Amazon Web Services (or AWS) is the most widely used all-inclusive cloud platform. It offers more than 200 fully-featured services, from multiple data centers around the globe. Amazon Web Services is used by millions of customers, including large companies, fast-growing startups and leading government agencies. They help them be more agile, lower costs, and innovate faster.
Amazon Web Services Overview
Amazon Web Services is Amazon’s cloud service platform. It allows enterprises of all sizes and types to inculcate services and manage data. AWS allows companies to store and pay only for the database, content delivery, and compute power they need.
AWS allows enterprises to easily adapt to their services and capabilities, without having to build them in-house. This reduces costs and speeds up implementation. AWS is preferred by companies over other cloud-based services for the following reasons:
Security: Data encryption offers end-to-end security

Experience: Amazon is a pioneer in cloud computing and offers the best-in class solutions based on its many years of experience.

Usability: Developers find Amazon Web Services relatively easy to use, as they can create new apps, deploy existing apps, and migrate them.

Flexibility: AWS offers remarkable flexibility and allows developers to choose the system language and the database.

Different Amazon Web Services Machine Learning Tools and Services
Amazon offers many tools and services under AWS Machine Learning. These solutions allow developers and organizations to deploy ML systems faster than code-based approaches. These are the different AWS Machine Learning options:
SageMaker

SageMaker is a service that helps you quickly and efficiently transition your machine learning models from concept to production. It includes a variety of tools that allow you build, deploy, design, and manage your Machine Learning. Additionally, it features an Autopilot that automatically runs your model through multiple algorithms to determine which one is most effective.
Comprehend:

Comprehend uses Machine Learning to extract useful information out of text data. This includes unstructured data such as customer reviews and emails. It is fully managed and can be integrated with pre-trained models.
Lex:

Lex allows you to create conversational chatbots for sales, customer service, or other similar applications. It also includes the Natural Language Understanding component that makes sense of colloquial languages and provides the correct feedback.
Fraud Detector:

Fraud Detector, as the name suggests is designed to flag fraudulent accounts. For future use, organizations should provide the data from fraudulent transactions.
Translate:

Amazon Translate, a neural machine-based translation tool that works in the same way as Google Translate, allows you to locate websites from different countries and translate large volumes of text. You can also customize the brand names and other jargon in your account.
CodeGuru

CodeGuru assists developers to spot potential problems in their code before it is too late. CodeGure, for instance, can detect inefficiencies and leaks in CPU cycles and then suggest solutions based on the context.
Rekognition:

Rekognition, a computer version service, streamlines the development process for applications that recognize objects and people in images and videos. It allows organizations to manage all aspects of image and video recognition tasks. This allows them to focus on building high-value applications and index metadata such as faces, scenes, and objects to simplify their video search.
Forecast:

Forecast uses existing data to provide time-series forecasts for organizations. It can, for example, predict future stock prices, customer support, business expenses and customer support.
Kendra:

Kendra hosted service is a search engine for businesses that can help customers with product-related queries. It can also answer Natural Language questions, which help companies save money on customer support.
DeepRacer:

DeepRacer allows driverless automobile developers to test their algorithms by creating a 1:1 scale model car. Developers can race against each other on virtual racing tracks.
Polly:

Polly is used to make speech-enabled products which mimic conversation styles across a wide variety of languages. It can interpret written text and convert it into conversational language.