AdaBoost 교육

AdaBoost 교육

온라인 또는 현장에서 강사가 진행하는 라이브 AdaBoost 교육 과정은 AdaBoost를 사용하여 Python으로 기계 학습을 위한 부스팅 알고리즘을 구축하는 방법을 대화형 실습을 통해 보여줍니다. AdaBoost 교육은 "온라인 라이브 교육" 또는 "현장 라이브 교육"으로 제공됩니다. 온라인 라이브 교육(일명 "원격 라이브 교육")은 대화형 원격 데스크톱을 통해 수행됩니다. 현장 라이브 교육은 대한민국의 고객 구내 또는 대한민국의 NobleProg 기업 교육 센터에서 로컬로 수행할 수 있습니다. AdaBoost는 적응형 부스팅이라고도 합니다. NobleProg -- 지역 교육 제공자

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AdaBoost Course Outlines

코스 이름
Duration
Overview
코스 이름
Duration
Overview
14 시간
AdaBoost is an algorithm that is used together with other machine learning models for optimal performance. It uses ensemble learning techniques, combining weaker models to form more accurate predictions. This instructor-led, live training (online or onsite) is aimed at data scientists and software engineers who wish to use AdaBoost to build boosting algorithms for machine learning with Python. By the end of this training, participants will be able to:
  • Set up the necessary development environment to start building machine learning models with AdaBoost.
  • Understand the ensemble learning approach and how to implement adaptive boosting.
  • Learn how to build AdaBoost models to boost machine learning algorithms in Python.
  • Use hyperparameter tuning to increase the accuracy and performance of AdaBoost models.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.

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