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Now let's talk about

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the machine learning services on AWS,

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and you have to remember them all going into the exam.

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So, recognition is a way for you to do face detections,

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to do labeling, and celebrity recognition.

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Transcribe is for you to get,

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a way to get subtitles.

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For example, to convert your audio into text.

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Whereas Polly is the opposite.

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It allows you to get,

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to use your text and create audio out of it.

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Translate is for you to get translations.

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Lex is to build conversational robots or chatbots.

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And if you bundle it with Connect,

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then you can create a cloud contact center.

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Comprehend is a way for you

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to do natural language processing.

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SageMaker is a fully featured machine learning service

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that is accessible to developer and data scientist.

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Forecast allows you to build highly accurate forecast.

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Kendra is going to be an ML-powered document search engine.

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Personalize is used for real-time

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personalized recommendations for your customers.

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And Textract is used to detect text and data,

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and extract them from various documents.

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So, hopefully you can remember this whole list.

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This will get you a few points on the exam.

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I hope you like this lecture,

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and I will see you in the next lecture.