EP6 | 如何避免被AI取代? 幫數據分析師/科學家趨吉避凶 (下)

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

#### 本期簡介隨著生成式AI的持續發展，數據分析師跟資料科學家的角色將會發生明顯的轉變。目前這兩個職業的從業者，應如何強化自身能力，面對未來變革? 承上期節目，我們來談談極具重要性的「領域知識」與「軟技能」。 #### 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 #### 相關連結 Google Cloud Event : Supercharge your data analytics with Gemini in BigQuery (youtube.com) New Feature "Insights" : Automated data insight discovery (youtube.com) Matt Garman : It's possible that most developers are not coding 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 00:50 兩項重要硬技能 : Prompting (提示詞) & 原理性知識 01:36 從Google Cloud工具演進，看Prompting重要性 04:06 AI將無處不在，Prompting 將成普適性技能 05:00 用英文進行Promting，效果更好 05:40 何謂原理性知識 06:21 舉例統計學的原理性知識 07:27 舉例機器學習的原理性知識 09:20 對編程能力的要求將有變化 12:02 本期總結

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EP6 | 如何避免被AI取代? 幫數據分析師/科學家趨吉避凶 (下)

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