PoshJosh's Blog

Notes on Amazon Web Services 4 - Analytics and Machine Learning

March 02, 2020

Anaytics

  • Elastic Map Reduce (EMR) - Hadoop framework as a service. Data can be analyzed by EMR in AWS data stores like S3 and DynamoDb etc.
  • Athena - Allows you to analyze data stored in an amazon S3 bucket using standard SQL queries
  • Elasticsearch Service - Managed service for elasticsearch framework.
  • Kinesis - Process and analyze real time streaming data
  • QuickSight - Business intelligence tool

Maching Learning

  • DeepLens - Deep learning enabled video camera which has a deep learning SDK that allows you to create advanced vision system apps.
  • SageMaker - Flagship machine learning product. Enables you build your own machine learning apps and deploy it to the AWS cloud.
  • AmazonRekognition - Provides deep learning based analysis of videos and images.
  • Lex - Allows you to build conversational chatbots.
  • Polly - Natural sounding tex to speech
  • Comprehend - Use deep learning analyze text for insights and relationships. Usable for customer analysis and searching of documents etc
  • Translate - Use machine learning to acurately translate to various languages
  • Transcribe - Automatic speech recognition service that can analyze audio files stored in amazon s3 and return the transcribed text.

Amazon Rekognition Use Case

  • Management Console -> Services -> Rekognition
  • Send a request to the Amazon Rekognition api though the SDK e.g javascript SDK or java SDK.
  • Receive a response with all the labels and the percentage probability of occurrence.

Note

  • Amazon Rekognition could be used for image moderation.. i.e to ensure safe content.

Acronyms

  • EMR - Elastic Map Reduce

Links

References


Written byChinomso IkwuagwuExcélsior

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