Getting started with Multivariate Adaptive Regression Splines
In this post we will introduce multivariate adaptive regression splines model (MARS) using python. This is a regression model that can be seen as a non-parametric extension of the standard linear model.
The multivariate adaptive regression splines model MARS builds a model of the from
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.
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.
Learn to identify ingredients with neural networks
Today we want to build a model, that can identify ingredients in cooking recipes. I use the “German Recipes Dataset”, I recently published on kaggle. We have more than 12000 German recipes and their ingredients list.