Amazon
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- Platforms: Machine Learning as a Service (MLaaS)
- AWS with TensorFlow
- DeepLens - deep learning enabled video camera
- AWS Internet of Things (IoT)
- AmazonML
- Deep Learning (DL) Amazon Machine Image (AMI) - DLAMI
- Alexa Skills Kit implementing Amazon’s cloud-based voice service
- FloydHub - training and deploying your DL models
- On-Demand AWS Tech Talks
- AWS Training and Certification
- Assistants
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Integrated Components/Technologies
- Textract in the Elastic Stack Architecture
- Comprehend - natural language processing (NLP) service
- Lex - conversational interfaces using voice and text
- SageMaker - build, train, and deploy
- Polly - text to speech
- Rekognition - video analysis service
- Kinesis - collect, process, and analyze real-time, streaming data
- Lambda - run code without managing servers
- AWS Internet of Things (IoT) Services Overview; process and route those messages to AWS endpoints
- MQTT - A lightweight messaging protocol
- AWS IoT Button
- Greengrass - connected devices can run AWS Lambda functions, keep device data in sync
- Intel® Compute Library for Deep Neural Networks (clDNN) & OpenVINO - deep learning primitives for computer vision
- Simple Queue Service (SQS) - message queuing
- Simple Notification Service (SNS) - pub/sub messaging and mobile notifications
- DynamoDB - NoSQL database
- Simple Storage Service (S3) - object storage
- Athena interactive query service to analyze data in Amazon S3 using standard SQL
- Serverless run applications and services without thinking about servers
- Glue a fully managed extract, transform, and load (ETL) service to prepare and load data for analytics
- Crawlers to populate the AWS Glue Data Catalog with tables
- Management Console - manage web services
- Deep Learning (DL) Amazon Machine Image (AMI) - DLAMI
- SoftAP - software enabled access point
- Ubuntu - operating system
Libraries & Frameworks
