{"id":10824,"date":"2026-09-22T06:00:00","date_gmt":"2026-09-21T21:00:00","guid":{"rendered":"https:\/\/triumphmind.com\/cfa\/2026\/09\/22\/cfa-l2-quants-lm7\/"},"modified":"2026-09-22T07:44:40","modified_gmt":"2026-09-21T22:44:40","slug":"cfa-l2-quants-lm7","status":"publish","type":"post","link":"https:\/\/triumphmind.com\/cfa\/2026\/09\/22\/cfa-l2-quants-lm7\/","title":{"rendered":"\u3010CFA\u00ae\ufe0e L2 Quants LM7\u3011Big Data Projects \u3092\u8981\u70b9\u89e3\u8aac\uff5c\u30c7\u30fc\u30bf\u524d\u51e6\u7406\u30fb\u30c6\u30ad\u30b9\u30c8\u5206\u6790\u30fb\u7279\u5fb4\u91cf\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0\u30fb\u30e2\u30c7\u30eb\u8a55\u4fa1"},"content":{"rendered":"<style>\n.cfalm-los{counter-reset:los;list-style:none;padding:0!important;margin:1em 0!important}\n.cfalm-los li{border:1px solid #d5d9e3;border-left:4px solid #172152;border-radius:4px;padding:.8em 1em!important;margin:0 0 .8em!important;background:#fff}\n.cfalm-los li::before{display:none!important;content:none!important}\n.cfalm-los .ja{display:block;font-weight:bold;color:#172152;line-height:1.6}\n.cfalm-los .en{display:block;font-size:.85em;color:#667;margin-top:.3em;line-height:1.5;word-break:normal!important;overflow-wrap:anywhere}\n.cfalm-sum{background:#f6f7fb;border-radius:6px;padding:1em 1.2em!important;margin:1em 0!important;list-style:none!important}\n.cfalm-sum li{position:relative;margin:.4em 0!important;padding:0 0 0 1.1em!important;line-height:1.7;list-style:none!important}.cfalm-sum li::before{content:\"\"!important;display:block!important;position:absolute!important;left:0!important;top:.7em!important;width:6px!important;height:6px!important;border-radius:50%!important;background:#172152!important;border:none!important;transform:none!important}\n.cfalm-f{background:#f6f7fb;border-left:4px solid #172152;padding:.7em 1em;margin:.8em 0;font-family:\"Menlo\",\"Consolas\",monospace;font-size:.95em;overflow-x:auto}\n.cfalm-nav{background:#f6f7fb;padding:1em 1.2em;border-radius:6px;margin:1em 0;word-break:normal;overflow-wrap:anywhere}\n<\/style>\n<div class=\"box05\">\n<p>Learning Module 7\u300cBig Data Projects\uff08\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u30fb\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\uff09\u300d\u306f\u3001\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u3092\u4f7f\u3063\u305f\u6a5f\u68b0\u5b66\u7fd2\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306e\u624b\u9806\u3001\u69cb\u9020\u5316\u30c7\u30fc\u30bf\u3068\u30c6\u30ad\u30b9\u30c8\u30fb\u30c7\u30fc\u30bf\u306e\u6e96\u5099\u30fb\u6574\u5f62\u30fb\u63a2\u7d22\u3001\u7279\u5fb4\u91cf\u306e\u62bd\u51fa\u3068\u9078\u629e\u3001\u305d\u3057\u3066\u6df7\u540c\u884c\u5217\u30fbROC \u66f2\u7dda\u30fbRMSE \u306b\u3088\u308b\u30e2\u30c7\u30eb\u306e\u8a13\u7df4\u3068\u8a55\u4fa1\u3092\u6271\u3046\u5358\u5143\u3067\u3059\u3002<\/p>\n<p>\u672c\u8a18\u4e8b\u3067\u306f\u3001\u6700\u65b0\u7248\u30ab\u30ea\u30ad\u30e5\u30e9\u30e0\u306eLOS\uff08Learning