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.  

The video below illustrates how I have used table properties such as row selections, marker shapes and colour associations to help interactively visualise the behaviour of a machine learning algorithm.  The algorithm is based on a perceptron.

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