JMP Software comes complete with a large number of sample data tables.
The other day I found one containing body measurement data: (more…)
JMP Software comes complete with a large number of sample data tables.
The other day I found one containing body measurement data: (more…)
In my last post I introduced the principles of using the pattern matching functions within JMP. Once you start using pattern matching you will discover that you need to use some additional features, which I discuss here. (more…)
Pattern matching is an incredibly powerful technique for interrogating text strings for the purpose of matching and manipulating string patterns. In this post I will illustrate some of the basic principles of pattern matching. This will be followed by more advanced scenarios. (more…)
Where is the “learning” in machine learning? The problem with machine learning algorithms is that they yield a final solution without giving you a sense of the learning process. So I’ve implemented an interactive version of a perceptron learning algorithm. To run the algorithm I need lenearly separable data – hence the posts from the previous weeks. Now I can use that as the basis for visualising the machine learning steps. (more…)