Deep Learning Frameworks on CDH and Cloudera Data Science Workbench

The emergence of "Big Data" has made machine learning much easier because the key burden of statistical estimation—generalizing well to new data after observing only a small amount of data—has been considerably lightened. In a typical machine learning task, the goal is to design the features to separate the factors of variation that explain the observed data. However, a major source of difficulty in many real-world artificial intelligence applications is that many of the factors of variation influence every single piece of data we can observe. Read more The post Deep Learning Frameworks on CDH and Cloudera Data Science Workbench appeared first on Cloudera Engineering Blog.

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This article is related to

CDH,Data Science,Hadoop,Cloudera Data Science Workbench,Deep Learning