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Eight years of AutoML: categorisation, review and trends
Abstract Knowledge extraction through machine learning techniques has been successfully
applied in a large number of application domains. However, apart from the required …
applied in a large number of application domains. However, apart from the required …
Building a platform for machine learning operations from open source frameworks
Y Liu, Z Ling, B Huo, B Wang, T Chen, E Mouine - IFAC-PapersOnLine, 2020 - Elsevier
Abstract Machine Learning Operations (MLOps) aim to establish a set of practices that put
tools, pipelines, and processes to build fast time-to-value machine learning development …
tools, pipelines, and processes to build fast time-to-value machine learning development …
Efficient machine learning model for movie recommender systems using multi-cloud environment
K Indira, MK Kavithadevi - Mobile Networks and Applications, 2019 - Springer
A recommender system or a recommendation system is a subclass of information filtering
system which in turn predicts the “preference” or “ratings” which a user would provide to the …
system which in turn predicts the “preference” or “ratings” which a user would provide to the …
Artificial Intelligence in Mid-Sized Companies and the Problems with Resources and Implementation
MW Chappell - 2020 - search.proquest.com
Mid-sized companies require capabilities and new technologies that may be out of their
reach in the way of pricing and talent acquisition. Artificial Intelligence (AI) is one such …
reach in the way of pricing and talent acquisition. Artificial Intelligence (AI) is one such …