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Automate external data discovery and enrichment for more accurate predictive models.
As a data scientist, you’re hired with the expectation of revolutionizing an organization’s analytics and workflows, but once on board, you may find yourself left out of the important strategy conversations. You may find that despite your ideas and efforts, you’re often being ignored.
How can you earn yourself a seat at the table when decisions are being made? It starts with making yourself accessible and invaluable. By being your own team’s champion and demonstrating your potential impact, you can become a key part of your organization’s strategy discussions.
This whitepaper discusses:
Automate external data discovery and enrichment for more accurate predictive models.
It's time to take feature generation - a subset of feature engineering - from an art to a science by opening up additional data sources to achieve breakthroughs in predictive models.
This complete guide breaks down data acquisition into six steps, including data provider due diligence and data provider tests to uplift your model's accuracy.
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