Over the decades developing of computer science, the dataset of computer grown from simple numbers in mathematical questions to the music, video, documents files which count billion times bigger. Which more is, for example, the dataset of users in a hospital, insurance records for a company, versions of code in our repository. The data growing in an exponential way. Traditional tools are hard to store, manage, process nor analyze. The born of Windows Azure, a cloud computing platform, is one good solution to address this problem. It is a model for enabling ubiquitous, ondemand access to a shared pool of configurable computing resources, which can be rapidly provisioned and released with minimal management effort. We want to try using Windows Azure platform to do some hands on big data project. And the bug prediction is a good choice in this case.
msinghal2/Big-Data-systems-and-Analytics
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Bug Prediction in Microsoft Azure Machine Learning
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