‫Now let's talk about
‫the machine learning services on AWS,
‫and you have to remember them all going into the exam.
‫So, recognition is a way for you to do face detections,
‫to do labeling, and celebrity recognition.
‫Transcribe is for you to get,
‫a way to get subtitles.
‫For example, to convert your audio into text.
‫Whereas Polly is the opposite.
‫It allows you to get,
‫to use your text and create audio out of it.
‫Translate is for you to get translations.
‫Lex is to build conversational robots or chatbots.
‫And if you bundle it with Connect,
‫then you can create a cloud contact center.
‫Comprehend is a way for you
‫to do natural language processing.
‫SageMaker is a fully featured machine learning service
‫that is accessible to developer and data scientist.
‫Forecast allows you to build highly accurate forecast.
‫Kendra is going to be an ML-powered document search engine.
‫Personalize is used for real-time
‫personalized recommendations for your customers.
‫And Textract is used to detect text and data,
‫and extract them from various documents.
‫So, hopefully you can remember this whole list.
‫This will get you a few points on the exam.
‫I hope you like this lecture,
‫and I will see you in the next lecture.