Machine Learning Flashcards
What is Amazon Rekognition?
Find objects, people, text, scenes in images and videos using ML. Facial analysis and facial search to do user verification, people counting
What is Amazon Transcribe?
Automatically convert speech into text. Uses a deep learning process called automatic speech recognition (ASR) to convert speech to text quickly and accurately
What is Amazon Polly?
Turning text into lifelike speech using deep learning
What is Amazon Translate?
Natural and accurate language translation
What is Amazon Lex?
Same technology that powers Alexa. Automated Speech Recognition to convert speech to text. Natural Language Understanding to recognize the intent of text, callers. Helps build chatbots and call center bots
What is Amazon Connect?
Receive calls, create contact flows, cloud-based virtual contact center. No upfront payments and 80% cheaper than traditional contact center solutions
What is Amazon Comprehend?
For Natural Language Processing - NLP
To understand meaning/relationships of text
What is Amazon SageMaker?
Fully managed service for developers / data scientists to build ML models
What is Amazon Forecast?
Fully managed service that uses ML to deliver highly accurate forecasts
What is Amazon Kendra?
A fully managed document search service powered by Machine Learning. Extract answers from within a document
What is Amazon Personalize?
Fully managed ML service to build apps with real-time personalized recommendations
You should use Amazon Transcribe to turn text into lifelike speech using deep learning
- True
- False
False
A company would like to implement a chatbot that will convert speech to text and recognize the customers intentions. What service should it use?
- Transcribe
- Rekognition
- Connect
- Lex
Lex
You would like to find objects, people, text, or scenes in images and videos. What AWS service should you use?
- Rekognition
- Polly
- Transcribe
- Lex
Rekognition
A research team would like to group articles by topics using Natural Language Processing (NLP). Which service should they use?
- Translate
- Comprehend
- Lex
- Rekognition
Comprehend