AWS re:Invent 2018: Integrate Amazon SageMaker with Apache Spark, ft. Moody's (AIM403-R1)
Published on Nov 30, 2018
Amazon SageMaker, our fully managed machine learning platform, comes with pre-built algorithms and popular deep learning frameworks. Amazon SageMaker also includes an Apache Spark library that you can use to easily train models from your Spark clusters. In this code-level session, we show you how to integrate your Apache Spark application with Amazon SageMaker. We also dive deep into starting training jobs from Spark, integrating training jobs in Spark pipelines, and more. Complete Title: AWS re:Invent 2018: [REPEAT 1] Integrate Amazon SageMaker with Apache Spark, ft. Moody's (AIM403-R1)
58:50
AWS re:Invent 2018: How Peak.AI Uses Amazon SageMaker for Product Personalization (GPSTEC316)
58:50
1:03:26
AWS re:Invent 2018: Integrate Amazon SageMaker with Apache Spark, ft. Moody's (AIM403-R1)
1:03:26
51:17
AWS re:Invent 2018: ML Workflows with Amazon SageMaker and AWS Step Functions (API325)
51:17