> For the complete documentation index, see [llms.txt](https://elastic-korea.gitbook.io/elastic-reference-box/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://elastic-korea.gitbook.io/elastic-reference-box/machine-learning/undefined-6.md).
# Elastic 머신러닝이란?
## 엘라스틱 머신러닝 소개 웨비나 [영상보기](https://www.elastic.co/kr/webinars/supervised-machine-learning?view=1)
엘라스틱에서는 두 가지 종류의 머신러닝을 제공합니다
* 시계열 데이터에서 anomaly data를 찾아내는 **Un-supervised 머신러닝** (이상징후 탐지)
* Classification 기반의 **Supervised 머신러닝**
[**엘라스틱 머신러닝 웨비나**](https://elastic.zoom.us/rec/play/7MYlJeirqG83HIed4gSDBfd6W47vL6ushnAar_ZcxEm8VXMFYQKkN-MUMOB8zgjgDHFgTy8B7kfdLo9v?continueMode=true&_x_zm_rtaid=zyTD-AkhTGmPrN2opSfYpg.1590480062869.b56118c92d93f164e030948acb74c264&_x_zm_rhtaid=956) 에서는 위 두가지 머신러닝에 대한 소개 및 데모를 전달합니다.
특히 Elastic 7.6 부터 제공되는 Supervised 머신러닝을 비즈니스에 어떻게 적용해볼 수 있을지 초점을 두어 소개합니다. 가령 새로 나온 영화가 내가 좋아하는 영화에 속하는지, 그렇지 않은지를 미리 확인할 수 있다거나 부품의 불량 여부, 대출 적격성, 암 발생 여부 등을 예측할 수도 있습니다.
---
# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.
## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.
Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:
```
GET https://elastic-korea.gitbook.io/elastic-reference-box/machine-learning/undefined-6.md?ask=&goal=
```
`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.
Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.