So you want to predict the Super Bowl?
One of the great things about sports these days are the number of bright minds taking fresh looks at sports
Category: Ensembles
Putting IPO Predictions through the Machine Learning Test
If you haven’t been in a cave for the past several weeks, you may have heard that Twitter has announced
The Seven Magic Numbers
BigML uses decision trees to find patterns in data that are useful for prediction, and an “ensemble” of multiple trees
Predicting Kiva Loan Defaults
Peer to peer lending has become more popular recently, with services like Kickstarter and Indiegogo serving as de facto investment
You Don’t Need Coursera to Get Started with Machine Learning
Since I currently work at a Machine Learning company, it may surprise some to find out that I am currently
Three key steps on the Machine Learning stairway from the command line to the Cloud
Last time we talked about BigMLer, we saw that the list of BigML resources manageable from the command line included
1-click Random Decision Forests
One of the pitfalls of machine learning is that creating a single predictive model has the potential to overfit your data.
The Three Cardinal Virtues of Ensemble Learning
Ensemble algorithms. Why do they work? It seems like kind of a crazy idea: Let’s take our original learning problem,
Bedtime For Boosting
We here at BigML are big fans of ensemble algorithms (and Ronald Reagan movies). Using them, a simple model like
Fly your ML-Cloud like a kite with BigMLer: the command-line tool for Machine Learning
A month ago we presented BigMLer, an open-source command line tool that enables the creation of BigML datasets, models and predictions
The Official Blog of BigML.com 