NMF (and matrix factorization techniques more generally) are a really underrated machine learning technique. If you have a decent intuition for linear algebra,

NMF (and matrix factorization techniques more generally) are a really underrated machine learning technique. If you have a decent intuition for linear algebra, matrix factorizations are straightforward to understand, fairly easy to interpret, and can work wonders in applications far beyond recommender systems. As the blog post mentions, NMF has a potential applications to text mining, which I've tried out here on Reddit posts: https://eigenfoo.xyz/reddit-clusters/ https://eigenfoo.xyz/reddit-clusters/