Systems for ML
Workshop on Systems for ML and Open Source Software at NeurIPS 2018 Deequ - Data Quality Validation for Machine Learning Pipelines: Sebastian Schelter (Apache Software Foundation); Tammo Rukat (Amazon Research); Dustin Lange (Amazon, USA); Philipp Schmidt (Amazon Research) BlueConnect: Novel Hierarchical All-Reduce on Multi-tired Network for Deep Learning: Minsik Cho (IBM Research); Ulrich Finkler
Systems for ML
Workshop on Systems for ML and Open Source Software at NeurIPS 2018 Workshop on Systems for ML A new area is emerging at the intersection of artificial intelligence, machine learning, and systems design. This birth is driven by the explosive growth of diverse applications of ML in production, the continued growth in data volume, and the complexity of large-scale learning systems. The goal of this
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Ecri Jonas et al.「Occupy the Cloud: Distributed Computing for the 99%」 - データが主食
Occupy the Cloud: Distributed Computing for the 99%
ML Systems
http://learningsys.org/nips18/assets/papers/101CameraReadySubmissioncirrus_nips_final2.pdf