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在svm matlab這個產品中，有1篇Facebook貼文，粉絲數超過6,329的網紅工研院巨量資訊科技中心 - ITRI，也在其Facebook貼文中提到， 熟悉機器學習 (machine learning) 領域的同好，一定知道在眾多 supervised learning models 中廣為人知的 SVM (support vector machine)。要使用 SVM 來做分類，不論你是使用 Java, C++, Python, R, Matl...

svm matlab 在 工研院巨量資訊科技中心 - ITRI Facebook 的最佳貼文

工研院巨量資訊科技中心 - ITRI By 工研院巨量資訊科技中心 - ITRI

2014-06-05 01:01:52 有 18 人按讚
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熟悉機器學習 (machine learning) 領域的同好，一定知道在眾多 supervised learning models 中廣為人知的 SVM (support vector machine)。要使用 SVM 來做分類，不論你是使用 Java, C++, Python, R, Matlab, Perl, 或甚至是 OCaml, 你很可能正在使用 LIBSVM 這套 SVM 的實作程式庫。

我們非常榮幸邀請到 LIBSVM 的作者台大資工林智仁教授來擔任年會的 keynote speaker，林教授將分享他開發機器學習演算法以及應用機器學習在現實生活中涉及大數據的許多有趣但困難的問題。

大師現身說法的機會難得一見，請記得注意年會的開放報名時間，以免因名額有限而向隅。:)

http://twconf.data-sci.org/speaker/#cjlin

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工研院巨量資訊科技中心 - ITRI

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巨量資料已成為全球資訊及服務的新趨勢，資產價值從過去有形轉變至無形，「資料」儼然成為企業最重要的資產之一，「資料」將成為資訊經濟時代的新石油。面對全球化的國際競爭，巨量資料分析將對未來我國產業產生優化，台灣長期以硬體組裝與生產為主，巨量資料分析技術將可強化我國在製造業，以及服務業的競爭力。 巨資中心的成立任務有二，其一是建立智慧分析技術，協助資訊軟體業建立知識經濟核心能力；其二，是切入智慧分析應用，協助相關產業提昇生產力、創造新商機。巨資中心執行的策略將是善用工研院跨領域整合之優勢，選擇台灣具獨特優勢之應用領域切入；並結合Social, Local, Mobile、智慧聯網 （Internet of Things；IOT）、開放源碼（Open Source）、開放資料（Open Data）等重要趨勢，與國內外產學研合作，加速帶動技術與產業的發展。 巨資中心技術核心能量將涵蓋跨領域的需求，提供產業所需的智慧分析與機器學習演算法等核心技術，建構巨量資料及開放資料分析應用所需之運算平台，以巨量資料之創新應用情境來進行服務設計與商業模式，提供全方位的巨量資料解決方案。
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svm matlab 在 How to apply SVM model to new data using libsvm in MATLAB? 的推薦與評價

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