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Learn Computer Vision and NLP with AWS ML and Python Boto3


Pure Language processing and Computer Vision are indispensable area in Synthetic Intelligence, NLP that helps machine perceive, interpret, manipulate and reply to human language whereas Computer Vision helps in extraction of knowledge and insights from an photographs and movies.

On this course, you’ll study Pure language processing & Computer Vision and it is utility with the assistance of AWS Comprehend, Translate, Transcribe, Rekognition and Polly.

  • What’s AWS Comprehend ?

    Amazon Comprehend is a natural-language processing (NLP) service that makes use of machine studying to establish the language of the textual content, extract key phrases, locations, individuals, manufacturers, or occasions, perceive sentiment about services or products, and establish the primary subjects from a library of paperwork.

  • What’s AWS Translate ?

    Amazon Translate is a neural machine translation service that permits to translate between a supply language and a goal language .

  • What’s AWS Transcribe ?

    AWS transcribe service that helps so as to add speech to textual content performance into the functions.

  • What’s AWS Polly ?

    Amazon Textract is a machine studying (ML) service that rework textual content into human voice.

  • What’s AWS Rekognition?

    Amazon Rekognition is a service that makes it straightforward so as to add highly effective visible evaluation to your functions. Rekognition Picture allows you to simply construct highly effective functions to go looking, confirm, and arrange thousands and thousands of photographs. Rekognition Video allows you to extract motion-based context from saved or reside stream movies and helps you analyze them.

This course has brief and concise classes in pragmatic type to make you assured over Pure Language processing and Computer Vision. Hope this course enable you to be taught one thing new and take your talent to the subsequent stage.

All one of the best. Preserve Studying and maintain shifting forward.



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