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吳恩達：機器學習的六個核心算法！**
人工智能領域的權威吳恩達教授，在其創立的《The Batch》週報中發表了一篇博文，概述了機器學習領域六種基礎算法的歷史和重要性。他強調了在這一領域不斷學習和更新知識的必要性。這些算法包括線性迴歸、邏輯迴歸、梯度下降、神經網絡、決策樹和 k 均值聚類算法，它們是機器學習進步的基石。本文將進一步探討這些算法的背景、原理、優缺點及應用場景。線性迴歸背景：線性迴歸是最古老也是最簡單的迴歸算法之一，其歷史 ⌘ Read more