Storing and Retrieving Machine Learning Models at Scale With Distributed Object Storage
- Posted by Daitan Innovation Team
- On September 6, 2019
- Machine Learning, Object Storage
The need to quickly create, store, and fetch machine learning models at scale is rapidly increasing. Examples of applications include recommender systems that are based on individual customers’ purchasing habits or detection of fraud attempts based on each customer’s past behavior, among many others.
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