R 공부한 부분들을 정리해보았습니다.
1. Introduction 1. 1. Orange Juice(OJ) data 1. 2. Methods and functions 1. 3. Evaluate performance 2. Modeling 2. 1. Logistic regression 2. 2. Linear discriminant analysis 2. 3. Quadratic discriminant analysis 2. 4. k-Nearest neighbor 2. 5. Generalized additive models 2. 6. Classification trees 2. 7. Random forest 2. 8. Support vector machine 3. Conclusion 3. 1. Comparison Test MSE 3. 2. Summary..
1. Talyor expansion 2. taylor() function 2. 1. \(\log(x+1)\) 2. 1. \(e^{x}\) 이번 포스팅은 제가 학교에서 진행했던 수업자료의 일부로 R을 활용하여 테일러 전개를 하는 방법에 대해 간략하게 소개해드리겠습니다. 1. Talyor expansion \[f(x) = \sum^\infty_{n=0} \frac{f^{(n)}(x_{0})}{n!}(x-x_{0})^{n} = f(x_{0})+f^{`}(x_{0})(x-x_{0}) + \frac{1}{2}f^{``}(x_{0})(x-x_{0})^{2} + \frac{1}{3!}f^{```}(x_{0})(x-x_{0})^{3}+...\] 미적분학에서, 테일러 급수는 도함수들의 한 점에서의 값으로 계산된 항의 무..
1. Mathematical functions 1. 1. Logarithmic functions, Exponential functions 1. 2. Trigonometric function 1. 3. Polynomial functions 1. 4. Basic mathematical operator in R 2. Differentiation 2. 1. Basic differential formula 2. 2. Multiplication rule for differentiation 2. 3. Chain rule for differentiation 2. 4. Partial differentiation 3. Calculate derivatives using R function 3. 1. D function 3...