# Machine learning

## AWS Rekognition : 

* Image and video analysis using machine learning with features, such as labelling, face detection, text detection.
* ![](https://1979724870-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FUJ4LLN5gTazPIxogKbVF%2Fuploads%2FJzkTcWmr3fI9YHq1GYvY%2Fimage.png?alt=media\&token=32ef7b92-2efe-4719-8b03-d6b38c9cb3c1)

## 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.