From the course: Certified Analytics Professional (CAP) Cert Prep
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Maintaining the model
From the course: Certified Analytics Professional (CAP) Cert Prep
Maintaining the model
- [Instructor] Maintenance focuses on preventing decay in model performance, but it may not be enough. Sometimes it's necessary to take more drastic measures such as replacement and retirement. A new technology may come out and make the existing model obsolete. There could also be fundamental changes in your business making the current model irrelevant altogether. While these possibilities are real, what's more common is the lack of buy-in, which can also lead to premature model replacement and retirement. Therefore, promoting the benefits of your model and providing the necessary training are also essential parts of model maintenance. There is always a chance that end users simply ignore a newly delivered analytics model due to its complexity and the amount of learning involved. This is why you should follow up after deploying a model by interviewing your stakeholders. An important question to ask is whether they regularly…
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Contents
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(Locked)
Understanding model lifecycle management3m 2s
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(Locked)
Tracking model quality2m 5s
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Recalibrating the model through validation2m 13s
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Maintaining the model2m 18s
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Supporting training activities2m 10s
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Evaluating the business benefit of the model over time2m 10s
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(Locked)
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