{"id":10823,"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-lm6\/"},"modified":"2026-09-22T07:05:34","modified_gmt":"2026-09-21T22:05:34","slug":"cfa-l2-quants-lm6","status":"publish","type":"post","link":"https:\/\/triumphmind.com\/cfa\/2026\/09\/22\/cfa-l2-quants-lm6\/","title":{"rendered":"\u3010CFA\u00ae\ufe0e L2 Quants LM6\u3011Machine Learning \u3092\u8981\u70b9\u89e3\u8aac\uff5c\u6559\u5e2b\u3042\u308a\u5b66\u7fd2\u30fb\u6559\u5e2b\u306a\u3057\u5b66\u7fd2\u30fb\u904e\u5b66\u7fd2\u30fb\u4e3b\u8981\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0"},"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 6\u300cMachine Learning\uff08\u6a5f\u68b0\u5b66\u7fd2\uff09\u300d\u306f\u3001\u6559\u5e2b\u3042\u308a\u5b66\u7fd2\u30fb\u6559\u5e2b\u306a\u3057\u5b66\u7fd2\u30fb\u6df1\u5c64\u5b66\u7fd2\u306e\u9055\u3044\u3001\u904e\u5b66\u7fd2\uff08\u30aa\u30fc\u30d0\u30fc\u30d5\u30a3\u30c3\u30c6\u30a3\u30f3\u30b0\uff09\u3068\u305d\u306e\u5bfe\u51e6\u6cd5\u3001\u305d\u3057\u3066\u30da\u30ca\u30eb\u30c6\u30a3\u4ed8\u304d\u56de\u5e30\u30fbSVM\u30fbKNN\u30fbCART\u30fb\u30a2\u30f3\u30b5\u30f3\u30d6\u30eb\u5b66\u7fd2\u30fbPCA\u30fb\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306a\u3069\u306e\u4e3b\u8981\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3068\u5411\u3044\u3066\u3044\u308b\u554f\u984c\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>LM6\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\u3002LM6\u306b\u306f4\u3064\u306eLOS\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<ol class=\"cfalm-los\">\n<li><span class=\"ja\">LOS 1\uff1a\u6559\u5e2b\u3042\u308a\u6a5f\u68b0\u5b66\u7fd2\u3001\u6559\u5e2b\u306a\u3057\u6a5f\u68b0\u5b66\u7fd2\u3001\u6df1\u5c64\u5b66\u7fd2\u3092\u8aac\u660e\u3059\u308b<\/span><span class=\"en\">describe supervised machine learning, unsupervised machine learning, and deep learning<\/span><\/li>\n<li><span class=\"ja\">LOS 2\uff1a\u904e\u5b66\u7fd2\uff08\u30aa\u30fc\u30d0\u30fc\u30d5\u30a3\u30c3\u30c6\u30a3\u30f3\u30b0\uff09\u3092\u8aac\u660e\u3057\u3001\u305d\u306e\u5bfe\u51e6\u6cd5\u3092\u7279\u5b9a\u3059\u308b<\/span><span class=\"en\">describe overfitting and identify methods of addressing it<\/span><\/li>\n<li><span class=\"ja\">LOS 3\uff1a\u30da\u30ca\u30eb\u30c6\u30a3\u4ed8\u304d\u56de\u5e30\u3001\u30b5\u30dd\u30fc\u30c8\u30fb\u30d9\u30af\u30bf\u30fc\u30fb\u30de\u30b7\u30f3\u3001k \u8fd1\u508d\u6cd5\u3001\u5206\u985e\u30fb\u56de\u5e30\u6728\u3001\u30a2\u30f3\u30b5\u30f3\u30d6\u30eb\u5b66\u7fd2\u3001\u30e9\u30f3\u30c0\u30e0\u30fb\u30d5\u30a9\u30ec\u30b9\u30c8\u3092\u542b\u3080\u6559\u5e2b\u3042\u308a\u6a5f\u68b0\u5b66\u7fd2\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u8aac\u660e\u3057\u3001\u305d\u308c\u305e\u308c\u304c\u6700\u3082\u9069\u3059\u308b\u554f\u984c\u3092\u5224\u65ad\u3059\u308b<\/span><span class=\"en\">describe supervised machine learning algorithms\u2014including penalized regression, support vector machine, k-nearest neighbor, classification and regression tree, ensemble learning, and random forest\u2014and determine the problems for which they are best suited<\/span><\/li>\n<li><span class=\"ja\">LOS 4\uff1a\u4e3b\u6210\u5206\u5206\u6790\u3001k \u5e73\u5747\u6cd5\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u3001\u968e\u5c64\u7684\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u3092\u542b\u3080\u6559\u5e2b\u306a\u3057\u6a5f\u68b0\u5b66\u7fd2\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u8aac\u660e\u3057\u3001\u305d\u308c\u305e\u308c\u304c\u6700\u3082\u9069\u3059\u308b\u554f\u984c\u3092\u5224\u65ad\u3059\u308b<\/span><span class=\"en\">describe unsupervised machine learning algorithms\u2014including principal components analysis, k-means clustering, and hierarchical clustering\u2014and determine the problems for which they are best suited<\/span><\/li>\n<\/ol>\n<h2>LM6\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>\u6a5f\u68b0\u5b66\u7fd2\u306f\u5927\u91cf\u306e\u30c7\u30fc\u30bf\u304b\u3089\u65e2\u77e5\u306e\u4e8b\u4f8b\u3092\u5b66\u7fd2\u3057\u3066\u30c7\u30fc\u30bf\u306e\u69cb\u9020\u3092\u898b\u3044\u3060\u3059\u624b\u6cd5\u3067\u3001\u4eba\u306e\u4ecb\u5165\u306a\u3057\u306b\u69cb\u9020\u3084\u4e88\u6e2c\u3092\u751f\u307f\u51fa\u3059\u70b9\u306b\u7279\u5fb4\u304c\u3042\u308b<\/li>\n<li>\u6559\u5e2b\u3042\u308a\u5b66\u7fd2\u306f\u30e9\u30d9\u30eb\u4ed8\u304d\u30c7\u30fc\u30bf\uff08\u7279\u5fb4\u91cf X \u3068\u76ee\u6a19\u5909\u6570 Y \u306e\u7d44\uff09\u3092\u4f7f\u3044\u3001\u76ee\u6a19\u5909\u6570\u304c\u9023\u7d9a\u306a\u3089\u56de\u5e30\u3001\u30ab\u30c6\u30b4\u30ea\u30fc\u306a\u3089\u5206\u985e\u306e\u554f\u984c<\/li>\n<li>\u6559\u5e2b\u306a\u3057\u5b66\u7fd2\u306f\u30e9\u30d9\u30eb\u306e\u306a\u3044\u30c7\u30fc\u30bf\u304b\u3089\u69cb\u9020\u3092\u63a8\u6e2c\u3057\u3001\u6b21\u5143\u524a\u6e1b\u3068\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306b\u9069\u3059\u308b<\/li>\n<li>\u6df1\u5c64\u5b66\u7fd2\u306f\u30cb\u30e5\u30fc\u30e9\u30eb\u30fb