AWS Summit Anaheim 2018 - Working with ML in Amazon SageMaker (BDA203)
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06.09.18 – 2 8301:47:35Популярные
Опубликовано 6 сентября 2018, 15:59
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Organizations are using machine learning (ML) to address a host of business challenges, from product recommendations to demand forecasting. Until recently, developing these ML models took much time and effort, and it required expertise. In this session, we discuss and dive deep into Amazon SageMaker, a fully managed ML service that enables developers and data scientists to develop and deploy deep learning models quickly and easily. We walk through the features and benefits of Amazon SageMaker so you can get your ML models from concept to production.
Organizations are using machine learning (ML) to address a host of business challenges, from product recommendations to demand forecasting. Until recently, developing these ML models took much time and effort, and it required expertise. In this session, we discuss and dive deep into Amazon SageMaker, a fully managed ML service that enables developers and data scientists to develop and deploy deep learning models quickly and easily. We walk through the features and benefits of Amazon SageMaker so you can get your ML models from concept to production.
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