The Complete Guide to Data Acquisition For Machine Learning2 The Complete Guide to Data Acquisition For Machine Learning Data Acquisition For Machine Learning 1 Step one: Hypothesizing 2 Step two: Generating a list of potential data providers 3-4 Step three: Data provider due diligence 5 Step four: Data provider tests 6 Step five: Calculate ROI 7 Step six: Integration and production 8 New data source: Acquired! 9 Glossary3 The Complete Guide to Data Acquisition For Machine Learning Data Acquisition For Machine Learning Finding a new data source that actually improves your model’s accuracy and performance can feel like finding the tiniest needle in the largest haystack. While algorithm improvement has diminishing returns, finding better data and thus better features (the tiny needle) ha

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