ZhangZhihuiAAA - 博客园

Machine Learning - Regularization: LASSO Regression

摘要： LASSO regression (short for Least Absolute Shrinkage and Selection Operator) is a type of linear regression that performs both regularization and feat 阅读全文

posted @ 2025-07-13 15:50 ZhangZhihuiAAA 阅读(26) 评论(0) 推荐(0)

Machine Learning - Regularization: Ridge Regression

摘要： Ridge Regression is a type of linear regression that includes a regularization term to prevent overfitting. It’s particularly useful when dealing with 阅读全文

posted @ 2025-07-13 07:33 ZhangZhihuiAAA 阅读(20) 评论(0) 推荐(0)

Statistics - Chi-square Test

摘要： The Chi-square test (also written as χ² test) is a statistical hypothesis test used to determine whether there is a significant association between tw 阅读全文

posted @ 2025-07-12 18:06 ZhangZhihuiAAA 阅读(17) 评论(0) 推荐(0)

Machine Learning - Odds Ratio and Log(Odds Ratio)

摘要： Chi-square Test 阅读全文

posted @ 2025-07-12 17:30 ZhangZhihuiAAA 阅读(4) 评论(0) 推荐(0)

Statistics - Fisher's Exact Test

摘要： Fisher's Exact Test is a statistical significance test used to determine whether there is a nonrandom association between two categorical variables, t 阅读全文

posted @ 2025-07-12 11:41 ZhangZhihuiAAA 阅读(25) 评论(0) 推荐(0)

Machine Learning - Odds and Log(Odds)

摘要： (50, 50), (40, 60), (70, 30), (20, 80), (90, 10),, ......, log them, draw a histogram 阅读全文

posted @ 2025-07-12 09:04 ZhangZhihuiAAA 阅读(8) 评论(0) 推荐(0)

Machine Learning - Design Matrices for Linear Models

摘要：阅读全文

posted @ 2025-07-11 18:23 ZhangZhihuiAAA 阅读(7) 评论(0) 推荐(0)

Machine Learning - Using Linear Models for t-tests and ANOVA

摘要： A t-test is a statistical test used to determine whether there is a significant difference between the means of two groups. It helps answer questions 阅读全文

posted @ 2025-07-11 15:04 ZhangZhihuiAAA 阅读(13) 评论(0) 推荐(0)

Machine Learning - Linear Regression

摘要：阅读全文

posted @ 2025-07-11 08:16 ZhangZhihuiAAA 阅读(8) 评论(0) 推荐(0)

Machine Learning - Fitting a line to data

摘要：阅读全文

posted @ 2025-07-11 07:58 ZhangZhihuiAAA 阅读(8) 评论(0) 推荐(0)

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2025年7月13日

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