AWS Partner Webinar: Random Cut Forest on Amazon SageMaker
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Amazon Web Services775 тыс
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12.08.19 – 3 37944:19Популярные
Опубликовано 12 августа 2019, 17:18
Learn more about Amazon SageMaker Random Cut Forest (RCF) – amzn.to/2Kkmg5X
Amazon SageMaker Random Cut Forest (RCF) is an unsupervised algorithm for detecting anomalous data points within a data set. These are observations which diverge from otherwise well-structured or patterned data. Anomalies can manifest as unexpected spikes in time series data, breaks in periodicity, or unclassifiable data points. In this webinar, Chris Burns from AWS will dive deep into some examples showing you how to best use RCF within Amazon SageMaker.
Amazon SageMaker Random Cut Forest (RCF) is an unsupervised algorithm for detecting anomalous data points within a data set. These are observations which diverge from otherwise well-structured or patterned data. Anomalies can manifest as unexpected spikes in time series data, breaks in periodicity, or unclassifiable data points. In this webinar, Chris Burns from AWS will dive deep into some examples showing you how to best use RCF within Amazon SageMaker.
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