Natural Language Processing Specialization

repeat until minimize the costsparse희소

probability of intersectionhappy중에 positivepositive중에 happynaive bayes is example of supervised machine learningshare many similarities with logistic

Lecture : Vector Space Models Vector Space Models Summary Represent words and documents as vectors Representation that captures relative meaning W

Minimize the distance프로베니우스 놈(Frobenius norm) : L2 Norm;Euclidean Norm을 matrix로 확장R is mapping matrix

spell is correct but context is incorrectstep 1 \- identifying the misspelled wordstep 2 \- finding the strings that are n edit distances awaystep 3

$${(N+1)}\\times N$$; N = number of hidden statescontext에 따라서 tag가 달라질 수 있어서 확률이 0이 아니다.