Remove Predictive Modeling Remove ROI Remove Testing Remove Uncertainty
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How to Set AI Goals

O'Reilly on Data

Customer stakeholders are the people and companies that advertise on the platform, and are most concerned with ROI on their ad spend. Technical competence results in reduced risk and uncertainty. Outputs from trained AI models include numbers (continuous or discrete), categories or classes (e.g.,

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Humans-in-the-loop forecasting: integrating data science and business planning

The Unofficial Google Data Science Blog

This classification is based on the purpose, horizon, update frequency and uncertainty of the forecast. The ROI of human involvement When it comes to human involvement, the key difference is in the magnitude of costs associated with any one forecast cycle. This defines the ROI on the investment of human time.

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Predicting Movie Profitability and Risk at the Pre-production Phase

Insight

I held out 20% of this as a test set and used the remainder for training and validation. Feature Selection and Engineering Most of the inputs to my model were taken either as is from the data source, or with minimal processing. The ROI is simply the fraction of the budget that the movie makes back at the box office (i.e.,

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