Machine Learning
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[ML] Parametric model vs Non-parametric modelMachine Learning/용어 2021. 11. 30. 13:24
Parametric model : the model has fixed number of parameters 고정된 개수의 파라미터들을 학습한다. flexibility 낮음 Ex) Linear regression, Logistic regression, Bayesian inference, Neural network(CNN, RNN)등 Non-parmetric model : the number of parameters grow with the amount of training data Ex) Decision tree, K-means clustering 등
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[ML] Inference vs predictionMachine Learning/용어 2021. 11. 22. 16:33
Inference : 변수가 결과에 미치는 영향에 관심이 있음 -> 모델의 설명력을 위해 변수를 추가하거나 제거 prediction : 결과 값이 얼마나 잘 나오는지에 관심이 있음 -> 결과의 정확도를 높이기위해 모델을 바꿀수 있음 예시 1. For example, in a real estate setting, one may seek to relate values of homes to inputs such as crime rate, zoning, distance from a river, air quality, schools, income level of community, size of houses, and so forth. In this case one might be interested in how ..