转载自：https://aws.amazon.com/blogs/machine-learning/now-easily-perform-incremental-learning-on-amazon-sagemaker/

Guru Swaminathan
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Data scientists and developers can now easily perform incremental learning on Amazon SageMaker. Incremental learning is a machine learning (ML) technique for extending the knowledge of an existing model by training it further on new data. Starting today both of the Amazon SageMaker built-in visual recognition algorithms – Image Classification and Object Detection – will provide out of the box support for incremental learning. So now you can easily load an existing Amazon SageMaker visual recognition model using the AWS Management Console or Amazon SageMaker Python SDK APIs, prior to starting the model training on new data.

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转载自：https://blog.revolutionanalytics.com/2018/11/working-with-us-census-data-in-r.html

David Smith
发表于

If you need data about the American populace, there’s no source more canonical than the US Census Bureau. The bureau publishes a wide range of public sets, and not just from the main Census conducted every 10 years: there are more than 100 additional surveys and programs published as well. To help R users access this rich source of data, Ari Lamstein and Logan Powell have published A Guide to Working with US Census Data in R, a publication of the R Consortium Census Working Group.

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