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Machine Learning (Supervise learning (terms (input (feature), output…
Machine Learning
Supervise learning
terms
input (feature)
output (target)
training set
hypothesis
Linear Regression
Least Mean Square(LMS)
gradient descent
cost function
widrow-Hoff learning Rule
Batch gradient descent
training set 당 update
stochastic gradient descent
training element당 update
gradient descent에 LMS의 cost function을 대입하면
Normal Equation
base
Matrix derivatives
Matrix derivatives 지식으로 LMS 식을 다시 표현하면..
Probabilistic interpretation
assumption
error are distributed IID(Independently and identically distributed)
likelihood function
Data가 어떤 모양으로 분포되어 있는지를 안다는 것은 원래 data가 어떤 식을 따르는 것을 알아낸다는 거와 같다고 볼 수 있다.
Locally weighted linear regression
Classification and logistic regression
hypotheses
logistic function
sigmoid function
Newton-Raphson
Hessian
Generalized Linear Models(GLM)
the exponential family distribution