The shapley value is a popular and useful method to explain machine learning models. The shapley value of a feature is the average contribution of a feature value to the prediction. In this article I’ll show you how to compute shapley values from scratch. Read more

Today, I’m going to talk about topic models in NLP. Specifically we will see how the Latent Dirichlet Allocation model works and we will implement it from scratch in numpy. What is a topic model? Assume we are given a large collections of documents. Read more

Often in text classification, we use so called black-box classifiers. By black-box classifiers I mean a classification system where the internal workings are completely hidden from you. A famous example are deep neural nets, in text classification often recurrent or convolutional neural nets. Read more