SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle.
Matthias BoehmIulian AntonovSebastian BaunsgaardMark DokterRobert GinthörKevin InnerebnerFlorijan KlezinStefanie N. LindstaedtArnab PhaniBenjamin RathBerthold ReinwaldShafaq SiddiquiSebastian Benjamin WredePublished in: CIDR (2020)
Keyphrases
- end to end
- data science
- machine learning
- statistical learning
- big data
- knowledge representation
- ad hoc networks
- congestion control
- admission control
- wireless ad hoc networks
- high bandwidth
- database
- decision trees
- supervised learning
- transport layer
- data processing
- internet protocol
- rate allocation
- active learning
- reinforcement learning
- application layer
- cloud computing
- semi supervised learning
- model selection
- natural language processing
- knowledge discovery
- social media
- data analysis
- data mining