摘要: Google Finance no longer provides data for historical prices or financial statements, so we say goodbye to getSymbols.google() and getFinancials.google(). (#221) They are now defunct as of quantmod 0.4-13.

摘要: In this second article on adversarial validation we get to the meat of the matter: what we can do when train and test sets differ. Will we be able to make a better validation set?

摘要: Many data science competitions suffer from a test set being markedly different from a training set (a violation of the “identically distributed” assumption). It is then difficult to make a representative validation set. We propose a method for selecting training examples most similar to test examples and using them as a validation set. The core of this idea is training a probabilistic classifier to distinguish train/test examples.

摘要: 我們在處理資料時,為了萃取資料的重要資訊常常會使用主成份分析,不過有時候卻難以解釋主成分分析的結果與成因。此篇教導了主成份分析的視覺化方法,可以有效地幫助我們了解並給予主成份分析背後的意義

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