Machine Learning Throwdown, Part 5 – Miscellaneous
In the fourth post of the series, I compared prediction functionality and performance between each of the services. We saw that
Analyzing London Council Housing Waiting Lists
Last week Andrew Fisher posted on the Guardian’s Data Blog his analysis of the waiting lists for London council housing.
Reading 43,388 Stories to Find Trends
GlobalGiving used BigML to find trends in 43,388 stories. What’s the story behind that? GlobalGiving is an online marketplace that
Machine Learning Throwdown, Part 4 – Predictions
In the third post of the series, we looked at the types of models supported by each service. While some are useful
Predictive Models: Build once, Run Anywhere
We have released a new version of our open source Python bindings. This new version aims at showing how the BigML API
Machine Learning Throwdown, Part 3 – Models
Pop quiz: among the kids in the picture, which ones are able to jump high enough to reach the hoop
Machine Learning Throwdown, Part 2 – Data Preparation
This is the second in a series of blog posts comparing BigML with other machine learning services. As you may
Machine Learning Throwdown, Part 1 – Introduction
Hi, I’m Nick the intern. The fine folks at BigML brought me on board for the summer to drink their
BigML Workshop in Barcelona – July 17th 2012
On July 17th, 2012 BigML will host a free workshop at the IIIA-CSIC in Barcelona. Join us to get to
Machine Learning on Rails with Ruby!
One of the primary goals of BigML is to provide scalable, high performance machine learning services as a plug and
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