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Machine Learning Throwdown: The Reckoning
As you, our faithful readers know, we compared some machine learning services several months ago in our machine learning throwdown. In another recent blog post, we talked about the power of...
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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, create a bunch of new problems that aren’t quite the same but very related, and...
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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. That is, the performance on your training data might be very good, but the...
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The Seven Magic Numbers
BigML uses decision trees to find patterns in data that are useful for prediction, and an “ensemble” of multiple trees is a great way to improve these predictions. The process for creating an ensemble...
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