The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development

22 May 2019Micah J. SmithCarles SalaJames Max KanterKalyan Veeramachaneni

As machine learning is applied more widely, data scientists often struggle to find or create end-to-end machine learning systems for specific tasks. The proliferation of libraries and frameworks and the complexity of the tasks have led to the emergence of "pipeline jungles" - brittle, ad hoc ML systems... (read more)

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