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Your company wants you to build an internal email text prediction model to speed up the time that employees spend writing emails. What should you do?

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Your organization allows people to create online professional profiles. A key feature is the ability to create clusters of people who are professionally connected to one another. What type of machine learning method is used to create these clusters?

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Random forest is modified and improved version of which earlier technique?

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Self-organizing maps are specialized neural network for which type of machine learning?

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Which statement about K-means clustering is true?

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You created machine learning system that interacts with its environment and responds to errors and rewards. What type of machine learning system is it?

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Your data science team must build a binary classifier, and the number one criterion is the fastest possible scoring at deployment. It may even be deployed in real time. Which technique will produce a model that will likely be fastest for the deployment team use to new cases?

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our data science team wants to use the K-nearest neighbor classification algorithm. Someone on your team wants to use a K of 25. What are the challenges of this approach?

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Your machine learning system is attempting to describe a hidden structure from unlabeled data. How would you describe this machine learning method?

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You work for a large credit card processing company that wants to create targeted promotions for its customers. The data science team created a machine learning system that groups together customers who made similar purchases, and divides those customers based on customer loyalty. How would you describe this machine learning approach?

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