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Data Management in Machine Learning by 簡維萱 is a document available to read on EtoBox.
What is Data Management in Machine Learning about?
The document discusses the challenges associated with managing data in production machine learning systems, emphasizing the importance of data quality throughout the machine learning lifecycle. It identifies three main areas of concern: data understanding, validation and cleaning, and preparation, while highlighting the consequences of data errors on model accuracy. The authors draw from their experience at Google to outline existing literature and open research problems in this domain, aiming to inform dat
- Author
- 簡維萱
- Language
- EN