Becoming a Bayesian, Part 1

Posted on Sun 19 April 2015 in Machine Learning

I have used probabilistic models for a number of years now and over this time I have used different paradigms to build my models, to estimate them from data, and to perform inference and predictions.

Overall I have slowly become a Bayesian; however, it has been a rough journey. When …


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How to report uncertainty

Posted on Thu 19 March 2015 in Machine Learning

Error bars and the \(\pm\)-notation are used to quantitatively convey uncertainty in experimental results. For example, you would often read statements like \(140.7 \textrm{Hz} \pm 2.8 \textrm{ Hz SEM}\) in a paper to report both an experimental average and its uncertainty.

Unfortunately, in many fields (such …


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Machine Learning in Cambridge 2015

Posted on Thu 26 February 2015 in Machine Learning

This year we (Zoubin, together with David and myself) are again organizing a workshop event for the local Cambridge (UK) machine learning community. The schedule is available at the workshop homepage, Machine Learning in Cambridge 2015, and we also plan to make all talks available as video recordings after the …


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