Outcome Statement\uff09\u3068\u3001\u3053\u306e\u5358\u5143\u306e\u91cd\u8981\u8ad6\u70b9\u3092\u65e5\u672c\u8a9e\u3067\u6574\u7406\u3057\u307e\u3057\u305f\u3002<\/p>\n<\/div>\n<h2>LM7\u306eLOS\uff08\u5b66\u7fd2\u76ee\u6a19\uff09<\/h2>\n<p>LOS\u306f\u3001\u3053\u306e\u5358\u5143\u3067\u300c\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308b\u3079\u304d\u3053\u3068\u300d\u3068\u3057\u3066\u793a\u3055\u308c\u3066\u3044\u308b\u5b66\u7fd2\u76ee\u6a19\u3067\u3059\u3002LM7\u306b\u306f7\u3064\u306eLOS\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<ol class=\"cfalm-los\">\n<li><span class=\"ja\">LOS 1\uff1a\u30c7\u30fc\u30bf\u5206\u6790\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306e\u624b\u9806\u3092\u7279\u5b9a\u30fb\u8aac\u660e\u3059\u308b<\/span><span class=\"en\">identify and explain steps in a data analysis project<\/span><\/li>\n<li><span class=\"ja\">LOS 2\uff1a\u30c7\u30fc\u30bf\u306e\u6e96\u5099\u30fb\u6574\u5f62\uff08\u30e9\u30f3\u30b0\u30ea\u30f3\u30b0\uff09\u306e\u76ee\u7684\u3001\u624b\u9806\u3001\u4e8b\u4f8b\u3092\u8aac\u660e\u3059\u308b<\/span><span class=\"en\">describe objectives, steps, and examples of preparing and wrangling data<\/span><\/li>\n<li><span class=\"ja\">LOS 3\uff1a\u6a5f\u68b0\u5b66\u7fd2\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u5f53\u3066\u306f\u307e\u308a\u3092\u8a55\u4fa1\u3059\u308b<\/span><span class=\"en\">evaluate the fit of a machine learning algorithm<\/span><\/li>\n<li><span class=\"ja\">LOS 4\uff1a\u30c7\u30fc\u30bf\u63a2\u7d22\u306e\u76ee\u7684\u3001\u65b9\u6cd5\u3001\u4e8b\u4f8b\u3092\u8aac\u660e\u3059\u308b<\/span><span class=\"en\">describe objectives, methods, and examples of data exploration<\/span><\/li>\n<li><span class=\"ja\">LOS 5\uff1a\u30c6\u30ad\u30b9\u30c8\u30fb\u30c7\u30fc\u30bf\u304b\u3089\u7279\u5fb4\u91cf\u3092\u62bd\u51fa\u30fb\u9078\u629e\u30fb\u4f5c\u6210\uff08\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0\uff09\u3059\u308b\u65b9\u6cd5\u3092\u8aac\u660e\u3059\u308b<\/span><span class=\"en\">describe methods for extracting, selecting and engineering features from textual data<\/span><\/li>\n<li><span class=\"ja\">LOS 6\uff1a\u30e2\u30c7\u30eb\u8a13\u7df4\u306e\u76ee\u7684\u3001\u624b\u9806\u3001\u624b\u6cd5\u3092\u8aac\u660e\u3059\u308b<\/span><span class=\"en\">describe objectives, steps, and techniques in model training<\/span><\/li>\n<li><span class=\"ja\">LOS 7\uff1a\u91d1\u878d\u4e88\u6e2c\u306e\u305f\u3081\u306e\u30c6\u30ad\u30b9\u30c8\u30fb\u30c7\u30fc\u30bf\u306e\u6e96\u5099\u30fb\u6574\u5f62\u30fb\u63a2\u7d22\u3092\u8aac\u660e\u3059\u308b<\/span><span class=\"en\">describe preparing, wrangling, and exploring text-based data for financial forecasting<\/span><\/li>\n<\/ol>\n<h2>LM7\u306e\u307e\u3068\u3081<\/h2>\n<p>\u3053\u306e\u5358\u5143\u306e\u8981\u70b9\u3092\u307e\u3068\u3081\u308b\u3068\u3001\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/p>\n<ul