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Machine Learning is Software 2.0. What does it mean to develop software in this new paradigm? What new challenges (and opportunities) does this present? This newsletter brings together the best articles, news and papers about these topics.

This newsletter is curated by Nihit Desai and Rishabh Bhargava. If you have suggestions for what we should be covering in this newsletter, tweet or DM us @mlopsroundup

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Why is machine learning in the real world hard and how do you make it better? This newsletter brings together the best articles, news, and papers highlighting the challenges and opportunities in MLOps

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Why is ML in the real world difficult? This newsletter brings together the best articles, news and papers. By @rish_bhargava and @nihit_desai.
Currently @Facebook. Previously ML @Stanford, @LinkedIn