Looking for a few academic data science papers to study? Here are a few I have found interesting. The are not all from the past 12 months, but I am including them anyhow.

**Cloud Programming Simplified: A Berkeley View on Serverless Computing (2019)**– Serverless computing is very popular nowadays and this article covers some of the limitations.**Playing Atari with Deep Reinforcement Learning (2013)**– A bit older, but a classic in the reinforcement learning literature**Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning (2018)**– title sums it up**Borg, Omega, and Kubernetes (2016)**– Kubernetes is widely used and this is one of the early papers**Integer Multiplication in O(n log n) (2019)**– Not entirely data science, but important for computation**Machine Learning at Microsoft with ML.Net (2019)**– An intro to ML.Net which is a framework for easily shipping machine learning models in large software applications.

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