Machine Learning for Robotics 교육 과정

Course Code



21 hours (usually 3 days including breaks)


High School maths, basics knowledge of statistics


이 과목은 로봇 응용 분야에서의 기계 학습 방법을 소개한다.

그것은 패턴 인식의 맥락에서 기존 방법, 동기 및 주요 아이디어에 대한 폭 넓은 개요입니다.

짧은 이론적 배경 후에 참가자는 오픈 소스 (일반적으로 R) 또는 기타 대중적인 소프트웨어를 사용하여 간단한 운동을 수행합니다.

Machine Translated

Course Outline

  • Regression
  • Probabilistic Graphical Models
  • Boosting
  • Kernel Methods
  • Gaussian Processes
  • Evaluation and Model Selection
  • Sampling Methods
  • Clustering
  • CRFs
  • Random Forests
  • IVMs

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