AWS machine learning

https://aws.amazon.com/free/machine-learning/

SageMaker - train ML models
- Implementations of standard ML models, to train and run in one-click processes
Rekognition - image recognition
- Identify people and events in photos and videos
Lex - voice and text chatbots
Polly - text to speech
Comprehend - NLP
- topic modelling, sentiment analysis, entity extraction
Transcribe - speech to text


https://aws.amazon.com/getting-started/tutorials/detect-analyze-compare-faces-rekognition/?trk=gs_card
Rekognition identifies and locates faces.  It can identify features (like glasses or beards). It does sentiment analysis.  It does face matching, which particularly allows identifying the same person across lots of photos.

https://aws.amazon.com/getting-started/tutorials/add-voice-to-wordpress-polly/?trk=gs_card
Using Polly with Wordpress - there's a plugin, but you need to configure the IAM permissions first.

https://aws.amazon.com/getting-started/tutorials/analyze-sentiment-comprehend/?trk=gs_card
Comprehend performs sentiment analysis, entity extraction and extracts key phrases.  This can be done through an API.

https://aws.amazon.com/getting-started/tutorials/analyze-extract-metadata-video-rekognition/?trk=gs_card
Rekognition Video takes a video, and identifies its content.  It identifies objects and activities, detects and labels people, and tags celebrities.  It can also flag and categorise innappropriate content.  For all these things, it will identify the piece of video they occurred in.

https://aws.amazon.com/blogs/machine-learning/capturing-memories-geosnapshot-uses-amazon-rekognition-to-identify-athletes/
Users sign up and upload a headshot, the system then uploads photos and video from sporting events and identifies them and their bib number, so photographers don't have to manually sort photos to contact competitors.