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I'm a Data Scientist - Build NLP Models with Amazon SageMaker (Level 300)

Published on Sep 01, 2020

In this session, learn how to build natural language processing (NLP) models using popular frameworks, such as TensorFlow, PyTorch, and Apache MXNet, with Amazon SageMaker—a service for building, training, and deploying machine learning models at any scale. We introduce you to the BERT family of models, and we show you how to implement them with Amazon SageMaker. Antje is a Developer Advocate for AI and Machine Learning at AWS. She is also co-founder of the Düsseldorf chapter of Women in Big Data. Antje frequently speaks at AI and Machine Learning conferences, online events and meetups around the world. Besides AI/ML, Antje is passionate about helping developers leverage Big Data, container and Kubernetes platforms in the context of AI and Machine Learning. Prior to joining AWS, Antje worked in technical evangelist and solutions engineering roles at MapR and Cisco. Learn more about AWS at - https://amzn.to/32i1V9e Subscribe: More AWS videos http://bit.ly/2O3zS75 More AWS events videos http://bit.ly/316g9t4 #AWS #AWSSummit #AWSEvents

I'm a Data Scientist - Build NLP Models with Amazon SageMaker (Level 300)

2020

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I'm a Data Scientist - Build NLP Models with Amazon SageMaker (Level 300)

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