class=\"cfalm-sum\">\n<li>\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u306f\u91cf\uff08volume\uff09\u30fb\u901f\u5ea6\uff08velocity\uff09\u30fb\u591a\u69d8\u6027\uff08variety\uff09\u306b\u52a0\u3048\u3001\u6b63\u78ba\u6027\uff08veracity\uff09\u304c\u4f4e\u3044\u53ef\u80fd\u6027\u3092\u3082\u3064\u30c7\u30fc\u30bf\u3067\u3001\u6295\u8cc7\u904b\u7528\u3067\u3082\u6d3b\u7528\u304c\u9032\u3080<\/li>\n<li>\u5f93\u6765\u578b\u306e\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u69cb\u7bc9\u306f\u3001\u554f\u984c\u306e\u6982\u5ff5\u5316\u3001\u30c7\u30fc\u30bf\u53ce\u96c6\u3001\u30c7\u30fc\u30bf\u306e\u6e96\u5099\u3068\u6574\u5f62\u3001\u30c7\u30fc\u30bf\u63a2\u7d22\u3001\u30e2\u30c7\u30eb\u8a13\u7df4\u306e\u9806\u306b\u9032\u3080<\/li>\n<li>\u30c6\u30ad\u30b9\u30c8\u3092\u6271\u3046\u5834\u5408\u306f\u3001\u30c6\u30ad\u30b9\u30c8\u554f\u984c\u306e\u5b9a\u5f0f\u5316\u3001\u30c6\u30ad\u30b9\u30c8\u306e\u53ce\u96c6\uff08\u30ad\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\uff09\u3001\u30c6\u30ad\u30b9\u30c8\u306e\u6e96\u5099\u3068\u6574\u5f62\u3001\u30c6\u30ad\u30b9\u30c8\u63a2\u7d22\u304c\u524d\u6bb5\u306e\u624b\u9806\u306b\u306a\u308b<\/li>\n<li>\u69cb\u9020\u5316\u30c7\u30fc\u30bf\u306e\u6574\u5f62\u306f\u30c7\u30fc\u30bf\u30fb\u30af\u30ec\u30f3\u30b8\u30f3\u30b0\u3068\u524d\u51e6\u7406\u304b\u3089\u6210\u308a\u3001\u30c6\u30ad\u30b9\u30c8\u3067\u306f\u30bf\u30b0\u30fb\u53e5\u8aad\u70b9\u30fb\u6570\u5b57\u30fb\u7a7a\u767d\u306e\u9664\u53bb\u3068\u6b63\u898f\u5316\u3092\u884c\u3046<\/li>\n<li>\u30c7\u30fc\u30bf\u63a2\u7d22\u306f\u63a2\u7d22\u7684\u30c7\u30fc\u30bf\u5206\u6790\u30fb\u7279\u5fb4\u91cf\u9078\u629e\u30fb\u7279\u5fb4\u91cf\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0\u304b\u3089\u6210\u308a\u3001\u30c6\u30ad\u30b9\u30c8\u3067\u306f\u30ef\u30fc\u30c9\u30fb\u30af\u30e9\u30a6\u30c9\u306a\u3069\u3067\u5168\u4f53\u50cf\u3092\u3064\u304b\u3080<\/li>\n<li>\u30e2\u30c7\u30eb\u8a13\u7df4\u306f\u624b\u6cd5\u306e\u9078\u629e\u30fb\u6027\u80fd\u8a55\u4fa1\u30fb\u30c1\u30e5\u30fc\u30cb\u30f3\u30b0\u304b\u3089\u6210\u308a\u3001\u69cb\u9020\u5316\u30fb\u975e\u69cb\u9020\u5316\u30c7\u30fc\u30bf\u3067\u5927\u304d\u306a\u9055\u3044\u306f\u306a\u3044<\/li>\n<li>\u6027\u80fd\u8a55\u4fa1\u306b\u306f\u6df7\u540c\u884c\u5217\u306b\u3088\u308b\u8aa4\u5dee\u5206\u6790\u3001ROC \u5206\u6790\u3001RMSE \u3092\u7528\u3044\u308b<\/li>\n<li>\u30c1\u30e5\u30fc\u30cb\u30f3\u30b0\u3067\u306f\u30d0\u30a4\u30a2\u30b9\u8aa4\u5dee\uff08\u904e\u5c11\u9069\u5408\uff09\u3068\u5206\u6563\u8aa4\u5dee\uff08\u904e\u5b66\u7fd2\uff09\u306e\u30c8\u30ec\u30fc\u30c9\u30aa\u30d5\u3092\u9069\u5408\u66f2\u7dda\u3067\u7ba1\u7406\u3059\u308b<\/li>\n<\/ul>\n<p>\u4ee5\u4e0b\u3001LOS\u3054\u3068\u306b\u91cd\u8981\u8ad6\u70b9\u3092\u6574\u7406\u3057\u307e\u3059\u3002<\/p>\n<h3>LOS 