KOOC/DataScience Programming10 Machine Learning Frameworks <7-1> >Problems of Linear Regression InferenceGradient CalculationProblems of Linear Regression Inference 2024.05.25 - [KOOC/DataScience Programming] - Linear Regression Advanced " data-og-description=">Multivariate Linear Regression Least Square Principle of MultipleEvaluate of Multiple (Cross Validation) Multivariate Linear Regression2024.05.22 - [KOOC/DataScience Programming] - Linear Regression Ba.. 2024. 6. 2. Linear Regression Advanced <6-2> >Variable SelectionInforamtion CriterionStepwise Feature SelectionVariable Selection 2024.05.25 - [KOOC/DataScience Programming] - Linear Regression Advanced " data-og-description=">Multivariate Linear Regression Least Square Principle of MultipleEvaluate of Multiple (Cross Validation) Multivariate Linear Regression2024.05.22 - [KOOC/DataScience Programming] - Linear Regression Basic " data-og-d.. 2024. 5. 25. Linear Regression Advanced <6-1> >Multivariate Linear Regression Least Square Principle of MultipleEvaluate of Multiple (Cross Validation) Multivariate Linear Regression2024.05.22 - [KOOC/DataScience Programming] - Linear Regression Basic " data-og-description=">Deterministic RelationEstimate of beta ( Least Square Principle )Evaluate of beta(R-Square)Deterministic Relation 2024.05.19 - [KOOC/DataScience Programming] - Multivar.. 2024. 5. 25. Linear Regression Basic <5-1> >Deterministic RelationEstimate of beta ( Least Square Principle )Evaluate of beta(R-Square)Deterministic Relation 2024.05.19 - [KOOC/DataScience Programming] - Multivariate Gaussian Distribution and Covariance" data-og-description=">Multivariate Gaussian DistributionCovariance matrixPearson CorrelationSpearman CorrelationMultivariate Gaussian Distribution 앞에서 특정 데이터의 분포를 fit 하기 위해 파라미터를 추정하는 과.. 2024. 5. 22. 이전 1 2 3 다음 반응형