# Amazon Machine Learning
**Wikidata**: [Q23303451](https://www.wikidata.org/wiki/Q23303451)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Amazon_Machine_Learning)  
**Source**: https://4ort.xyz/entity/amazon-machine-learning

## Summary
Amazon Machine Learning is an entity classified within the field of machine learning, developed by the American multinational technology company Amazon. It is associated with the scientific study of algorithms and statistical models that computer systems use to perform tasks without explicit instructions.

## Key Facts
*   **Developer:** Amazon (American multinational technology company).
*   **Classification:** Instance of Machine Learning.
*   **Developer Founding:** Amazon was founded on July 5, 1994.
*   **Developer Headquarters:** Seattle, United States (specifically 410 Terry Avenue North, ZIP 98101).
*   **Developer Employees:** Amazon reported 341,400 employees as of December 31, 2016, and 566,000 as of 2017.
*   **Wikipedia Presence:** The entity has an English Wikipedia page titled "Amazon Machine Learning."

## FAQs
### Q: Who developed Amazon Machine Learning?
A: Amazon Machine Learning was developed by Amazon, an American multinational technology company founded in 1994.

### Q: What category does Amazon Machine Learning belong to?
A: It is classified as an instance of machine learning, which involves the scientific study of algorithms and statistical models used to perform tasks without explicit instructions.

### Q: Where is the developer of Amazon Machine Learning headquartered?
A: The developer, Amazon, is headquartered in Seattle, Washington, United States.

## Why It Matters
Amazon Machine Learning represents the intersection of one of the world's largest technology retailers and the advanced field of data science. As an entity developed by Amazon, it benefits from the infrastructure of a company deeply embedded in both the retail and web hosting service industries.

The significance of this entity lies in its connection to the broader concept of machine learning—the study of algorithms that allow computer systems to operate without explicit instructions. By associating these capabilities with Amazon's extensive resources (including a workforce of over half a million people as of 2017 and massive web hosting infrastructure), the entity highlights the integration of automated statistical models into mainstream technology services.

## Notable For
*   **Corporate Backing:** Developed by Amazon, a founder of the modern e-commerce and cloud computing industries.
*   **Field Classification:** Directly classified as an instance of "machine learning," distinct from general software applications.
*   **Scale of Developer:** Supported by an organization with over 500,000 employees and headquarters in Seattle, WA.
*   **Industry Context:** Developed by a company active in both retail and web hosting services.

## Body
### Developer Profile
Amazon Machine Learning is a creation of Amazon, a prominent American multinational technology company. The company was legally inceptioned on July 5, 1994. Its corporate headquarters are located in Seattle, United States, at 410 Terry Avenue North (ZIP code 98101).

Amazon operates primarily within the retail and web hosting service industries. The scale of the organization is substantial, with reported employee counts rising from 230,800 in December 2015 to 341,400 in December 2016, and reaching 566,000 in 2017.

### Concept and Definition
The entity is defined as an instance of **machine learning**. According to the source material, machine learning is the scientific study of algorithms and statistical models that computer systems utilize to perform tasks without explicit instructions. This field relies on patterns and inference instead of rigid, rule-based programming.

### Knowledge Base Presence
Within structured knowledge sources, Amazon Machine Learning is categorized under the "machine learning" domain. It maintains a presence on English Wikipedia, though it currently has a low sitelink count (1), indicating a focused or specific scope within the broader encyclopedia ecosystem.