EP2 | 商業決策神器: 因果推論 (Causal Inference) ft. KO from CuboAi

from 數創實驗室 - AI時代的學習指南 · host Vincent在數創

#### 本期簡介 KO是一位在AIOT領域有著豐富經驗的數據團隊主管，本期訪問中，他將分享一項應用甚廣的研究方法「因果推論 (Causal Inference)」，並聊聊這系列方法的原理與應用場景。 *** CuboAI招募中! *** : CuboAi 智慧寶寶攝影機_雲云科技股份有限公司｜徵才中－104人力銀行 #### 關於主持人 Vincent Chen (www.linkedin.com/in/hsiang-hao-chen-53443593) 數創智能 / 數創實驗室創始人, Podcast播客主理人美國財星500強電商大廠 | 數據團隊主管台灣零售行業上市公司 | 資料技術處處長 AI & 大數據跨國經驗10年+ | 跨國反欺詐 | 智能行銷 & 推薦系統英國全球百大 Data Science & 台灣交大MBA雙碩士 #### 嘉賓 KO, CuboAI DS&BI Manager, ex-阿福管家 Data Team Lead #### 相關連結 LINE社群入群連結 : https://bit.ly/3TU9K0I 數創實驗室官網 : https://datainnolab.ai 聯繫數創實驗室 : [email protected] #### 內容大綱 00:35 開始聊聊因果推論 02:33 有些場景做不了A/B Test 04:17 實驗型跟觀察型研究的差別 07:08 利用Matching補足前後對比型研究的缺點 (pre/post analysis) 08:43 方法分享 : Propensity Score Matching 13:00 我們都在充滿噪音的世界求知求真 14:20 相關性不代表因果關係，怎麼辦? 16:21 因果推論的使用限制 17:37 做研究的人，必須不疑處有疑 19:32 借鑑實證醫學的證據等級 20:54 想學習因果推論，該怎麼開始?

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EP2 | 商業決策神器: 因果推論 (Causal Inference) ft. KO from CuboAi

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