I'm currently working at Nvidia, where I'm focused on GPU powered recommender systems as part of the Nvidia Merlin project. Before working at Nvidia, I was at Amazon, Flipboard, and Zite.
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Numerical Optimization is one of the central techniques in Machine Learning. For many problems it is hard to figure out the best solution directly, but it is relatively easy to set up a loss function that measures how good a solution is - and then minimize the parameters of that function to find the solution.
If you look at the programming languages benchmarks game, Python is one of the slowest commonly used programming languages out there . Typical programs written in pure Python average around 40 times slower than the equivalent program written in C or C++.
In a previous post I wrote about how to build a ‘People Who Like This Also Like …’ feature for displaying lists of similar musicians. My goal was to show how simple Information Retrieval techniques can do a good job calculating lists of related artists. For instance, using BM25 distance on The Beatles shows the most…
One of the things I'm working on right now is a project that's aggregating data found in developers GitHub profiles. Since there are a couple of problems with using GitHub profiles as a data source like this, I wanted to first list out some of the issues I have with trying to assess developers by looking only at their…
A while ago a friend of mine asked me how I would go about building a ‘People Who Like This Also Like …’ feature for a music startup he was working at. For each band or musician, he wanted to display a list of other artists that people might also be interested in.
While attempting to learn Javascript and D3.js a couple months ago, I wrote a little library for displaying area proportional venn diagrams .