# 막돼먹은 엔지니어의 머신러닝 개발

> Clean Markdown view of GeekNews topic #795. Use the original source for factual precision when an external source URL is present.

## Metadata

- GeekNews HTML: [https://news.hada.io/topic?id=795](https://news.hada.io/topic?id=795)
- GeekNews Markdown: [https://news.hada.io/topic/795.md](https://news.hada.io/topic/795.md)
- Type: news
- Author: [xguru](https://news.hada.io/@xguru)
- Published: 2019-10-27T10:17:16+09:00
- Updated: 2019-10-27T10:17:16+09:00
- Original source: [skettee.github.io](https://skettee.github.io/)
- Points: 3
- Comments: 0

## Topic Body

고객이나 보스가 문제를 주고 엔지니어가 이를 해결하는 과정으로 구성

구글 코랩과 연동되어 브라우저에서 바로 실행하고 결과 확인 가능

1. 선형회귀(Linear Regression)

2. 로지스틱 회귀 (Logistic Regression)

3. 뉴럴 네트워크 (Neural Network)

4. 뉴럴 네트워크 (NN) - MNIST

5. Convolutional Neural Network (CNN)

6. 잠재 인수 모델 (Latent Factor Model)

7. Recurrent Neural Network (RNN)

8. Long Short-Term Memory (LSTM)

9. Monte Carlo Learning

10. SARSA Learning

11. Q-Learning

12. Q 네트워크 (Q-Networks)

13. Policy Gradient (PG)

## Comments



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