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- W2785550638 abstract "Data Analytics and Machine Learning have become an integral part of everyone's daily life. Most software and intelligent systems use these technologies either to make predictions or to take informed actions. However, Machine Learning and Data Analytics are not easy to make use of for regular users, especially for people who do not belong to the Computer Science domain, as it requires a lot of coding knowledge and expertise in Mathematics. To avoid the steep learning curve, the implementation proposes using Analytics as a Service. Though this has been implemented before by industry stalwarts such as Microsoft, Amazon and Google, these services are still very complex to use. They are paid services and require prior Machine Learning knowledge. The Service is relatively easy to use, and requires no prior knowledge of Machine Learning or Data Analytics. The user has to upload a dataset and choose the variable that has to be predicted, the system builds a model and provide it as a ReST based API, which can be called from any device or software that is connected to the internet. This paper is mainly aimed at aiding students and staff in integrating Machine Learning based intelligence into their software and devices, and in performing Data Analytics." @default.
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- W2785550638 date "2017-06-01" @default.
- W2785550638 modified "2023-09-26" @default.
- W2785550638 title "Analytics as a service for beginners" @default.
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- W2785550638 doi "https://doi.org/10.1109/iccids.2017.8272659" @default.
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