๋ณธ๋ฌธ ๋ฐ”๋กœ๊ฐ€๊ธฐ

ML

Lecture 3: Multiplication and inverse matrices
ML/์„ ํ˜•๋Œ€์ˆ˜ Lecture 3: Multiplication and inverse matrices ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/video-lectures/lecture-3-multiplication-and-inverse-matrices/ Lecture 3: Multiplication and inverse matrices | Video Lectures | Linear Algebra | Mathematics | MIT OpenCourseWare ocw.mit.edu
Lecture 2: Elimination with matrices
ML/์„ ํ˜•๋Œ€์ˆ˜ Lecture 2: Elimination with matrices ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/video-lectures/lecture-2-elimination-with-matrices/ Lecture 2: Elimination with matrices | Video Lectures | Linear Algebra | Mathematics | MIT OpenCourseWare ocw.mit.edu
Lecture 1: The geometry of linear equations
ML/์„ ํ˜•๋Œ€์ˆ˜ Lecture 1: The geometry of linear equations ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/video-lectures/lecture-1-the-geometry-of-linear-equations/ Lecture 1: The geometry of linear equations | Video Lectures | Linear Algebra | Mathematics | MIT OpenCourseWare ocw.mit.edu
๋ผ์˜(Lasso) ๋ž€?
ML/ML ๋ผ์˜(Lasso) ๋ž€? ์‚ฌ์ „ ์ง€์‹ 1.๋‹จ์ˆœ ์„ ํ˜•ํšŒ๊ท€ ๋‹จ ํ•˜๋‚˜์˜ ํŠน์„ฑ(feature)์„ ๊ฐ€์ง€๊ณ  ๋ผ๋ฒจ๊ฐ’(label) ๋˜๋Š” ํƒ€๊นƒ(target)์„ ์˜ˆ์ธกํ•˜๊ธฐ ์œ„ํ•œ ํšŒ๊ท€ ๋ชจ๋ธ์„ ์ฐพ๋Š” ๊ฒƒ = scattor plot์—์„œ ํŠน์„ฑ x ์™€ ๋ผ๋ฒจ๊ฐ’ y ์‚ฌ์ด์˜ ๊ด€๊ณ„๋ฅผ ์„ค๋ช…ํ•  ์ˆ˜ ์žˆ๋Š” '์„ '์„ ์ฐพ๋Š” ๊ฒƒ = ์ตœ๋Œ€ํ•œ ํŠน์„ฑ๊ณผ ๋ผ๋ฒจ๊ฐ’์˜ ๊ด€๊ณ„๋ฅผ ๊ฐ€์žฅ ์ž˜ ์„ค๋ช…ํ•ด์ค„ ์ˆ˜ ์žˆ๋Š” ์ผ์ฐจํ•จ์ˆ˜์‹์„ ์ฐพ์•„๋‚ด๋Š” ๊ฒƒ = ์ƒˆ๋กœ์šด ๋ฐ์ดํ„ฐ์˜ ํŠน์„ฑ๊ฐ’์ด ์ฃผ์–ด์กŒ์„ ๋•Œ ๊ทธ์— ํ•ด๋‹นํ•˜๋Š” ๋ผ๋ฒจ๊ฐ’์„ ์˜ˆ์ธกํ•ด๋‚ผ ์ˆ˜ ์žˆ๋‹ค. y = w[0] * x[0] + b y : ์˜ˆ์ธก๊ฐ’ x[0] : ํŠน์„ฑ w[0] : ๊ฐ€์ค‘์น˜(weight) ๋˜๋Š” ๊ณ„์ˆ˜(coefficient) (์ผ์ฐจํ•จ์ˆ˜์—์„œ ๊ธฐ์šธ๊ธฐ) b : ํŽธํ–ฅ(offset) (์ผ์ฐจํ•จ์ˆ˜์—์„œ y์ ˆํŽธ) ์—ฌ๋Ÿฌ ๊ฐœ์˜ ์ƒ˜ํ”Œ๋“ค์˜ ํŠน์„ฑ๊ฐ’๋“ค๊ณผ ๋ผ๋ฒจ๊ฐ’๋“ค์„ ์ด์šฉํ•ด์„œ ๊ฐ€์žฅ ์ ํ•ฉํ•œ w[0] ์™€ b๋ฅผ..
