AWS Summit Tel Aviv 2016: Amazon Machine Learning Case Study: Predicting Customer Churn
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2 дня – 4304:33
Опубликовано 14 июля 2016, 15:41
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Session Language: English
We do a deeper dive into Amazon Machine Learning, using a specific business problem as an example – predicting if the customer is about to leave your service, also known as customer churn. We examine several practical aspects of building and using a model, including the use of the recipe language for training data manipulation and modeling the costs of false positive/negative errors.
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Session Language: English
We do a deeper dive into Amazon Machine Learning, using a specific business problem as an example – predicting if the customer is about to leave your service, also known as customer churn. We examine several practical aspects of building and using a model, including the use of the recipe language for training data manipulation and modeling the costs of false positive/negative errors.
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