Official Google Research Blog: Lessons learned developing a practical large scale machine learning systemI can think of several reasons why they named it Seti. For one, HAL was taken.... Several years ago we began developing a large scale machine learning system, and have been refining it over time. We gave it the codename “Seti” because it searches for signals in a large space. It scales to massive data sets and has become one of the most broadly used classification systems at Google.
After building a few initial prototypes, we quickly settled on a system with the following properties:
Binary classification (produces a probability estimate of the class label)
Parallelized
Scales to process hundreds of billions of instances and beyond
Scales to billions of features and beyond
Automatically identifies useful combinations of features
Accuracy is competitive with state-of-the-art classifiers
Reacts to new data within minutes...
Wednesday, April 07, 2010
Google's machine learning system
Classifiers are a classic component of traditional AI systems ....
No comments:
Post a Comment