Titlebook: Data Management in Machine Learning Systems; Matthias Boehm,Arun Kumar,Jun Yang Book 2019 Springer Nature Switzerland AG 2019

Essential

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宏伟

Data Management in Machine Learning Systems978-3-031-01869-5Series ISSN 2153-5418 Series E-ISSN 2153-5426

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毛细血管

ML Through Database Queries and UDFs,nal model and query language seem to be a poor fit with ML, as most ML algorithms look very different from and oftentimes far more complicated than database queries. Thus, database systems have traditionally served as a data store for ML; the ML algorithm would pull the data out from the database, t

脱落

Multi-Table ML and Deep Systems Integration,search expanded such integration along various dimensions. The first set focuses on making ML algorithm implementations more aware of the underlying data model of RDBMSs: the multi-table relational model. The second set focuses on deeper systems modifications to RDBMSs that are tailored toward ML wo

Outmoded