창문을 열고 달리며 학교로 오는 길에

아침 7 시 반 인데 음주 단속을 하고 있었다.

어째서 인지 나에게는 음주 단속을 하지 않았다.

아마 나를 미성년자로 판단한게 아닐까 싶었다. 매우 합리적인 추론이다.

'음 그래 누구나 헷갈릴만 하지.' 하고 속으로 생각하며 엑셀을 밟았다.

가을 아침 햇살은 유난히 눈 부셨다.

Meet Todai Robot, an AI project that performed in the top 20 percent of students on the entrance exam for the University of Tokyo -- without actually understanding a thing. While it's not matriculating anytime soon, Todai Robot's success raises alarming questions for the future of human education. How can we help kids excel at the things that humans will always do better than AI?

This talk was presented at an official TED conference, and was featured by our editors on the home page.

URL: https://www.ted.com/talks/noriko_arai_can_a_robot_pass_a_university_entrance_exam

meaning .. 도 조만간이지 싶은데^^;

HDD 케이스, 도킹스테이션

Unfortunately, not all collinearity problems can be

detected by inspection of the correlation matrix: it is possible for collinearity to exist between three or more variables even if no pair of variables

has a particularly high correlation. We call this situation multicollinearity.

multiInstead of inspecting the correlation matrix, a better way to assess

collinearity is to compute the variance inflation factor (VIF). The VIF is

the ratio of the variance of βˆj when fitting the full model divided by the

variance of βˆj if fit on its own. The smallest possible value for VIF is 1,

which indicates the complete absence of collinearity. Typically in practice

there is a small amount of collinearity among the predictors. As a rule of

thumb, a VIF value that exceeds 5 or 10 indicates a problematic amount of

collinearity.

공식은 ISL Chapter 3. Linear Regression 3.3 마지막 부분 p. 102