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在rbf kernel python這個產品中，有1篇Facebook貼文，粉絲數超過5萬的網紅軟體開發學習資訊分享，也在其Facebook貼文中提到， --課程已於 2020 年 6 月更新-- 在本課程中，將採用一種非常有條理的、一步一步的方法來建立您所需要的所有理論，以瞭解支援向量機是如何真正運作的。 講師將使用邏輯迴歸( Logistic Regression )作為起點，這是你作為一名機器學習的學生學到的第一件事情。 因此，如果你想理...

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rbf kernel python 在 軟體開發學習資訊分享 Facebook 的最讚貼文

軟體開發學習資訊分享 By 軟體開發學習資訊分享

2020-07-06 15:30:04 有 2 人按讚
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--課程已於 2020 年 6 月更新--

在本課程中，將採用一種非常有條理的、一步一步的方法來建立您所需要的所有理論，以瞭解支援向量機是如何真正運作的。

講師將使用邏輯迴歸( Logistic Regression )作為起點，這是你作為一名機器學習的學生學到的第一件事情。 因此，如果你想理解這門課程，只需要對邏輯迴歸(有一個好的直覺，並通過擴充套件，對直線、平面和超平面的幾何學有一個好的理解。

從這 9 小時的課程，你會學到

✅ 將支援向量機( SVMs )應用於實際應用程式: 影象辨識、垃圾郵件檢測、醫療診斷和迴歸分析( regression analysis )

✅ 從頭開始(基本幾何)理解支援向量機背後的理論

✅ 利用拉格朗日對偶(Lagrangian Duality)推導核心支援向量機

✅ 理解二次規劃( Quadratic Programming )是如何應用到支援向量機

✅ 支援向量迴歸

✅ Polynomial Kernel,，Gaussian Kernel，和 Sigmoid Kernel

✅ 基於支援向量機建立自己的 RBF 網路和其它神經網路

https://softnshare.com/support-vector-machines-in-python/

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An Automatic Method for Selecting the Parameter of the Normalized Kernel Function to Support Vector Machines. Journal of Information Science ... ... <看更多>

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