AWS

Machine Learning

Cập nhật 23/06/2026

  • #aws
  • #ml

Machine Learning

Maarek SAA-C03 Slides v45 — Chapter 21. Personal study extract.

Key content

  • Machine Learning
  • Amazon Rekognition
  • Amazon Rekognition – Content Moderation
  • or offensive (image and videos)
  • advertising, and e-commerce situations to create
  • a safer user experience
  • items that will be flagged
  • Amazon Augmented AI (A2I)
  • Image
  • Amazon
  • Rekognition
  • Confidence Level
  • and Threshold
  • Optional Manual
  • review in A2I
  • Amazon Transcribe
  • convert speech to text quickly and accurately
  • "Hello my name is Stéphane.
  • I hope you're enjoying the course!
  • Amazon Polly
  • Hi! My name is Stéphane
  • and this is a demo of Amazon Polly
  • Amazon Polly – Lexicon & SSML
  • Synthesis Markup Language (SSML) – enables more customization
  • Amazon Translate
  • applications - for international users, and to easily translate large
  • volumes of text efficiently.
  • Amazon Lex & Connect
  • Phone Call
  • Schedule an
  • Appointment
  • Connect Lex
  • Intent recognized
  • Lambda CRM
  • call stream invoke schedule
  • Amazon Comprehend
  • Amazon Comprehend Medical
  • unstructured clinical text:
  • Data Firehose, or use Amazon Transcribe to transcribe patient narratives
  • into text that can be analyzed by Amazon Comprehend Medical.
  • Amazon SageMaker AI
  • Historical Data:
  • years of experience in IT

  • years of experience with AWS

  • Time spent on the course
  • label 670
  • 890
  • 934
  • build
  • ML model
  • Train and Tune
  • New data
  • Apply model
  • Prediction
  • PASS WITH 906
  • score
  • Amazon Kendra
  • Data Sources
  • Amazon S3 Amazon RDS Google Drive MS SharePoint
  • MS OneDrive
  • 3rd party,
  • APNs,
  • Custom
  • Knowledge Index
  • (powered by ML)
  • Amazon Kendra
  • indexing
  • User
  • Where is the IT support desk?
  • 1st floor
  • Amazon Personalize
  • Amazon S3
  • Amazon Personalize API
  • read data from S3
  • real-time data integration
  • Amazon Personalize
  • Customized personalized API
  • Websites & Apps
  • Mobile Apps
  • SMS
  • Emails
  • Amazon Textract
  • documents using AI and ML
  • Amazon Textract
  • {
  • "Document ID": "123456789-005",
  • "Name": "",
  • "SEX": "F",
  • "DOB": "23.05.1997",
  • }
  • analyze result
  • AWS Machine Learning - Summary

Study checklist