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Vocabulary flashcards covering the core concepts, capabilities, and use cases of AWS Machine Learning services including Rekognition, Transcribe, Polly, Translate, Lex, Connect, Comprehend, SageMaker, Kendra, Personalize, and Textract.
Amazon Rekognition
An AWS machine learning service that finds objects, people, text, and scenes in images and videos, and provides facial analysis, face search, and celebrity recognition.
Pathing (Amazon Rekognition)
A capability of Amazon Rekognition used to track movements across video frames, such as for sports game analysis.
Amazon Transcribe
An AWS service that automatically converts speech to text using a deep learning process called Automatic Speech Recognition (ASR).
Redaction (Amazon Transcribe)
A feature in Amazon Transcribe that automatically detects and removes Personally Identifiable Information (PII) from transcriptions.
Automatic Speech Recognition (ASR)
A deep learning process utilized by services like Amazon Transcribe and Amazon Lex to convert spoken language into text accurately and quickly.
Amazon Polly
An AWS service that uses deep learning to convert written text into lifelike speech, allowing developers to build applications that talk.
Amazon Translate
A service providing natural and accurate language translation to localize content for international users and translate large volumes of text efficiently.
Amazon Lex
An AWS service that uses Automatic Speech Recognition (ASR) and Natural Language Understanding (NLU) to recognize caller intent and build conversational chatbots, using the same technology that powers Alexa.
Amazon Connect
A cloud-based virtual contact center service used to receive calls and create contact flows, costing 80% less than traditional contact center solutions with no upfront payments.
Amazon Comprehend
A fully managed and serverless Natural Language Processing (NLP) service that extracts insights, sentiment, key phrases, entities, and topics from text.
Amazon SageMaker AI
A fully managed service designed for developers and data scientists to build, train, tune, and deploy machine learning models in a single integrated environment.
Amazon Kendra
An ML-powered document search engine that enables natural language search to extract direct answers from within unstructured documents like PDFs, Office files, and FAQs.
Incremental Learning (Amazon Kendra)
The ability of Amazon Kendra to dynamically learn from user interactions and feedback to promote preferred search results over time.
Amazon Personalize
A fully managed service based on Amazon.com technology that creates real-time personalized recommendations, item re-ranking, and customized marketing.
Amazon Textract
An AI and ML service that automatically extracts text, handwriting, and structured data from tables and forms across scanned documents.