Every (139) 썸네일형 리스트형 [22.07.30.] 영어스터디-중급 TED : How Airbnb designs for trust ( https://www.ted.com/talks/joe_gebbia_how_airbnb_designs_for_trust?awesm=on.ted.com_8bd2 ) Question Would you like to be a Airbnb host later? Have you ever used Airbnb when you went on a trip? If so, what was it like? What do you think about the shared business? Do you think it is profitable? Answer No. I don't think so. Umm my people know me well. Actually I .. [22.07.23.] 영어스터디-중급 TED : How to build (and rebuild) trust (https://www.ted.com/talks/frances_frei_how_to_build_and_rebuild_trust) Question Are you a person who trust others easily? Do you have your own method to build trust on others? Do you have any experience of terminating relationship recently? (wheter it was by your intention or not) Answer In my think I like to deal with people in many ways. cause of my char.. #3. Definition of Linearity & Linear System ※ 본 블로그 포스팅은 다양한 Youtube, 무료강의, 블로그 포스팅을 조합하여 개인 공부한 흔적을 남기기 위해 작성되었습니다. 그렇기에 상당수 내용이 쉽게 구할 수 있는 자료와 중복될 수 있음을 알려드립니다. Keywords Linearity Lineaer System Identity Element & Inverse Element Ⅰ. Linearity (선형성) '선형'이라는 말은 "특정함수나 Operation(연산)이 Linear(선형적)하다."라는 말에 사용될 수 있다. 이와 같이 말하기 위해서는 다음 2가지 조건을 만족해야 한다. Superposition(중첩) : $f(x_1+x_2) = f(x_1)+f(x_2)$ Homogeneity(동종) : $f(ax)=af(x)$, $a$ is con.. [22.07.16.] 영어스터디-중급 TED : Can We choose to fall out in the love (https://www.ted.com/talks/dessa_can_we_choose_to_fall_out_of_love_feb_2019) Question Do you have your own meaning for love? If you have your own meaning outside of the dictionary definition, please tell us your story Have you ever though about the form of love? Talk about the different forms of love you know. Have you ever been passionately fall in lo.. #2. Basis of Linear Algebra : Matrix Notation Keywords Matrix Notation Square matrix Rectangle matrix Transpose matrix Matrix Operations Ⅰ. Matrix Notation Matrix(=행렬)는 linear algebra 및 machine learning에서 가장 많이 사용되는 기본 자료형으로 그 쓰임새나 종류 또한 매우 다양하다. 그렇기에 이들을 정리하고 잘 파악할 필요가 있다. 가장 간단한 2개의 Vector를 예시로 들어보자. 아래 Column vector x를 보자. $$\textbf{x} = \begin{bmatrix} x_1 \\ x_2 \\ \cdots \\ x_n \\ \end{bmatrix} \in \mathbb{R}^n = \mathbb{R}^{n \times .. 이전 1 ··· 20 21 22 23 24 25 26 ··· 28 다음
