When:
July 23 | 11:00 AM - 12:00 PM PT (2:00 PM - 3:00 PM ET)
Level 300 | Service Deep Dive Building MACHINE LEARNING MODELS ON
LARGE AMOUNTS OF DATA IS CHALLENGING AND SO IS APPLYING TRAINED MODELS
ON BIG DATA. By using SPARK, MXNet, TensorFlow, and other frameworks
on EMR, customers can build ML models using distributed training on
LARGE AMOUNTS OF DATA AND PERFORM DISTRIBUTED INFERENCE. In this tech
talk, we dive deep into how to use SPARK AND ML/DL frameworks such as
SPARKML, TensorFlow, and MXNet.
Learning Objectives:
• Learn how Amazon EMR can be used for distributed training and
inference on big data
• Learn how to do distributed training and inference on Amazon EMR
using popular ML/DL frameworks
• Learn how to deploy MACHINE LEARNING MODELS ON AMAZON EMR FOR
LARGE SCALE DISTRIBUTED INFERENCE
Who Should Attend: Anyone interested in Amazon EMR
Speaker(s): Tom Zeng, Amazon EMR Solutions Architect, AWS
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24/07/2018 Last update