Remove Data Collection Remove Insurance Remove Predictive Modeling Remove Testing
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The most valuable AI use cases for business

IBM Big Data Hub

Banks and other lenders can use ML classification algorithms and predictive models to suggest loan decisions. Many stock market transactions use ML with decades of stock market data to forecast trends and ultimately suggest whether and when to buy or sell.

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CIO 100 Award winners prove the transformative value of IT

CIO Business Intelligence

In partnership with OpenAI and Microsoft, CarMax worked to develop, test, and iterate GPT-3 natural language models aimed at achieving those results. The CarMax team also gathered, scrubbed and formatted data from thousands of vehicles to feed into the models, fine-tuning them as the project advanced.

IT 89
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Manual Feature Engineering

Domino Data Lab

Real-world datasets can be missing values due to the difficulty of collecting complete datasets and because of errors in the data collection process. The problem is that a new unique identifier of a test example won’t be anywhere in the tree. We proceed as usual and see what happens with our training and testing errors.

Testing 68
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Explaining black-box models using attribute importance, PDPs, and LIME

Domino Data Lab

This is because in this post we are not after a state-of-the-art classifier, but want to rather focus on the interpretation of the black-box model fitted against the sample dataset. After forming the X and y variables, we split the data into training and test sets. PDPs for the bicycle count prediction model (Molnar, 2009).

Modeling 139