1\uff1a\u30c7\u30fc\u30bf\u5206\u6790\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306e\u624b\u9806<\/h3>\n<p>\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u30fb\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306f\u3001<strong>\u554f\u984c\u306e\u6982\u5ff5\u5316\u2192\u30c7\u30fc\u30bf\u53ce\u96c6\u2192\u30c7\u30fc\u30bf\u306e\u6e96\u5099\u3068\u6574\u5f62\u2192\u30c7\u30fc\u30bf\u63a2\u7d22\u2192\u30e2\u30c7\u30eb\u8a13\u7df4<\/strong>\u306e\u6d41\u308c\u3067\u9032\u307f\u307e\u3059\u3002\u30c6\u30ad\u30b9\u30c8\u30fb\u30c7\u30fc\u30bf\u306e\u5834\u5408\u306f\u524d\u6bb5\u304c\u3001\u30c6\u30ad\u30b9\u30c8\u554f\u984c\u306e\u5b9a\u5f0f\u5316\u30fb\u30c6\u30ad\u30b9\u30c8\u306e\u53ce\u96c6\u30fb\u30c6\u30ad\u30b9\u30c8\u306e\u6e96\u5099\u3068\u6574\u5f62\u30fb\u30c6\u30ad\u30b9\u30c8\u63a2\u7d22\u306b\u7f6e\u304d\u63db\u308f\u308a\u307e\u3059\u3002<\/p>\n<ul>\n<li>\u6982\u5ff5\u5316\uff1a\u51fa\u529b\u3001\u5229\u7528\u8005\u3001\u65e2\u5b58\u696d\u52d9\u3078\u306e\u7d44\u307f\u8fbc\u307f\u65b9\u3092\u5b9a\u7fa9<\/li>\n<li>\u30c7\u30fc\u30bf\u53ce\u96c6\uff1a\u5185\u90e8\u30fb\u5916\u90e8\u30c7\u30fc\u30bf\u3001API \u3084\u30a6\u30a7\u30d6\u30fb\u30b9\u30af\u30ec\u30a4\u30d4\u30f3\u30b0<\/li>\n<li>\u69cb\u9020\u5316\u30c7\u30fc\u30bf\u3068\u975e\u69cb\u9020\u5316\u30c7\u30fc\u30bf\uff08\u30c6\u30ad\u30b9\u30c8\uff09\u3067\u524d\u6bb5\u306e\u624b\u9806\u304c\u7570\u306a\u308b<\/li>\n<li>\u6700\u7d42\u7684\u306b\u30c6\u30ad\u30b9\u30c8\u306f\u69cb\u9020\u5316\u30c7\u30fc\u30bf\uff08DTM\uff09\u306b\u5909\u63db\u3057\u3066\u30e2\u30c7\u30eb\u306b\u5165\u529b<\/li>\n<\/ul>\n<h3>LOS 2\uff1a\u30c7\u30fc\u30bf\u306e\u6e96\u5099\u3068\u6574\u5f62\uff08\u30e9\u30f3\u30b0\u30ea\u30f3\u30b0\uff09<\/h3>\n<p>\u30c7\u30fc\u30bf\u306e\u6e96\u5099\u306f\u3001\u8aa4\u308a\u3092\u53d6\u308a\u9664\u304f<strong>\u30c7\u30fc\u30bf\u30fb\u30af\u30ec\u30f3\u30b8\u30f3\u30b0<\/strong>\u3068\u3001\u5206\u6790\u306b\u9069\u3057\u305f\u5f62\u306b\u5909\u3048\u308b<strong>\u524d\u51e6\u7406\uff08preprocessing\uff09<\/strong>\u304b\u3089\u6210\u308a\u307e\u3059\u3002\u30c7\u30fc\u30bf\u306e\u8cea\u304c\u30e2\u30c7\u30eb\u306e\u8cea\u3092\u5de6\u53f3\u3059\u308b\u305f\u3081\u3001\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u3067\u6700\u3082\u6642\u9593\u306e\u304b\u304b\u308b\u5de5\u7a0b\u306e\u4e00\u3064\u3067\u3059\u3002<\/p>\n<ul>\n<li>\u30af\u30ec\u30f3\u30b8\u30f3\u30b0\u3067\u6271\u3046\u8aa4\u308a\uff1a\u4e0d\u5b8c\u5168\u30fb\u7121\u52b9\u30fb\u4e0d\u6b63\u78ba\u30fb\u4e0d\u6574\u5408\u30fb\u4e0d\u7d71\u4e00\u30fb\u91cd\u8907<\/li>\n<li>\u524d\u51e6\u7406\uff1a\u62bd\u51fa\u30fb\u96c6\u7d04\u30fb\u30d5\u30a3\u30eb\u30bf\u30ea\u30f3\u30b0\u30fb\u9078\u629e\u30fb\u5909\u63db<\/li>\n<li>\u5916\u308c\u5024\u306e\u51e6\u7406\uff1a\u30c8\u30ea\u30df\u30f3\u30b0\u3001\u30a6\u30a3\u30f3\u30b6\u30fc\u5316<\/li>\n<li>\u30b9\u30b1\u30fc\u30ea\u30f3\u30b0\uff1a\u6b63\u898f\u5316\uff080\u301c1\uff09\u3001\u6a19\u6e96\u5316\uff08\u5e73\u57470\u30fb\u6a19\u6e96\u504f\u5dee1\uff09<\/li>\n<\/ul>\n<div class=\"cfalm-f\">\u6b63\u898f\u5316 = (Xi \u2212 Xmin) \/ (Xmax \u2212 Xmin)\u3001\u6a19\u6e96\u5316 = (Xi \u2212 \u03bc) \/ \u03c3<\/div>\n<h3>LOS 3\uff1a\u6a5f\u68b0\u5b66\u7fd2\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u5f53\u3066\u306f\u307e\u308a\u306e\u8a55\u4fa1<\/h3>\n<p>\u30e2\u30c7\u30eb\u306e\u6027\u80fd\u306f\u3001<strong>\u6df7\u540c\u884c\u5217<\/strong>\u304b\u3089\u8a08\u7b97\u3059\u308b\u5404\u6307\u6a19\u3001<strong>ROC \u66f2\u7dda\u3068 AUC<\/strong>\u3001\u9023\u7d9a\u5024\u306e\u4e88\u6e2c\u3067\u306f<strong>RMSE<\/strong>\u3067\u8a55\u4fa1\u3057\u307e\u3059\u3002\u6b63\u89e3\u7387\uff08accuracy\uff09\u3084 F1 \u30b9\u30b3\u30a2\u304c\u9ad8\u304f\u3001AUC \u304c\u5927\u304d\u3044\u307b\u3069\u6027\u80fd\u304c\u826f\u3044\u3068\u5224\u65ad\u3057\u307e\u3059\u3002<\/p>\n<ul>\n<li>\u9069\u5408\u7387\uff08precision\uff09= TP\/(TP+FP)<\/li>\n<li>\u518d\u73fe\u7387\uff08recall\uff09= TP\/(TP+FN)<\/li>\n<li>\u6b63\u89e3\u7387\uff08accuracy\uff09= (TP+TN)\/\u5168\u4f53<\/li>\n<li>F1 = 2 \u00d7 \u9069\u5408\u7387 \u00d7 \u518d\u73fe\u7387 \/\uff08\u9069\u5408\u7387 + \u518d\u73fe\u7387\uff09<\/li>\n<li>ROC\uff1a\u507d\u967d\u6027\u7387\u3092\u6a2a\u8ef8\u3001\u771f\u967d\u6027\u7387\u3092\u7e26\u8ef8\u306b\u3068\u308a\u3001\u51f8\u3067 AUC \u304c\u5927\u304d\u3044\u307b\u3069\u826f\u3044<\/li>\n<li>RMSE\uff1a\u56de\u5e30\u578b\u306e\u4e88\u6e2c\u8aa4\u5dee<\/li>\n<\/ul>\n<div class=\"cfalm-f\">F1\u30b9\u30b3\u30a2 = (2 \u00d7 P \u00d7 R) \/ (P + R)<\/div>\n<h3>LOS 4\uff1a\u30c7\u30fc\u30bf\u63a2\u7d22\u306e\u76ee\u7684\u3068\u65b9\u6cd5<\/h3>\n<p>\u30c7\u30fc\u30bf\u63a2\u7d22\u306f\u3001<strong>\u63a2\u7d22\u7684\u30c7\u30fc\u30bf\u5206\u6790\uff08EDA\uff09\u30fb\u7279\u5fb4\u91cf\u9078\u629e\u30fb\u7279\u5fb4\u91cf\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0<\/strong>\u306e3\u3064\u304b\u3089\u6210\u308a\u307e\u3059\u3002\u30c7\u30fc\u30bf\u306e\u7279\u5fb4\u3084\u95a2\u4fc2\u3092\u628a\u63e1\u3057\u3001\u30e2\u30c7\u30eb\u306b\u4f7f\u3046\u7279\u5fb4\u91cf\u3092\u7d5e\u308a\u8fbc\u3093\u3060\u308a\u65b0\u305f\u306b\u4f5c\u3063\u305f\u308a\u3057\u307e\u3059\u3002<\/p>\n<ul>\n<li>EDA\uff1a\u8981\u7d04\u7d71\u8a08\u91cf\u3001\u30d2\u30b9\u30c8\u30b0\u30e9\u30e0\u3001\u7bb1\u3072\u3052\u56f3\u3001\u6563\u5e03\u56f3<\/li>\n<li>\u30c6\u30ad\u30b9\u30c8\u306e EDA\uff1a\u5358\u8a9e\u983b\u5ea6\u3001\u30ef\u30fc\u30c9\u30fb\u30af\u30e9\u30a6\u30c9<\/li>\n<li>\u7279\u5fb4\u91cf\u9078\u629e\uff1a\u76ee\u7684\u306b\u5f79\u7acb\u3064\u7279\u5fb4\u91cf\u3060\u3051\u3092\u6b8b\u3057\u6b21\u5143\u3092\u6e1b\u3089\u3059<\/li>\n<li>\u7279\u5fb4\u91cf\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0\uff1a\u65e2\u5b58\u306e\u7279\u5fb4\u91cf\u304b\u3089\u65b0\u3057\u3044\u7279\u5fb4\u91cf\u3092\u4f5c\u308b\uff08\u30ef\u30f3\u30db\u30c3\u30c8\u30fb\u30a8\u30f3\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u306a\u3069\uff09<\/li>\n<li>\u53ef\u8996\u5316\u306f\u30c1\u30fc\u30e0\u5185\u306e\u77e5\u898b\u5171\u6709\u306b\u3082\u5f79\u7acb\u3064<\/li>\n<\/ul>\n<h3>LOS 