Democratizing Machine Learning One Step at a Time
At BigML we are working hard to make machine learning easy and accessible. We are happy to see a growing
Category: Product
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
Get your training and test sets in just one click
Testing or evaluating a predictive model involves using the model to generate predictions for a test set and then computing a
A SunBurst of Insight
This is a guest post by David Gerster (@gerster), a data scientist and investor in BigML. I work at a consumer
Alternative Keys: Fine-grained, REST API Access to Your Machine Learning Resources
Accessing BigML via our REST API is easy, requiring only a username and an API Key. Every account registered with
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.
A New Way to Visualize Decision Trees
If you’ve built decision trees with BigML or explored our gallery, then you should be familiar with our tree visualizations.
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,
Democratizing Machine Learning With C#
This is a guest post by Erik Meijer (@headinthebox). He is an accomplished programming-language designer who runs the Cloud Programmability Team at Microsoft and a
A Shiny New Toy in our Sandbox
If you are a meticulous developer or you are learning the basics of machine learning, you are going to love
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