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https://machinelearningmastery.com/types-of-classification-in-machine-learning/ 4 Types of Classification Tasks in Machine Learning Machine learning is a field of study and is concerned with algorithms that learn from examples. Classification is a task that requires the use of machine learning algorithms that learn how to assign a class label to examples from the problem domain. An eas machinele..
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https://machinelearningmastery.com/types-of-classification-in-machine-learning/ 4 Types of Classification Tasks in Machine Learning Machine learning is a field of study and is concerned with algorithms that learn from examples. Classification is a task that requires the use of machine learning algorithms that learn how to assign a class label to examples from the problem domain. An eas machinele..
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각 입력 신호와 해당 가중치의 곱의 합(ex. x1w1 * x2w2)이 일정 수준을 넘으면 y는 1, 넘지 못하면 0 (임계값 θ) 머신러닝은 가중치를 자동으로 설정. 편향bias b: -θ를 치환한 것 y = 1 (if x1w1 * x2w2 > θ) y = 1 (if x1w1 * x2w2 + b > 0) XOR 게이트 구현? 선형 영역에서 구현 어려움 다층 퍼셉트론 단층 퍼셉트론을 겹쳐서 원하는 기능 구현
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1. 머신러닝 프로세스 1) 데이터 수집 단계 어떤 데이터를 수집할 것인가?
