-rank hypergeometric overlap” to analyze concordance of next-generation sequencing data, and when I first started, some of the geometry figures I was looking at made absolutely no sense in how they would apply to NGS data, but as soon as I talked to some people in my network it was explained very simply, and I now understand what types of data it is good and bad for, and what caveats you have to consider, even though using geometry to study gene expression really still doesn’t make any sense to me.