Machine Learning Flashcards
What are the main uses of AWS Rekognition?
Locating persons, objects, texts and scenes in images or videos.
Rekognition can use facial analysis and facial search to do people counting and user verification. What are the 2 types of face Rekognition can detect?
Rekognition can detect either a specific face from a catalog of faces or compare faces to famous celebrities.
How could AWS Rekognition be used to help with content moderation?
It can be used to detect innapropriate images or videos. Those can then be removed or flagged for manual review.
True or false: The Confidence Threshold for items to be flagged on moderation cases for Rekognition can be manually configured
True
What is the main use of AWS Transcribe?
Converting audio to text
How can Transcribe deal with confidential information on the audio being transcribed?
Transcribe can automatically remove Personally Identified Information using Redaction, but any other kind of confidential information will still pass through
What is the main use of AWS Polly?
Converting text to audio
True or False: You can customize Polly pronounciation by configuring custom lexicons in the SynthesizeSpeech operation
True
What is the main use of AWS Translate?
Translating text between languages
What is the main use of AWS Lex?
Creating chatbots, specially voice operated ones
What is the main use of Amazon Connect?
To setup a virtual call center
True or False: A common way to implement a call chatbot is to use Amazon Connect to Stream the call to Amazon Lex
True
What is the main use of Amazon Comprehend?
NLP analysis in general
What are some examples of Amazon Comprehend capabilities?
-Sentiment Detection
-Entity Identification
-Text Analysis
What is Amazon Comprehend Medical and how is it different from regular Comprehend?
It is a comprehend tuned to medical data and documents, being more performant on them and being able to detect Protected Health Information (PHI) (DetectPHI API)