5\uff1a\u30c6\u30ad\u30b9\u30c8\u30fb\u30c7\u30fc\u30bf\u306e\u7279\u5fb4\u91cf\u306e\u62bd\u51fa\u30fb\u9078\u629e\u30fb\u4f5c\u6210<\/h3>\n<p>\u30c6\u30ad\u30b9\u30c8\u306e<strong>\u7279\u5fb4\u91cf\u9078\u629e<\/strong>\u3067\u306f\u3001\u30ce\u30a4\u30ba\u3068\u306a\u308b\u983b\u51fa\u8a9e\u3084\u307e\u308c\u306a\u8a9e\u3092\u9664\u304d\u3001\u5206\u985e\u306b\u5f79\u7acb\u3064\u8a9e\u3092\u6b8b\u3057\u307e\u3059\u3002<strong>\u7279\u5fb4\u91cf\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0<\/strong>\u3067\u306f\u3001\u6570\u5b57\u306e\u30c8\u30fc\u30af\u30f3\u5316\u3084 n-gram\u3001\u56fa\u6709\u8868\u73fe\u62bd\u51fa\u3001\u54c1\u8a5e\u30bf\u30b0\u4ed8\u3051\u3067\u65b0\u305f\u306a\u7279\u5fb4\u91cf\u3092\u4f5c\u308a\u307e\u3059\u3002<\/p>\n<ul>\n<li>\u9078\u629e\u306e\u6307\u6a19\uff1a\u5358\u8a9e\u983b\u5ea6\uff08TF\uff09\u3001\u6587\u66f8\u983b\u5ea6\uff08DF\uff09\u3001\u30ab\u30a4\u4e8c\u4e57\u691c\u5b9a\u3001\u76f8\u4e92\u60c5\u5831\u91cf<\/li>\n<li>DF = \u305d\u306e\u8a9e\u3092\u542b\u3080\u6587\u66f8\u6570 \u00f7 \u5168\u6587\u66f8\u6570<\/li>\n<li>\u6975\u7aef\u306b\u9ad8\u983b\u5ea6\u30fb\u4f4e\u983b\u5ea6\u306e\u8a9e\u306f\u30ce\u30a4\u30ba\u306b\u306a\u308a\u3084\u3059\u3044<\/li>\n<li>\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0\uff1a\u6570\u5b57\u306e\u30c8\u30fc\u30af\u30f3\u5316\u3001n-gram\u3001\u56fa\u6709\u8868\u73fe\u62bd\u51fa\uff08NER\uff09\u3001\u54c1\u8a5e\uff08POS\uff09<\/li>\n<\/ul>\n<h3>LOS 6\uff1a\u30e2\u30c7\u30eb\u8a13\u7df4\u306e\u76ee\u7684\u30fb\u624b\u9806\u30fb\u624b\u6cd5<\/h3>\n<p>\u30e2\u30c7\u30eb\u8a13\u7df4\u306f<strong>\u624b\u6cd5\u306e\u9078\u629e\u2192\u6027\u80fd\u8a55\u4fa1\u2192\u30c1\u30e5\u30fc\u30cb\u30f3\u30b0<\/strong>\u306e\u9806\u306b\u9032\u307f\u307e\u3059\u3002\u624b\u6cd5\u306e\u9078\u629e\u306f\u3001\u30e9\u30d9\u30eb\u306e\u6709\u7121\uff08\u6559\u5e2b\u3042\u308a\u30fb\u306a\u3057\uff09\u3001\u30c7\u30fc\u30bf\u306e\u7a2e\u985e\u3001\u30c7\u30fc\u30bf\u91cf\u3067\u6c7a\u307e\u308a\u3001\u30c1\u30e5\u30fc\u30cb\u30f3\u30b0\u3067\u306f\u30d0\u30a4\u30a2\u30b9\u8aa4\u5dee\u3068\u5206\u6563\u8aa4\u5dee\u306e\u30d0\u30e9\u30f3\u30b9\u3092\u53d6\u308a\u307e\u3059\u3002<\/p>\n<ul>\n<li>\u624b\u6cd5\u9078\u629e\u306e\u8981\u56e0\uff1a\u6559\u5e2b\u3042\u308a\uff0f\u306a\u3057\u3001\u30c7\u30fc\u30bf\u306e\u7a2e\u985e\uff08\u6570\u5024\u30fb\u30c6\u30ad\u30b9\u30c8\u30fb\u753b\u50cf\u306a\u3069\uff09\u3001\u30c7\u30fc\u30bf\u91cf<\/li>\n<li>\u30af\u30e9\u30b9\u306e\u4e0d\u5747\u8861\u3078\u306e\u5bfe\u51e6\uff1a\u30a2\u30f3\u30c0\u30fc\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u3001\u30aa\u30fc\u30d0\u30fc\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0<\/li>\n<li>\u30c1\u30e5\u30fc\u30cb\u30f3\u30b0\uff1a\u30cf\u30a4\u30d1\u30fc\u30d1\u30e9\u30e1\u30fc\u30bf\u306e\u8abf\u6574\uff08\u30b0\u30ea\u30c3\u30c9\u30fb\u30b5\u30fc\u30c1\u306a\u3069\uff09<\/li>\n<li>\u9069\u5408\u66f2\u7dda\uff1a\u6a2a\u8ef8\u306b\u30e2\u30c7\u30eb\u306e\u8907\u96d1\u3055\u3001\u7e26\u8ef8\u306b\u8a13\u7df4\u8aa4\u5dee\u3068\u4ea4\u5dee\u691c\u8a3c\u8aa4\u5dee<\/li>\n<li>\u904e\u5c11\u9069\u5408\uff1d\u9ad8\u30d0\u30a4\u30a2\u30b9\u8aa4\u5dee\u3001\u904e\u5b66\u7fd2\uff1d\u9ad8\u5206\u6563\u8aa4\u5dee<\/li>\n<\/ul>\n<h3>LOS 