AWS Machine Learning Blog
Tag: HAQM SageMaker
Now available in HAQM SageMaker: DeepAR algorithm for more accurate time series forecasting
Today we are launching HAQM SageMaker DeepAR as the latest built-in algorithm for HAQM SageMaker. DeepAR is a supervised learning algorithm for time series forecasting that uses recurrent neural networks (RNN) to produce both point and probabilistic forecasts. We’re excited to give developers access to this scalable, highly accurate forecasting algorithm that drives mission-critical decisions within HAQM. Just as […]
Build HAQM SageMaker notebooks backed by Spark in HAQM EMR
This blog post was last reviewed August, 2022. Introduced at AWS re:Invent in 2017, HAQM SageMaker provides a fully managed service for data science and machine learning workflows. One of the important parts of HAQM SageMaker is the powerful Jupyter notebook interface, which can be used to build models. You can enhance the HAQM SageMaker […]