Understanding 5 6 Dimensionality Reduction Introduction 12 01
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- Fit for purpose data store for AI workloads → https://ibm.biz/BdmLTX Discover how Principal Component Analysis (
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- machine learning - Dimensionality Reduction Lesson 5 Exploratory Factor Analysis 1
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This video is part of the Udacity course " Brilliant 20% off: http://brilliant.org/DeepFindr/ ▭▭ Papers / Resources ▭▭▭ Intro to Dim. Why would we want to reduce the number of features ? And how do we do it ?
... 念 比 較 跟 剛 剛 講 的 就 是 我 們 盡 量 讓 它 投 影 之 後 變 數 越 大 越 好 ok 這 是 我 們 今 天 要 講 的 主 題 這 個 叫
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