tullo.ch

3 October 2021 We hear a lot these days that "machine learning systems are stuck in a rut". This is might be expanded out as "standard architectures run at high efficiencies due to disproportionate e...

11 March 2014 In Speeding up isotonic regression in scikit-learn, we dropped down into Cython to improve the performance of a regression algorithm. I thought it would be interesting to compare the per...

Isotonic regression is a useful non-parametric regression technique for fitting an increasing function to a given dataset. A classic use is in improving the calibration of a probabilistic classifier. ...

30 November 2013 Online learning (as opposed to more traditional batched machine learning) is more and more commonly applied to training machine learned models at scale. The chief advantage is that th...