기계 학습

기계 학습 강좌는 대규모 데이터를 활용하고 학습할 수 있는 시스템 만들기에 중점을 두고 있습니다. 연구 주제는 예측적 알고리즘, 자연 언어 처리 및 통계 패턴 인식을 포함하고 있습니다.

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학위 취득

AI is not only for engineers. This non-technical course will help you apply AI in your own organization.

Discover the key concepts and theories behind 2D & 3D with the new Advanced App Development Specialization

가장 인기 있는 수료증

최고의 기계 학습 및 AI

가장 인기 있는 과정

최상급 과정

머신 러닝 및 AI 기초

데이터 과학을 위한 기초 수학 기술 및 통계 마스터

    기계 학습에 대한 자주 묻는 질문

  • Machine learning is a branch of artificial intelligence that seeks to build computer systems that can learn from data without human intervention. These powerful techniques rely on the creation of sophisticated analytical models that are “trained” to recognize patterns within a specific dataset before being unleashed to apply these patterns to more and more data, steadily improving performance without further guidance.

    For example, machine learning is making increasingly accurate image recognition algorithms possible. Human programmers provide a relatively small set of images that are labeled as “cars” or “not cars,” for instance, and then expose the algorithms to vastly larger numbers of images to learn from. While the iterative algorithms typically used in machine learning aren’t new, the power of today’s computing systems have enabled this method of data analysis to become more effective more rapidly than ever.