部署具模型可解釋性的 AutoML
TIBCO 與位於台灣的台北 Women Who Code 非營利組織攜手合作,介紹如何部署具模型可解釋性的 autoML。
機器學習模型在詐騙偵測、客戶流失率、預測維護等許多企業問題方面均扮演要角。了解自動化機器學習 (autoML) 如何快速展開流程,同時仍可運用模型可解釋性提供透明度。我們會概述多項最新 autoML 技術,包括運用文字變數並說明這些對您的模型帶來何種影響。
TIBCO 與位於台灣的台北 Women Who Code 非營利組織攜手合作,介紹如何部署具模型可解釋性的 autoML。
機器學習模型在詐騙偵測、客戶流失率、預測維護等許多企業問題方面均扮演要角。了解自動化機器學習 (autoML) 如何快速展開流程,同時仍可運用模型可解釋性提供透明度。我們會概述多項最新 autoML 技術,包括運用文字變數並說明這些對您的模型帶來何種影響。
Jingchuan Lin
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