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In this post you will learn how to do basic Named Entity Recognition (NER) in python. This is the first post in a series about NER.
Today we will apply the concept of multi-label multi-class classification with neural networks from the last post to
classify movie posters by genre.
Often in machine learning tasks, you have multiple possible labels for one sample that are not mutually exclusive. This is called a multi-class, multi-label classification problem. Obvious suspects are image classification and text classification, where a document can have multiple… Continue Reading →
When running experiments with deep neural nets you want to use appropriate hardware. Most of the time I work on a Thinkpad laptop with no GPU. This makes experimenting painfully slow. A convenient way is to use an AWS instance,… Continue Reading →
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.