Overview of AWS : Machine learning Services| AWS WhitePaper Summary
Tags: machinelearning, deeplearning, aws, datascience
Published: 2021-11-03 18:21:32


## Machine Learning services
![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/0tvxhqw6gvj2eomwziv5.png)
 
**Amazon Augmented AI (Amazon A2I)** is a machine learning service that makes it easy to build the workflows required for human review. 

**Amazon CodeGuru** is a developer tool that provides intelligent recommendations to improve code quality and identify an application’s most expensive lines of code. 

**CodeGuru Reviewer** uses machine learning and automated reasoning to identify critical issues, security vulnerabilities, and hard-to-find bugs during application development and provides recommendations to improve code quality.

**CodeGuru Profiler** helps developers find an application’s most expensive lines of code by helping them understand the runtime behavior of their applications, identify and remove code inefficiencies, improve performance, and significantly decrease compute costs.

**Amazon Comprehend** is a natural language processing (NLP) service that uses machine learning to find insights and relationships in a text. No machine learning experience is required.
Amazon Comprehend uses machine learning to help you uncover the insights and relationships in your unstructured data. The service identifies the language of the text; extracts key phrases, places, people, brands, or events; understands how positive or negative the text is; analyzes text using tokenization and parts of speech; and automatically organizes a collection of text files by topic.

**Amazon DevOps Guru** is a Machine Learning (ML) powered service that makes it easy to improve an application’s operational performance and availability. DevOps Guru detects behaviors that deviate from normal operating patterns so you can identify operational issues long before they impact your customers.

**Amazon Elastic Inference** allows you to attach low-cost GPU-powered acceleration to Amazon EC2 and Amazon SageMaker instances to reduce the cost of running deep learning inference by up to 75%. Amazon Elastic Inference supports TensorFlow, Apache MXNet, PyTorch, and ONNX models.

**Amazon Forecast** is a fully managed service that uses machine learning to deliver highly accurate forecasts.
Amazon Forecast is a fully managed service, so there are no servers to provision, and no machine learning models to build, train, or deploy. You pay only for what you use, and there are no minimum fees and no upfront commitments.

**Amazon Fraud Detector** is a fully managed service that uses machine learning (ML) and more than 20 years of fraud detection expertise from Amazon, to identify potentially fraudulent activity so customers can catch more online fraud faster. 

**Amazon HealthLake** is a HIPAA-eligible service that healthcare providers, health insurance companies, and pharmaceutical companies can use to store, transform, query, and analyze large-scale health data.

**Amazon Kendra** is an intelligent search service powered by machine learning. Kendra reimagines enterprise search for your websites and applications so your employees and customers can easily find the content they are looking for, even when it’s scattered across multiple locations and content repositories within your organization.

**Amazon Lex** is a service for building conversational interfaces into any application using voice and text. Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user experiences and lifelike conversational interactions. 

**Amazon Lookout** for Equipment analyzes the data from the sensors on your equipment (e.g. pressure in a generator, flow rate of a compressor, revolutions per minute of fans), to automatically train a machine learning model based on just your data, for your equipment – with no ML expertise required.

**Amazon Lookout for Metrics** uses machine learning (ML) to automatically detect and diagnose anomalies in business and operational data, such as a sudden dip in sales revenue or customer acquisition rates.

**Amazon Lookout for Vision** is a machine learning (ML) service that spots defects and anomalies in visual representations using computer vision (CV). With Amazon Lookout for Vision, manufacturing companies can increase quality and reduce operational costs by quickly identifying differences in images of objects at scale. 

**Amazon Monitron** is an end-to-end system that uses machine learning (ML) to detect abnormal behavior in industrial machinery, enabling you to implement predictive maintenance and reduce unplanned downtime.

**Amazon Personalize** is a machine learning service that makes it easy for developers to create individualized recommendations for customers using their applications.
Amazon Personalize is like having your own Amazon.com machine learning personalization team at your disposal, 24 hours a day.

**Amazon Polly** is a service that turns text into lifelike speech. Polly lets you create applications that talk, enabling you to build entirely new categories of speech-enabled products. Polly is an Amazon artificial intelligence (AI) service that uses advanced deep learning technologies to synthesize speech that sounds like a human voice.

**Amazon Rekognition** makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. 

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/wfwjh41yekm0askwu5kv.png)
 
**Amazon SageMaker** is a fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. SageMaker removes all the barriers that typically slow down developers who want to use machine learning.
SageMaker removes the complexity that holds back developer success with each of these steps. SageMaker includes modules that can be used together or independently to build, train, and deploy your machine learning models.

**Amazon SageMaker Ground Truth** helps you build highly accurate training datasets for machine learning quickly. SageMaker Ground Truth offers easy access to public and private human labelers and provides them with built-in workflows and interfaces for common labeling tasks. 

**Amazon Textract** is a service that automatically extracts text and data from scanned documents. Amazon Textract goes beyond simple optical character recognition (OCR) to also identify the contents of fields in forms and information stored in tables.


**Amazon Transcribe** is an automatic speech recognition (ASR) service that makes it easy for developers to add speech-to-text capability to their applications. Using the Amazon Transcribe API, you can analyze audio files stored in Amazon S3 and have the service return a text file of the transcribed speech. You can also send a live audio stream to Amazon Transcribe and receive a stream of transcripts in real time.

**Amazon Translate** is a neural machine translation service that delivers fast, high-quality, and affordable language translation. 

**Apache MXNet** on AWS is a fast and scalable training and inference framework with an easy-to-use, concise API for machine learning.

**The AWS Deep Learning AMIs** provide machine learning practitioners and researchers with the infrastructure and tools to accelerate deep learning in the cloud, at any scale. 

**AWS DeepComposer** is the world’s first musical keyboard powered by machine learning to enable developers of all skill levels to learn Generative AI while creating original music outputs. 

**AWS DeepLens** helps put deep learning in the hands of developers, literally, with a fully programmable video camera, tutorials, code, and pre-trained models designed to expand deep learning skills.

**AWS DeepRacer** is a 1/18th scale race car which gives you an interesting and fun way to get started with reinforcement learning (RL). RL is an advanced machine learning (ML) technique which takes a very different approach to training models than other machine learning methods. 

**AWS Inferentia** is a machine learning inference chip designed to deliver high performance at low cost. AWS Inferentia will support the TensorFlow, Apache MXNet, and PyTorch deep learning frameworks, as well as models that use the ONNX format.


**TensorFlow on AWS** enables developers to quickly and easily get started with deep learning in the cloud. The framework has broad support in the industry and has become a popular choice for deep learning research and application development, particularly in areas such as computer vision, natural language understanding and speech translation.