AWS CCP
Machine Learning
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Machine Learning
Security & CompliaceCloud Integrations :Elastic Load Balancer & Auto scaling groupsVPC & NetworkingEC2IAMAWS Well-Architected Framework & AWS Ecosystem.Machine LearningDatabases & AnalyticsIntroductionCloud MonitoringAmazon S3Other Compute ServicesBilling and PricingDeployments & Managing Infrastructure at Scale.Leveraging the AWS Global InfrastructureWhat is cloud computingAdvanced Identity
  • Machine learning
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Last updated 2 years ago

AWS Rekognition :

  • Image and video analysis using machine learning with features, such as labelling, face detection, text detection.

AWS Transcribe :

  • Automatically convert speech to text using a deep learning process.

AWS Polly :

  • Turn text into speech using deep learning.

AWS Lex :

  • A service to help to build conversational bots ("chatbots")

  • Same deep learning technologies that power Amazon Alexa.

AWS Connect :

  • Omnichannel cloud contact center to provide a lifelike and delightful experience to customers.

  • Works really well with Amazon Lex.

AWS Comprehend :

  • Natural Language Processing - NLP service.

  • Discover insights and relationships in text.

AWS SageMaker :

  • Provides every developer and data scientist with the ability to build, train and deploy machine learning - ML models quickly.

AWS Forecast :

  • Fully managed service that uses ML to deliver highly accurate forecasts

  • e.g. predict the future sales of a raincoat.

  • Reduce forecasting time from months to hours.

  • Used in Product Demand planning, Financial planning, Resource Planning.

AWS 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 interactions8feedback to promote preferred results - Incremental learning.

  • Ability to manually fine-tune search results ( importance of data, freshness, custom..)

Amazon Personalize :

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

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

  • Integrates into existing websites, applications, SMS, email marketing systems..

  • used in retail stores, media and entertainment..

AWS Machine Learning - 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 - NLP

  • SageMaker : Machine learning for every developer and data scientist

  • Forecast : build highly accurate forecasts

  • Kendra : ML-powered search engine.

  • Personalize : real-time personalized recommendations.

  • AWS Rekognition :
  • AWS Transcribe :
  • AWS Polly :
  • AWS Lex :
  • AWS Connect :
  • AWS Comprehend :
  • AWS SageMaker :
  • AWS Forecast :
  • AWS Kendra :
  • Amazon Personalize :
  • AWS Machine Learning - Summary :

Machine learning

Let's learn about the different machine learning services in AWS.