Unlocking the Power of Better Data Science Workflows
Smart Data Collective
MARCH 13, 2020
Phase 4: Knowledge Discovery. Algorithms can also be tested to come up with ideal outcomes and possibilities. When these two elements are in harmony, there are fewer delays and less risk of data corruption. Finally, models are developed to explain the data. Make the Workflow Obvious and Apparent to Others.
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