Naive Bayes
Based on the lecture “Intro. to Machine Learning (2023-2)” by Prof. Je Hyuk Lee, Dept. of Data Science, The Grad. School, Kookmin Univ.
Based on the lecture “Intro. to Machine Learning (2023-2)” by Prof. Je Hyuk Lee, Dept. of Data Science, The Grad. School, Kookmin Univ.
Based on the lecture “Bayesian Modeling (2024-1)” by Prof. Yeo Jin Chung, Dept. of AI, Big Data & Management, College of Business Administration, Kookmin Univ.
DiD 이중차분법(Difference-in-Differences; DiD): 평행 추세 가정 하에 정책 시행에 따른 인과적 효과를 반사실과의 추세 차이로써 추정하는 준실험설계법(Quasi-Experimental) 평행 추세 가정(Parallel Trends Assumption): 관측 불가능한 반사실(counterfa...
Based on the lecture “Bayesian Modeling (2024-1)” by Prof. Yeo Jin Chung, Dept. of AI, Big Data & Management, College of Business Administration, Kookmin Univ.
E-M Algorithm E-M Algorithm(Expectation-Maximization): 잠재요인(latent factor)을 수반하는 확률 모형에서, 우도(likelihood)를 직접 최대하기 어려울 경우 그 대리 변수로서 완전 데이터 우도(complete data likelihood)를 최대화하는 파라미터를 반복적으로 갱...
Information Theory 정보이론(Information Theory): 신호에 존재하는 정보의 양을 측정하는 이론으로서, 특정 확률분포의 특성을 알아내거나, 두 확률분포 간 유사성을 정량화하는 데 사용함 Shannon’s Information Theory Principles 자주 발생하지 않는 사...
Based on the lecture “Bayesian Modeling (2024-1)” by Prof. Yeo Jin Chung, Dept. of AI, Big Data & Management, College of Business Administration, Kookmin Univ.
Based on the lecture “Bayesian Modeling (2024-1)” by Prof. Yeo Jin Chung, Dept. of AI, Big Data & Management, College of Business Administration, Kookmin Univ.
Based on the lecture “Bayesian Modeling (2024-1)” by Prof. Yeo Jin Chung, Dept. of AI, Big Data & Management, College of Business Administration, Kookmin Univ.