In my last post I was able to successfully re-orient a set of pixel data to reconstruct images of handwritten digits. SInce version 12 of JMP we have been able to create expression table columns that can contain images. That’s a logical location to store my newly revealed images:
Tag Archives: Machine Learning
Visualising Machine Learning Pt. 2
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…)
Visualising Machine Learning pt.1
My last two posts have been talking creating linearly separable data. Hopefully you found some of the features interesting – for example, the idea of creating interactivity using grab handles. But I never really gave a purpose to what I was doing: I wanted to write some machine learning code – specifically a perceptron learning algorithm – and to test the code I needed to create some data on which it could act. (more…)