Machine Learning Flashcards

1
Q

Amazon Rekognition

A

• Find objects, people, text, scenes in images and videos using ML

• Facial analysis and facial search to do user
verification, people counting

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2
Q

Amazon Transcribe

A

Uses a deep learning process called automatic speech recognition
(ASR) to convert speech to text quickly and accurately

• Automatically convert speech to text

Use case:
• Transcribe customer service calls

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3
Q

Amazon Polly

A

• Turn text into lifelike speech using deep learning

• Allowing you to create applications that talk

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4
Q

Amazon Translate

A

Allows you to localize content - such as websites and applications - for international users, and to easily translate large volumes of text efficiently.

• Natural and accurate language translation.

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5
Q

Amazon Lex (same technology that powers Alexa)

A

• Automatic Speech Recognition (ASR) to convert speech to text
• Natural Language Understanding to recognize the intent of text, callers
• Helps build chatbots, call center bots

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6
Q

Amazon Connect

A

• Is an omnichannel cloud contact center.
• Receive calls, create contact flows, cloud-based virtual contact center
• You can create personalized experiences for your customers
• No upfront payments, 80% cheaper than traditional contact center solutions

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7
Q

Amazon Comprehend

A

• Fully managed and serverless service
• For Natural Language Processing – NLP
• Uses machine learning to find insights and relationships in text

Use cases:
• Analyze customer interactions (emails) to find what leads to a positive or negative experience

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8
Q

Amazon SageMaker

A

Fully managed service for developers / data scientists to build ML models

• Machine learning process (simplified): predicting your exam score

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9
Q

Amazon Forecast

A

Fully managed service that uses ML to deliver highly accurate forecasts

• Reduce forecasting time from months to hours
• Use cases: Product Demand Planning, Financial Planning, Resource Planning, …

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10
Q

Amazon Kendra

A

Fully managed document search service powered by ML

• Extract answers from within a document
• Natural language search capabilities
• Ability to manually fine-tune search results
• Learn from user interactions/feedback to promote preferred results (Incremental Learning)

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11
Q

Amazon Personalize

A

Fully managed ML-service to build apps with real-time personalized recommendations

• Example: personalized product recommendations/re-ranking, customized direct marketing

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12
Q

Amazon Textract

A

Automatically extracts text, handwriting, and data from any scanned documents using AI and ML

• Extract data from forms and tables
• Read and process any type of document

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