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  • Python機器學習經典實例
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    圖靈程序設計叢書

    Python機器學習經典實例

    Prateek Joshi (作者) 陶俊杰 , 陳小莉 (譯者)
    監督學習技術、預測建模、無監督學習算法等前沿話題的實例代碼展示
    來自Kaggle的經典數據集和機器學習案例
    用流行的Python庫scikit-learn解決機器學習問題
    在如今這個處處以數據驅動的世界中,機器學習正變得越來越大眾化。它已經被廣泛地應用于不同領域,如搜索引擎、機器人、無人駕駛汽車等。本書首先通過實用的案例介紹機器學習的基礎知識,然后介紹一些稍微復雜的機器學習算法,例如支持向量機、極端隨機森林、隱馬爾可夫模型、條件隨機場、深度神經網絡,等等。

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    出版信息

    • 書  名Python機器學習經典實例
    • 系列書名圖靈程序設計叢書
    • 執行編輯關于本書的內容有任何問題,請聯系 傅志紅
    • 出版日期2017-08-17
    • 書  號978-7-115-46527-6
    • 定  價59.00 元
    • 頁  數244
    • 印刷方式單色
    • 開  本16開
    • 出版狀態上市銷售
    • 原書名Python Machine Learning Cookbook
    • 原書號9781786464477

    所屬分類

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    本書特色

    用最火的Python語言、通過各種各樣的機器學習算法來解決實際問題!
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    目錄

    版權聲明 閱讀
    譯者序 閱讀
    前言 閱讀
    第 1 章 監督學習 閱讀
    第 2 章 創建分類器
    第 3 章 預測建模
    第 4 章 無監督學習——聚類
    第 5 章 構建推薦引擎
    第 6 章 分析文本數據
    第 7 章 語音識別
    第 8 章 解剖時間序列和時序數據
    第 9 章 圖像內容分析
    第 10 章 人臉識別
    第 11 章 深度神經網絡
    第 12 章 可視化數據

    作者介紹

    Prateek Joshi 人工智能專家,重點關注基于內容的分析和深度學習,曾在英偉達、微軟研究院、高通公司以及硅谷的幾家早期創業公司任職。個人博客地址: www.prateekj.com

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