In this post we discuss the H2O machine learning platform. We talk about what H2O is, and how to get started with it, using R - we create a Random Forest which we use to classify the Iris Dataset.

In this post we talk about the inverse matrix. We discuss what it means for a matrix to be invertible. We then discuss what it means for a matrix not to be invertible - singular. Finally, we briefly go through how to find a matrix’s inverse.

In this article we describe what the nullspace is. We go on to explain how to find the nullspace.

In my last post we saw how a matrix could operate on a vector to produce a result…

One of the most crucial changes in my viewpoint came when I learned that matrices, much like functions, act on inputs. Until then, a matrix was just a collection of numbers and matrix multiplication was just a mechanical set of rules used to produce another collection of numbers. I knew that the result of matrix multiplication could be a scalar, a vector or another matrix… but I abandoned any further investigations.

I need a place to document my various ideas as well as the potential results of those ideas.