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A data scientist needs to identify fraudulent user accounts for a company's ecommerce platform.The company wants the ability to determine if a newly created account is associated with a previously known fraudulent user. The data scientist is using AWS Glue to cleanse the company's application logs during ingestion.Which strategy will allow the data scientist to identify fraudulent accounts?
How do ride-sharing apps like Uber and Lyft use machine learning?
What kind of data does Amazon Forecast require to get started?
A Machine Learning Specialist is implementing a full Bayesian network on a dataset that describes public transit in New York City.One of the random variables is discrete and represents the number of minutes New Yorkers wait for a bus given that the buses cycle every 10 minutes, with a mean of 3 minutes.Which prior probability distribution should the ML Specialist use for this variable?
In what scenario would traditional programming techniques be preferable over ML?
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