資源簡介
鄒博老師小象學院機器學習課程全套課件,很全面,一共24課。對于新入門機器學習的同學應該比較有幫助。
代碼片段和文件信息
?屬性????????????大小?????日期????時間???名稱
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?????文件????6204676??2017-10-02?12:14??課件\1.機器學習與數學分析.pdf
?????文件????1547864??2017-10-02?12:26??課件\10.決策樹和隨機森林實踐.pdf
?????文件????1761297??2017-10-02?12:16??課件\11.提升.pdf
?????文件????1451995??2017-10-02?12:16??課件\12.XGBoost實踐.pdf
?????文件????2447339??2017-10-02?12:17??課件\13.SVM.pdf
?????文件????1943244??2017-10-02?12:17??課件\14.SVM實踐.pdf
?????文件????6910002??2017-10-02?12:19??課件\15.聚類.pdf
?????文件????2076808??2017-10-02?12:17??課件\16.聚類實踐.pdf
?????文件????1846625??2017-10-02?12:18??課件\17.EM算法.pdf
?????文件????1701159??2017-10-02?12:19??課件\18.EM算法實踐.pdf
?????文件????3505753??2017-10-02?12:20??課件\19.貝葉斯網絡.pdf
?????文件????4146448??2017-10-02?12:21??課件\2.概率論與貝葉斯先驗.pdf
?????文件????1476865??2017-10-02?12:20??課件\20.貝葉斯網絡實踐.pdf
?????文件????2817822??2017-10-02?12:21??課件\21.主題模型.pdf
?????文件????2510707??2017-10-02?12:21??課件\22.主題模型實踐.pdf
?????文件????1789863??2017-10-02?12:22??課件\23.HMM.pdf
?????文件????2855432??2017-10-02?12:23??課件\24.HMM實踐.pdf
?????文件????2364374??2017-10-02?12:23??課件\3.矩陣和線性代數.pdf
?????文件????1533582??2017-10-02?12:22??課件\4.Python基礎.pdf
?????文件????4401223??2017-10-02?12:24??課件\5.Python庫.pdf
?????文件????2222182??2017-10-02?12:24??課件\6.數據清洗和特征選擇.pdf
?????文件????4401767??2017-10-02?12:25??課件\7.回歸.pdf
?????文件????2915778??2017-10-02?12:25??課件\8.回歸實踐.pdf
?????文件????2825455??2017-10-02?12:25??課件\9.決策樹和隨機森林.pdf
?????文件????7197978??2017-10-02?12:26??課件\機器學習應用實驗手冊.pdf
?????目錄??????????0??2017-10-03?16:36??課件
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?????????????74856238????????????????????26
-----------?---------??----------?-----??----
?????文件????6204676??2017-10-02?12:14??課件\1.機器學習與數學分析.pdf
?????文件????1547864??2017-10-02?12:26??課件\10.決策樹和隨機森林實踐.pdf
?????文件????1761297??2017-10-02?12:16??課件\11.提升.pdf
?????文件????1451995??2017-10-02?12:16??課件\12.XGBoost實踐.pdf
?????文件????2447339??2017-10-02?12:17??課件\13.SVM.pdf
?????文件????1943244??2017-10-02?12:17??課件\14.SVM實踐.pdf
?????文件????6910002??2017-10-02?12:19??課件\15.聚類.pdf
?????文件????2076808??2017-10-02?12:17??課件\16.聚類實踐.pdf
?????文件????1846625??2017-10-02?12:18??課件\17.EM算法.pdf
?????文件????1701159??2017-10-02?12:19??課件\18.EM算法實踐.pdf
?????文件????3505753??2017-10-02?12:20??課件\19.貝葉斯網絡.pdf
?????文件????4146448??2017-10-02?12:21??課件\2.概率論與貝葉斯先驗.pdf
?????文件????1476865??2017-10-02?12:20??課件\20.貝葉斯網絡實踐.pdf
?????文件????2817822??2017-10-02?12:21??課件\21.主題模型.pdf
?????文件????2510707??2017-10-02?12:21??課件\22.主題模型實踐.pdf
?????文件????1789863??2017-10-02?12:22??課件\23.HMM.pdf
?????文件????2855432??2017-10-02?12:23??課件\24.HMM實踐.pdf
?????文件????2364374??2017-10-02?12:23??課件\3.矩陣和線性代數.pdf
?????文件????1533582??2017-10-02?12:22??課件\4.Python基礎.pdf
?????文件????4401223??2017-10-02?12:24??課件\5.Python庫.pdf
?????文件????2222182??2017-10-02?12:24??課件\6.數據清洗和特征選擇.pdf
?????文件????4401767??2017-10-02?12:25??課件\7.回歸.pdf
?????文件????2915778??2017-10-02?12:25??課件\8.回歸實踐.pdf
?????文件????2825455??2017-10-02?12:25??課件\9.決策樹和隨機森林.pdf
?????文件????7197978??2017-10-02?12:26??課件\機器學習應用實驗手冊.pdf
?????目錄??????????0??2017-10-03?16:36??課件
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?????????????74856238????????????????????26
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