TaeTrix

https://medium.com/intuitionmath/what-is-column-space-with-a-machine-learning-example-8f8a8d4ec6c What is column space? (with a Machine Learning example) When people say vector space, column space, subspace, etc., what do they mean by “SPACE”? medium.com calculs만으로 회귀분석을 바라봤겠지만 선형대수학을 통해 우리는 geomtric관점으로 직관적으로 이해할 수 있었다. 선형대수학이 행렬을 통해 다차워의 변수들을 다루는것도 장점이지만 더 중요하게 생각하는 것은 바로 그림으로 이해할 수 있게하는 것 whe..

https://www.statology.org/linear-discriminant-analysis-in-r/ Linear Discriminant Analysis in R (Step-by-Step) This tutorial explains how to perform linear discriminant analysis in R, including a step-by-step example. www.statology.org https://www.statology.org/quadratic-discriminant-analysis-in-r/ Quadratic Discriminant Analysis in R (Step-by-Step) This tutorial explains how to perform quadratic..

https://www.statology.org/principal-components-regression-in-r/ Principal Components Regression in R (Step-by-Step) This tutorial explains how to perform principal components regression in R, including a step-by-step example. www.statology.org

https://medium.com/@leihua-ye/why-data-scientists-should-learn-causal-inference-a70c4ffb4809 Why Data Scientists Should Learn Causal Inference Climb up the ladder of causation leihua-ye.medium.com

https://arunaddagatla.medium.com/maximum-likelihood-estimation-in-logistic-regression-f86ff1627b67 Maximum Likelihood Estimation in Logistic Regression The Maximum Likelihood Estimation (MLE) is a method of estimating the parameters of a logistic regression model. arunaddagatla.medium.com

https://stats.stackexchange.com/questions/2691/making-sense-of-principal-component-analysis-eigenvectors-eigenvalues/140579#140579 Making sense of principal component analysis, eigenvectors & eigenvalues In today's pattern recognition class my professor talked about PCA, eigenvectors and eigenvalues. I understood the mathematics of it. If I'm asked to find eigenvalues etc. I'll do it correctly l..