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Clinton Boys

I am an Australian data scientist and mathematician, living in Tel Aviv.

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Part of my new job involves developing data-driven models for user behaviour and other metrics. I’ve read quite a bit about common machine learning algorithms, and used them in examples and toy models, but in the first few weeks at work I have had a chance to actually use some of these algorithms on real-world problems.

One thing I’ve come to understand a lot better is one of my favourite classification algorithms, the support vector machine (SVM). I had always had in the back of my head that this algorithm is nothing more than a generalisation of a two-dimensional decision boundary optimisation problem to higher dimensions, but now I’ve had to use the model a little more deeply, I think I have a better idea of its subtleties.