Latent Semantic Analysis (LSA) for Text Classification Tutorial
In this post I'll provide a tutorial of Latent Semantic Analysis as well as some Python example code that shows the technique in action.
Jeff Dean Keynote at GTC 2015
Nvidia puts on its GPU Technology Conference (GTC) each year to highlight work being done on GPUs outside of graphics–including machine learning.
Notes on PageRank
This post is just intended to capture my notes on the PageRank algorithm as described in the Mining Massive Datasets course on Coursera.
Matrix Multiplication with cuBLAS Example
This post provides some overview and explanation of NVIDIA’s provided sample project ‘matrixMulCUBLAS’ for super-fast matrix multiplication with cuBLAS. The example can be a little confusing, and I think it warrants some explanation.
RBFN Tutorial Part II - Function Approximation
A number of people have asked me, in response to my tutorial on Radial Basis Function Networks (RBFNs) for classification, about how you would apply an RBFN to function approximation or regression (and for Matlab code to do this, which you can find at the end of the post).