From the course: Executive Guide to Predictive Modeling Strategy at Scale
Scaling machine learning initiatives
From the course: Executive Guide to Predictive Modeling Strategy at Scale
Scaling machine learning initiatives
- How much data do you need to build a machine learning model? How do data scientists answer this question? If you're in analytics management, it's an important question because you need to make crucial decisions about resources. Many organizations marshal resources sufficient to build models on every bit of data they've got, but that scenario of needing all the data is vanishingly rare. I'm Keith McCormick, and for nearly three decades I've been helping clients build predictive models. In this course, we'll talk about building models and data. How much is just enough? How much is so much that it might pose a challenge? Join me as we explore how to build predictive models at scale.
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