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Machine Learning is having a major impact in our society, but how can we simplify the build, train, and deploy process for all developers and data scientists? This session demonstrates how cloud-based machine learning frameworks can help turn your data into intelligence. We introduce the general machine learning process and suite of AWS services (Comprehend, Rekognition, Polly, Lex and Transcribe) which reduces the undifferentiated heavy lifting for customers to deploy machine learning solutions. We will also be covering a demo of Amazon SageMaker with a computer vision demo.

– Jason Hunter, Enterprise Solutions Architect, Amazon Web Services



spi_vs_spi says:

Great explanation and real world examples

Kester Belgrove says:

That's a really nice line up of support

Emanuele Cannizzaro says:

please add the additional learning material mentioned at the end of the video here…

Subashini Bala Dsilva says:

Pretty impressive info. By the way, (for eg: In Sophia Robot) which services processes the language and its rules and then decides what to respond to . I am looking for info on how to automate rules based decision

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