Lex provides natural language chatbot capability. It is based on the same technology as Amazon Alexa. With Lex a user can communicate by voice as part of a conversation to achieve their desired goal or intent. Lex analyses what the user says, this is termed an utterance. From a few text examples Lex can understand the many different ways a person can say something with the same meaning. By understanding the user utterance and user intent Lex can choose the appropriate action to take.
Overview Amazon Textract is used to convert scanned documents to text. This includes text in tables and hand written form. When text is extracted it is returned with coordinates that identify a box shaped area on the document. This allows for auditing later since the text can be traced back to a specific area in…
Ground Truth Overview Amazon SageMaker Ground Truth is a service you can use to manually label data. This provides high quality labelled data in the preprocessing stage to be used to train Supervised Learning models. Training data is sent to AWS and they take care of the rest returning your data with attached labels processed by…
Overview Amazon Polly converts text to speech, allowing you to build speech enabled services. Polly can translate text to speech (TTS) to produce realistic voice messages to which a user can take action, or respond as part of a conversation. Video: Text-to-Speech with Amazon Polly Key features of Amazon Poly Amazon Poly use cases Video:…
Overview Amazon Comprehend is used to analyse text to reveal insights and relationships in unstructured data. The data can be any type of free form text such as emails or text messages. For sentiment analysis Amazon Comprehend can tell you the overall sentiment of the text identifying if it was favourable to the subject, or…
This Study Guide describes how to deploy a Machine Learning Model into the production environment and to monitor it once it is deployed. The foundations of a reliable production environment are good Software Management and Software Engineering. The emerging job role of ML Ops, which is derived from Dev Ops, is focused on delivering the…
Overview Canary deployment, Blue/Green deployment and A/B testing are methods to control risk. SageMaker Endpoints support these methods. Canary deployment A Canary release is a very risk averse deployment strategy. It involves directing a small proportion of the live traffic to the new production variant and checking that everything works as expected. The proportion of…
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