7\uff1a\u91d1\u878d\u4e88\u6e2c\u306e\u305f\u3081\u306e\u30c6\u30ad\u30b9\u30c8\u30fb\u30c7\u30fc\u30bf\u306e\u6e96\u5099\u3068\u63a2\u7d22<\/h3>\n<p>\u91d1\u878d\u30c6\u30ad\u30b9\u30c8\uff08\u30cb\u30e5\u30fc\u30b9\u3084\u958b\u793a\u6587\u66f8\u306a\u3069\uff09\u306e\u30bb\u30f3\u30c1\u30e1\u30f3\u30c8\u3092\u4e88\u6e2c\u306b\u4f7f\u3046\u306b\u306f\u3001\u30c6\u30ad\u30b9\u30c8\u3092\u6574\u5f62\u3057\u3066<strong>\u6587\u66f8\u30fb\u5358\u8a9e\u884c\u5217\uff08DTM\uff09<\/strong>\u3068\u3044\u3046\u69cb\u9020\u5316\u30c7\u30fc\u30bf\u306b\u5909\u63db\u3057\u307e\u3059\u3002\u5358\u8a9e\u306e\u51fa\u73fe\u983b\u5ea6\u3084 <strong>TF\u2013IDF<\/strong> \u3092 DTM \u306e\u5024\u3068\u3057\u3066\u4f7f\u3044\u307e\u3059\u3002<\/p>\n<ul>\n<li>\u30af\u30ec\u30f3\u30b8\u30f3\u30b0\uff1aHTML \u30bf\u30b0\u3001\u53e5\u8aad\u70b9\u3001\u6570\u5b57\uff08\u6ce8\u91c8\u3078\u306e\u7f6e\u63db\u3092\u542b\u3080\uff09\u3001\u4f59\u5206\u306a\u7a7a\u767d\u306e\u9664\u53bb<\/li>\n<li>\u6b63\u898f\u5316\uff1a\u5c0f\u6587\u5b57\u5316\u3001\u30b9\u30c8\u30c3\u30d7\u30ef\u30fc\u30c9\u306e\u9664\u53bb\u3001\u30b9\u30c6\u30df\u30f3\u30b0\u3001\u30ec\u30f3\u30de\u5316<\/li>\n<li>\u30c8\u30fc\u30af\u30f3\u5316\u3068 BOW\uff08bag-of-words\uff09\u3001n-gram \u306e\u4f5c\u6210<\/li>\n<li>DTM\uff1a\u884c\u304c\u6587\u66f8\uff08\u6587\uff09\u3001\u5217\u304c\u30c8\u30fc\u30af\u30f3<\/li>\n<li>IDF \u306f\u591a\u304f\u306e\u6587\u66f8\u306b\u51fa\u308b\u8a9e\u307b\u3069\u5c0f\u3055\u304f\u306a\u308b<\/li>\n<\/ul>\n<div class=\"cfalm-f\">TF\u2013IDF = TF \u00d7 IDF\u3001IDF = log(1 \/ DF)<\/div>\n<h2>\u52b9\u7387\u3088\u304f\u5b66\u3076\u306b\u306f FA-Academy<\/h2>\n<p>CFA\u00ae\ufe0e\u306e\u5354\u4f1a\u30c6\u30ad\u30b9\u30c8\u306f\u82f1\u8a9e\u3067\u5206\u91cf\u3082\u591a\u304f\u30011\u3064\u3072\u3068\u3064\u306e\u5358\u5143\u3092\u82f1\u8a9e\u3060\u3051\u3067\u7406\u89e3\u3057\u3066\u3044\u304f\u306e\u306f\u5927\u304d\u306a\u8ca0\u62c5\u3067\u3059\u3002<\/p>\n<p>FA-Academy\uff08Financial Analyst Academy\uff09\u306f\u3001<strong>\u65e5\u672c\u8a9e\u3067\u5b66\u3079\u308b\u6570\u5c11\u306a\u3044CFA\u00ae\ufe0e\u8a66\u9a13\u30b5\u30dd\u30fc\u30c8<\/strong>\u3067\u3059\u3002\u3053\u308c\u307e\u3067 Level 1 \u304b\u3089 Level 3 \u307e\u3067\u591a\u304f\u306e\u5408\u683c\u8005\u3092\u8f29\u51fa\u3057\u3066\u304a\u308a\u3001\u5408\u683c\u8005\u306e\u65b9\u3005\u3068\u306e\u5bfe\u8ac7\u3082\u6570\u591a\u304f\u516c\u958b\u3057\u3066\u3044\u307e\u3059\u3002\u3069\u3093\u306a\u65b9\u304c\u3001\u3069\u306e\u3088\u3046\u306b\u5408\u683c\u3055\u308c\u305f\u306e\u304b\u306f<a