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AWS Certified Machine Learning Engineer - Associate
A retail analytics team has a tabular dataset of historical daily sales for hundreds of products and needs to predict future sales for a newly launched product using its early sales history. Which SageMaker built-in algorithm is designed for this problem?
Explanation
Based on historical data for a behavior, predict future behavior: predict sales on a new product based on previous sales data. Tabular Use the SageMaker
Use the SageMaker AI DeepAR forecasting algorithm —a supervised learning algorithm for forecasting scalar (one-dimensional) time series using recurrent neural networks (RNN).
Random Cut Forest (RCF) Algorithm —detects anomalous data points within a data set that diverge from otherwise well-structured or patterned data.
An engineer needs to build a model that assigns support documents to one of several predefined subject categories, where each document is labeled during training. According to SageMaker's guidance on problem types, how is this task classified?
Explanation
If your target values are categorical (mathematically discrete), then you have a classification problem .
An example is the prediction of the topic most relevant to a text document. A document may be classified as being about religion, politics, or
The goal in unsupervised learning problems is to discover patterns such as groupings within the data.
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