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Maximum Margin Code Recommendation

, , and . RecSys '09: Proceedings of the 2009 ACM conference on Recommender systems, (October 2009)

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Machine Learning at Microsoft with ML.NET., , , , , , , , , and 20 other author(s). KDD, page 2448-2458. ACM, (2019)Large-Scale Automatic Audiobook Creation., , , , , , , , , and 1 other author(s). INTERSPEECH, page 3675-3676. ISCA, (2023)Data Science through the looking glass and what we found there., , , , , , , , , and 1 other author(s). CoRR, (2019)Vamsa: Automated Provenance Tracking in Data Science Scripts., , , , , , , and . KDD, page 1542-1551. ACM, (2020)Automating System Configuration of Distributed Machine Learning., , , , , , , , , and 2 other author(s). ICDCS, page 2057-2067. IEEE, (2019)FLAML: A Fast and Lightweight AutoML Library., , , and . MLSys, mlsys.org, (2021)SysML: The New Frontier of Machine Learning Systems., , , , , , , , , and 56 other author(s). CoRR, (2019)Machine Learning at Microsoft with ML .NET., , , , , , , , , and 24 other author(s). CoRR, (2019)Learning To Solve Circuit-SAT: An Unsupervised Differentiable Approach., , and . ICLR (Poster), OpenReview.net, (2019)Demonstration of Geyser: Provenance Extraction and Applications over Data Science Scripts., , , , , , , , , and 1 other author(s). SIGMOD Conference Companion, page 123-126. ACM, (2023)