LinkedIn’s Pro-ML Architecture Summarizes Best Practices for Building Machine Learning at Scale

The reference architecture is powering mission critical machine learning workflows within LinkedIn.

Jesus Rodriguez
DataSeries

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Source: https://solutionsreview.com/business-intelligence/machine-learning-linkedin-groups/

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Building machine learning solutions at scale remains an active area of experimentation for most organizations. While many companies are starting their initial machine learning pilots, few have a robust strategy to scale machine learning workflows. This issue is particularly challenging if we consider that, in the current market, machine learning research and development frameworks have evolved disproportionately faster than the corresponding infrastructure runtimes required to scale machine learning programs. With so little guidance…

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Jesus Rodriguez
DataSeries

CEO of IntoTheBlock, President of Faktory, President of NeuralFabric and founder of The Sequence , Lecturer at Columbia University, Wharton, Angel Investor...