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MachineLearning스터디/Introduction: Difference between revisions

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Describe MachineLearning스터디/Introduction here
__TOC__
== 머신 러닝이란? ==
* 인공지능을 점진적으로 발달시키는 것
* Reinforcement learning, Recommender system이라고도 부른다.
=== 예 ===
* 데이터 마이닝
* 무인으로 적용되는 응용프로그램(무인 헬리콥터, 자연어 처리 등등.)
 
=== Tom Mitchell(1998)의 정의 ===
* Well-posed Learning Problem: A computer program is said to learn from experience E with respect to some task T and some performance measure P, if its performance on T, as measured by P, improves with experience E.
* 번역을 하려 했으나, 맛깔나게 번역을 못하겠으므로... :(
 
=== 머신 러닝의 종류 ===
* Supervised Learning
* Unsupervised Learning
 
== Supervised Learning ==



Revision as of 16:21, 3 February 2014

머신 러닝이란?

  • 인공지능을 점진적으로 발달시키는 것
  • Reinforcement learning, Recommender system이라고도 부른다.

  • 데이터 마이닝
  • 무인으로 적용되는 응용프로그램(무인 헬리콥터, 자연어 처리 등등.)

Tom Mitchell(1998)의 정의

  • Well-posed Learning Problem: A computer program is said to learn from experience E with respect to some task T and some performance measure P, if its performance on T, as measured by P, improves with experience E.
  • 번역을 하려 했으나, 맛깔나게 번역을 못하겠으므로... :(

머신 러닝의 종류

  • Supervised Learning
  • Unsupervised Learning

Supervised Learning