In this post we'll talk about what the Central Limit Theorem is, why it's important, and how we can see it in action, using R.

Hello Person From The Internet who has decided to come here. Thank you for dropping by.

Today I’m going to talk about a book I read - Work Rules!: Insights from Inside Google That Will Transform How You Live and Lead by Laszlo Bock.

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.