Algorithmia

Training with Weights: Machine Learning at the Gym

Today we’re excited to feature a guest post by entrepreneur/engineer Nick Rose. When overcrowding at his gym became a problem, he dove into machine learning to find a solution. This is a great tale of using ML to solve real-world problems, tackling the challenges of learning without an immediate tutor, and crowdsourcing for help. Read More…

Acquiring Data for Document Classification

The Document Classifier is a powerful tool for generating keyword predictions for your documents, whether they are chat transcripts, emails, historical documents, scientific abstracts, or any number of other possible sources.

However, your predictions will only be as good as the dataset you’ve trained on. Since the Document Classifier algorithm supports retraining, this can be done in chunks right on the Algorithmia platform: grab a bunch of data, train your classifier on it, then come back immediately after or weeks later to add even more training data. Read More…

Train a Machine to Turn Documents into Keywords, via Document Classification


Figuring out the meaning of a document was once a very hard problem for computers to solve… even for humans, understanding the complexity of natural language can be tricky!

Fortunately, there are some great tools that can help address those concerns. The Document Classifier turns your existing documents and associated keywords into a model which can be used to predict the most appropriate keywords for new blocks of text. Read More…