href=\"https:\/\/triumphmind.com\/cfa\/category\/gokaku\/\" target=\"_blank\" rel=\"noopener\">\u5408\u683c\u8005\u5bfe\u8ac7\u30fb\u5408\u683c\u4f53\u9a13\u8ac7\u306e\u4e00\u89a7<\/a>\u304b\u3089\u3054\u89a7\u3044\u305f\u3060\u3051\u307e\u3059\u3002<\/p>\n<ul>\n<li><a href=\"https:\/\/triumphmind.com\/cfa\/level2movie\/\" target=\"_blank\" rel=\"noopener\">Level 2 \u65e5\u672c\u8a9e\u8981\u70b9\u96c6\u306e\u7121\u6599\u30b5\u30f3\u30d7\u30eb\u3092\u53d7\u3051\u53d6\u308b\uff087\u65e5\u9593\u30e1\u30fc\u30eb\u8b1b\u5ea7\uff09<\/a><\/li>\n<li><a href=\"https:\/\/timerex.net\/s\/cfa.tips.slack_2a23\/e72e883e\/\" target=\"_blank\" rel=\"noopener\">\u7121\u6599\u500b\u5225\u9762\u8ac7\u3092\u4e88\u7d04\u3059\u308b\uff08\u5b66\u7fd2\u8a08\u753b\u306e\u3054\u76f8\u8ac7\uff09<\/a><\/li>\n<li><a href=\"https:\/\/triumphmind.com\/cfa\/course\/\" target=\"_blank\" rel=\"noopener\">\u53d7\u8b1b\u6848\u5185\uff08\u30b3\u30fc\u30b9\u4e00\u89a7\u30fb\u53d7\u8b1b\u6599\uff09\u3092\u898b\u308b<\/a><\/li>\n<\/ul>\n<div class=\"cfalm-nav\">\u524d\u306e\u5358\u5143\uff1a<a href=\"https:\/\/triumphmind.com\/cfa\/2026\/09\/22\/cfa-l2-quants-lm6\/\">LM6 Machine Learning\uff08\u6a5f\u68b0\u5b66\u7fd2\uff09<\/a><br \/>\n\u5168\u4f53\u306e\u76ee\u6b21\uff1a<a href=\"https:\/\/triumphmind.com\/cfa\/cfa-curriculum\/#l2-quants\">CFA\u00ae\ufe0e \u5b66\u7fd2\u5185\u5bb9\u306e\u76ee\u6b21\uff08Level 2 Quantitative Methods\uff09<\/a><\/div>\n","protected":false},"excerpt":{"rendered":"<p>CFA\u00ae\ufe0e Level 2 Quantitative Methods LM7\u300cBig Data Projects\uff08\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u30fb\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\uff09\u300d\u306eLOS\uff08\u5b66\u7fd2\u76ee\u6a19\uff09\u3068\u91cd\u8981\u8ad6\u70b9\u3092\u3001\u6700\u65b0\u7248\u30ab\u30ea\u30ad\u30e5\u30e9\u30e0\u306b\u57fa\u3065\u3044\u3066\u65e5\u672c\u8a9e\u3067\u6574\u7406\u3057\u307e\u3057\u305f\u3002<\/p>\n","protected":false},"author":1,"featured_media":11170,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jin_ogp_image_url":"","_jin_last_featured_id":0,"footnotes":""},"categories":[99],"tags":[],"class_list":["post-10824","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-level2-topics"],"_links":{"self":[{"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/posts\/10824","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/comments?post=10824"}],"version-history":[{"count":2,"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/posts\/10824\/revisions"}],"predecessor-version":[{"id":11366,"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/posts\/10824\/revisions\/11366"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/media\/11170"}],"wp:attachment":[{"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/media?parent=10824"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/categories?post=10824"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/tags?post=10824"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}