Nguyễn Khánk's Wiki

# Machine Learning

# Amazon Rekognition

  • Find objects, people, text, scenes in images and videos using ML
  • Facial analysis and facial search to do user verification, people counting
  • Create a database of “familiar faces” or compare against celebrities

Use cases:

  • Labeling
  • Content Moderation
  • Text Detection
  • Face Detection and Analysis (gender, age range, emotions…)
  • Face Search and Verification
  • Celebrity Recognition
  • Pathing (ex: for sports game analysis)

# Content Moderation

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  • Detect content that is inappropriate, unwanted, or offensive (image and videos)
  • Used in social media, broadcast media, advertising, and e-commerce situations to create a safer user experience
  • Set a Minimum Confidence Threshold for items that will be flagged
  • Flag sensitive content for manual review in Amazon Augmented AI (A2I)
  • Help comply with regulations

# Amazon Transcribe

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  • Automatically convert speech to text
  • Uses a deep learning process called automatic speech recognition (ASR) to convert speech to text quickly and accurately
  • Automatically remove Personally Identifiable Information (PII) using Redaction
  • Supports Automatic Language Identification for multi-lingual audio

Use cases:

  • transcribe customer service calls
  • automate closed captioning and subtitling
  • generate metadata for media assets to create a fully searchable arch

# Amazon Polly

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  • Turn text into lifelike speech using deep learning
  • Allowing you to create applications that talk

# Lexicon & SSML

  • Customize the pronunciation of words with Pronunciation lexicons
    • Stylized words: St3ph4ne => “Stephane”
    • Acronyms: AWS => “Amazon Web Services”
  • Upload the lexicons and use them in the SynthesizeSpeech operation
  • Generate speech from plain text or from documents marked up with Speech Synthesis Markup Language (SSML) – enables more customization
    • emphasizing specific words or phrases
    • using phonetic pronunciation
    • including breathing sounds, whispering
    • using the Newscaster speaking style

# Amazon Translate

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  • Natural and accurate language translation
  • Amazon Translate allows you to localize content - such as websites and applications - for international users, and to easily translate large volumes of text efficiently

# Amazon Lex & Connect

Amazon Lex: (same technology that powers Alexa)

  • 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

Amazon Connect:

  • Receive calls, create contact flows, cloud-based virtual contact center
  • Can integrate with other CRM systems or AWS
  • No upfront payments, 80% cheaper than traditional contact center solutions

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# Amazon Textract

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  • 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 (PDFs, images, …)

Use cases:

  • Financial Services (e.g., invoices, financial reports)
  • Healthcare (e.g., medical records, insurance claims)
  • Public Sector (e.g., tax forms, ID documents, passports)

# Amazon Comprehend

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  • For Natural Language Processing – NLP
  • Fully managed and serverless service
  • Uses machine learning to find insights and relationships in text
    • Language of the text
    • Extracts key phrases, places, people, brands, or events
    • Understands how positive or negative the text is
    • Analyzes text using tokenization and parts of speech
    • Automatically organizes a collection of text files by topic

Sample use cases:

  • analyze customer interactions (emails) to find what leads to a positive or negative experience
  • Create and groups articles by topics that Comprehend will uncover

# Amazon Comprehend Medical

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  • Amazon Comprehend Medical detects and returns useful information in unstructured clinical text:
    • Physician’s notes
    • Discharge summaries
    • Test results
    • Case notes
  • Uses NLP to detect Protected Health Information (PHI) – DetectPHI API
  • Store your documents in Amazon S3, analyze real-time data with Kinesis Data Firehose, or use Amazon Transcribe to transcribe patient narratives into text that can be analyzed by Amazon Comprehend Medical.

# Amazon SageMaker

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  • Fully managed service for developers / data scientists to build ML models
  • Typically, difficult to do all the processes in one place + provision servers
  • Machine learning process (simplified): predicting your exam score

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# Amazon Forecast

  • Fully managed service that uses ML to deliver highly accurate forecasts
  • Example: predict the future sales of a raincoat
  • 50% more accurate than looking at the data itself
  • Reduce forecasting time from months to hours
  • Use cases: Product Demand Planning, Financial Planning, Resource Planning, …

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# Amazon Kendra

  • Fully managed document search service powered by Machine Learning
  • Extract answers from within a document (text, pdf, HTML, PowerPoint, MS Word, FAQs…)
  • Natural language search capabilities
  • Learn from user interactions/feedback to promote preferred results (Incremental Learning)
  • Ability to manually fine-tune search results (importance of data, freshness, custom, …)

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# Amazon Personalize

  • Fully managed ML-service to build apps with real-time personalized recommendations
    • Example: personalized product recommendations/re-ranking, customized direct marketing
      • Example: User bought gardening tools, provide recommendations on the next one to buy
  • Same technology used by Amazon.com
  • Integrates into existing websites, applications, SMS, email marketing systems, …
  • Implement in days, not months (you don’t need to build, train, and deploy ML solutions)

Use cases: retail stores, media and entertainment…

personalize

# Summary

  • Rekognition: face detection, labeling, celebrity recognition
  • Transcribe: audio to text (ex: subtitles)
  • Polly: text to audio
  • Translate: translations
  • Lex: build conversational bots – chatbots
  • Connect: cloud contact center
  • Comprehend: natural language processing
  • SageMaker: machine learning for every developer and data scientist
  • Forecast: build highly accurate forecasts
  • Kendra: ML-powered search engine
  • Personalize: real-time personalized recommendations
  • Textract: detect text and data in documents

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