Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
Generic industry data models do have a place, but they serve as a kick-start to the modeling process, not the destination. Consider an address; organizations may break address components apart in ...
This article explains how to programmatically normalize numeric data for use in a machine learning (ML) system such as a deep neural network classifier or clustering algorithm. Suppose you are trying ...
eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
Organizations often force the DBA to take on the job of data modeling. That does not mean that DBAs are well-trained in data modeling, nor does it mean that DBAs are best suited to take on this task.
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