[๋ถ„๋ฅ˜๋ชจ๋ธ ์„ฑ๋Šฅํ‰๊ฐ€์ง€ํ‘œ] Accuracy, Precision, Recall, F1 score ๊ฐœ๋… ์ •๋ฆฌ
ML/ML [๋ถ„๋ฅ˜๋ชจ๋ธ ์„ฑ๋Šฅํ‰๊ฐ€์ง€ํ‘œ] Accuracy, Precision, Recall, F1 score ๊ฐœ๋… ์ •๋ฆฌ ์ด์ง„๋ถ„๋ฅ˜ ๋ฌธ์ œ์—์„œ True์™€ False๋กœ ๋‚˜๋ˆ ์ง„ ๋ฐ์ดํ„ฐ๊ฐ€ ์กด์žฌํ•œ๋‹ค. ์˜ˆ์ธก๋˜๋Š” ์˜์—ญ์„ ๋ณด์—ฌ์ฃผ๋Š”๊ฒŒ ์ค‘๊ฐ„ ์„ ์ด๊ณ , ์ •๋‹ต์ด Positive์ธ๋ฐ, Positive์œผ๋กœ ์ œ๋Œ€๋กœ ๋ถ„๋ฅ˜ ๋œ ๊ฒƒ์€ True Positive (TP) ์ •๋‹ต์ด Negative์ธ๋ฐ Negative์œผ๋กœ ์ œ๋Œ€๋กœ ๋ถ„๋ฅ˜ ๋œ ๊ฒƒ์€ True Negative (TN) ์ •๋‹ต์ด Positive์ธ๋ฐ Negative์œผ๋กœ ์ž˜๋ชป ๋ถ„๋ฅ˜ ๋œ ๊ฒƒ์€ False Negative (FN) ์ •๋‹ต์ด Negative์ธ๋ฐ Positive์œผ๋กœ ์ž˜๋ชป ๋ถ„๋ฅ˜ ๋œ ๊ฒƒ์€ False Positive (FP) Accuracy๋Š” ์ „์ฒด ๋ฐ์ดํ„ฐ์ค‘์—์„œ, ์ œ๋Œ€๋กœ ๋ถ„๋ฅ˜๋œ ๋ฐ์ดํ„ฐ์˜ ๋น„์œจ Precision์€ Positive์œผ๋กœ ๋ถ„๋ฅ˜๋œ ๋ฐ์ดํ„ฐ๋“ค ์ค‘, ์ •๋‹ต์ด Positive ์˜€๋˜ ๋ฐ์ดํ„ฐ์˜ ๋น„์œจ Recall์€ ์ •๋‹ต์ด P..
Lecture 22: Diagonalization and powers of A
ML/์„ ํ˜•๋Œ€์ˆ˜ Lecture 22: Diagonalization and powers of A ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/video-lectures/lecture-22-diagonalization-and-powers-of-a/ Lecture 22: Diagonalization and powers of A | Video Lectures | Linear Algebra | Mathematics | MIT OpenCourseWare ocw.mit.edu
Lecture 21: Eigenvalues and eigenvectors
ML/์„ ํ˜•๋Œ€์ˆ˜ Lecture 21: Eigenvalues and eigenvectors ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/video-lectures/lecture-21-eigenvalues-and-eigenvectors/ Lecture 21: Eigenvalues and eigenvectors | Video Lectures | Linear Algebra | Mathematics | MIT OpenCourseWare ocw.mit.edu
Lecture 20: Cramer's rule, inverse matrix, and volume
ML/์„ ํ˜•๋Œ€์ˆ˜ Lecture 20: Cramer's rule, inverse matrix, and volume ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/video-lectures/lecture-20-cramers-rule-inverse-matrix-and-volume/ Lecture 20: Cramer's rule, inverse matrix, and volume | Video Lectures | Linear Algebra | Mathematics | MIT OpenCourseWare ocw.mit.edu

ํ‹ฐ์Šคํ† ๋ฆฌํˆด๋ฐ”