Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
The Quant’s Dilemma: Subjectivity In Predictive AI’s Value
 Originally published in Forbes, September 30, 2024 This is the...
To Deploy Predictive AI, You Must Navigate These Tradeoffs
 Originally published in Forbes, August 27, 2024 This is the...
Data Analytics in Higher Education
 Universities confront many of the same marketing challenges as...
How Generative AI Helps Predictive AI
 Originally published in Forbes, August 21, 2024 This is the...
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4 years ago
Overcoming the Explainability Challenges of Machine Learning Models

 Some History Machine Learning Models, which have historically been referred to as predictive models, are not new. Any early practitioner in this field would emphasize that the two key deliverables of any model are as follows: its benefits to the business or organization Model Explainability (i.e. what is inside the model) The model benefits are essentially about optimizing ROI where the challenge might be to identify those key metrics that impact ROI.  For a marketing campaign, the use of the model helps the marketer to better allocate his or her budget towards those individuals who are more likely

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