Practical Synthetic Data Generation by Richard Hoptroff & Lucy Mosquera & Khaled El Emam

Author:Richard Hoptroff & Lucy Mosquera & Khaled El Emam [Richard Hoptroff]
Language: eng
Format: epub
Publisher: O'Reilly Media, Inc.
Published: 2020-07-24T16:00:00+00:00

The Data Synthesis Pipeline

Understanding the dataflows that are bringing in data to the data analysts for their AIML projects is important to decide where data preparation and data synthesis should be implemented in that data flow. It is easiest to explain this through a few examples. All of these examples represent actual situations that we have seen in a variety of industries (such as healthcare and financial services).

One relatively noncomplex setting is where there is a single production dataset or a single data source. In that case the data flows are simple as illustrated in Figure 2-2. The analysts receiving the synthetic data can then work on that data internally or share it with external parties.

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