Transformer models have become the defacto standard for NLP tasks. As an example, I’m sure you’ve already seen the awesome GPT3 Transformer demos and articles detailing how much time and money it took to train. (more…)

This article covers Bayesian Decision Theory in detail, and explains how it works in the context of machine learning. (more…)

Machine Learning Summer School (MLSS) 2020. The machine learning summer school series was started in 2002 with the motivation to promote modern methods of statistical machine learning and inference. Machine learning summer schools present topics which are... (more…)

There are many supervised algorithms that can be used to train a classifier. The problem is that it is hard to say which one will be the best fit for your data — there is no golden algorithm that always comes out best. To train a good predictive model you... (more…)

A software engineer has developed a complete daily plan for studying to become a machine learning engineer...