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u57fa\u3065\u304d\u3001\u753b\u50cf\u8a8d\u8b58\u3084\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u306a\u3069\u306e\u8907\u96d1\u306a\u8ab2\u984c\u3092\u6271\u3046\u3002\u5f37\u5316\u5b66\u7fd2\u306f\u81ea\u3089\u3068\u306e\u76f8\u4e92\u4f5c\u7528\u304b\u3089\u5b66\u7fd2\u3059\u308b<\/li>\n<li>\u904e\u5b66\u7fd2\u306f\u8a13\u7df4\u30c7\u30fc\u30bf\u306b\u5408\u308f\u305b\u3059\u304e\u3066\u65b0\u3057\u3044\u30c7\u30fc\u30bf\u3078\u306e\u6c4e\u5316\u529b\u3092\u5931\u3046\u3053\u3068\u3002\u30b5\u30f3\u30d7\u30eb\u5916\u8aa4\u5dee\u306f\u30d0\u30a4\u30a2\u30b9\u8aa4\u5dee\u30fb\u5206\u6563\u8aa4\u5dee\u30fb\u57fa\u672c\u8aa4\u5dee\u306e\u548c<\/li>\n<li>k \u5206\u5272\u4ea4\u5dee\u691c\u8a3c\u306f\u30db\u30fc\u30eb\u30c9\u30a2\u30a6\u30c8\u6a19\u672c\u306b\u3088\u308b\u8a13\u7df4\u30c7\u30fc\u30bf\u306e\u6e1b\u5c11\u3092\u7de9\u548c\u3057\u3001\u6b63\u5247\u5316\u306f\u30e2\u30c7\u30eb\u306e\u8907\u96d1\u3055\u3092\u6291\u3048\u3066\u904e\u5b66\u7fd2\u3092\u9632\u3050<\/li>\n<li>LASSO\u3001SVM\u3001KNN\u3001CART\u3001\u30a2\u30f3\u30b5\u30f3\u30d6\u30eb\u5b66\u7fd2\u3068\u30e9\u30f3\u30c0\u30e0\u30fb\u30d5\u30a9\u30ec\u30b9\u30c8\u304c\u4ee3\u8868\u7684\u306a\u6559\u5e2b\u3042\u308a\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0<\/li>\n<li>PCA \u306f\u76f8\u95a2\u306e\u9ad8\u3044\u7279\u5fb4\u91cf\u3092\u5c11\u6570\u306e\u7121\u76f8\u95a2\u306a\u4e3b\u6210\u5206\u306b\u96c6\u7d04\u3057\u3001k \u5e73\u5747\u6cd5\u3068\u968e\u5c64\u7684\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306f\u89b3\u6e2c\u5024\u3092\u30b0\u30eb\u30fc\u30d7\u5316\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\u6559\u5e2b\u3042\u308a\u5b66\u7fd2\u30fb\u6559\u5e2b\u306a\u3057\u5b66\u7fd2\u30fb\u6df1\u5c64\u5b66\u7fd2<\/h3>\n<p><strong>\u6559\u5e2b\u3042\u308a\u5b66\u7fd2<\/strong>\u306f\u6b63\u89e3\u30e9\u30d9\u30eb\u4ed8\u304d\u306e\u30c7\u30fc\u30bf\u304b\u3089\u5165\u529b\u3068\u51fa\u529b\u306e\u95a2\u4fc2\u3092\u5b66\u3073\u3001<strong>\u6559\u5e2b\u306a\u3057\u5b66\u7fd2<\/strong>\u306f\u30e9\u30d9\u30eb\u306a\u3057\u306e\u30c7\u30fc\u30bf\u304b\u3089\u69cb\u9020\u3092\u898b\u3064\u3051\u307e\u3059\u3002<strong>\u6df1\u5c64\u5b66\u7fd2<\/strong>\u306f\u591a\u5c64\u306e\u30cb\u30e5\u30fc\u30e9\u30eb\u30fb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3067\u3001\u975e\u7dda\u5f62\u6027\u3084\u7279\u5fb4\u91cf\u306e\u76f8\u4e92\u4f5c\u7528\u304c\u8907\u96d1\u306a\u5927\u898f\u6a21\u30c7\u30fc\u30bf\u306b\u5411\u304d\u307e\u3059\u3002<\/p>\n<ul>\n<li>\u6559\u5e2b\u3042\u308a\uff1a\u76ee\u6a19\u5909\u6570\u304c\u9023\u7d9a \u2192 \u56de\u5e30\u3001\u30ab\u30c6\u30b4\u30ea\u30fc \u2192 \u5206\u985e<\/li>\n<li>\u6559\u5e2b\u306a\u3057\uff1a\u6b21\u5143\u524a\u6e1b\u3001\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0<\/li>\n<li>\u30cb\u30e5\u30fc\u30e9\u30eb\u30fb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\uff1a\u5165\u529b\u5c64\u30fb\u96a0\u308c\u5c64\u30fb\u51fa\u529b\u5c64\u3001\u96a0\u308c\u5c64\u306e\u30ce\u30fc\u30c9\u306f\u52a0\u7b97\u6f14\u7b97\u5b50\u3068\u6d3b\u6027\u5316\u95a2\u6570<\/li>\n<li>\u96a0\u308c\u5c64\u304c\u591a\u3044\uff082\u5c64\u4ee5\u4e0a\u3001\u3057\u3070\u3057\u307020\u5c64\u8d85\uff09\u3082\u306e\u304c\u6df1\u5c64\u30cb\u30e5\u30fc\u30e9\u30eb\u30fb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af<\/li>\n<li>\u5f37\u5316\u5b66\u7fd2\uff1a\u8a66\u884c\u3068\u5831\u916c\u3092\u901a\u3058\u3066\u5b66\u7fd2<\/li>\n<\/ul>\n<h3>LOS 2\uff1a\u904e\u5b66\u7fd2\u3068\u305d\u306e\u5bfe\u51e6\u6cd5<\/h3>\n<p><strong>\u904e\u5b66\u7fd2\uff08overfitting\uff09<\/strong>\u306f\u3001\u30e2\u30c7\u30eb\u304c\u8a13\u7df4\u30c7\u30fc\u30bf\u306e\u30ce\u30a4\u30ba\u307e\u3067\u5b66\u7fd2\u3057\u3001\u65b0\u3057\u3044\u30c7\u30fc\u30bf\u3067\u4e88\u6e2c\u529b\u3092\u5931\u3046\u72b6\u614b\u3067\u3059\u3002\u30e2\u30c7\u30eb\u306e\u8907\u96d1\u3055\u3092\u9069\u5207\u306b\u6291\u3048\u308b\u3053\u3068\u3068\u3001<strong>\u4ea4\u5dee\u691c\u8a3c<\/strong>\u3067\u6c4e\u5316\u529b\u3092\u78ba\u8a8d\u3059\u308b\u3053\u3068\u304c\u5bfe\u51e6\u306e\u67f1\u3067\u3059\u3002<\/p>\n<ul>\n<li>\u30c7\u30fc\u30bf\u306f\u8a13\u7df4\u6a19\u672c\u30fb\u691c\u8a3c\u6a19\u672c\u30fb\u30c6\u30b9\u30c8\u6a19\u672c\u306b\u5206\u5272<\/li>\n<li>\u30d0\u30a4\u30a2\u30b9\u8aa4\u5dee\uff1a\u8a13\u7df4\u30c7\u30fc\u30bf\u3078\u306e\u5f53\u3066\u306f\u307e\u308a\u306e\u60aa\u3055\uff08\u904e\u5c11\u9069\u5408\uff09<\/li>\n<li>\u5206\u6563\u8aa4\u5dee\uff1a\u65b0\u3057\u3044\u30c7\u30fc\u30bf\u3067\u7d50\u679c\u304c\u3069\u308c\u3060\u3051\u5909\u308f\u308b\u304b\uff08\u904e\u5b66\u7fd2\uff09<\/li>\n<li>\u57fa\u672c\u8aa4\u5dee\uff1a\u30c7\u30fc\u30bf\u306e\u30e9\u30f3\u30c0\u30e0\u6027\u306b\u3088\u308b\u8aa4\u5dee<\/li>\n<li>\u5bfe\u51e61\uff1a\u8907\u96d1\u3055\u306e\u6291\u5236\uff08\u6b63\u5247\u5316\u3001\u7279\u5fb4\u91cf\u306e\u524a\u6e1b\uff09<\/li>\n<li>\u5bfe\u51e62\uff1ak \u5206\u5272\u4ea4\u5dee\u691c\u8a3c<\/li>\n<\/ul>\n<div class=\"cfalm-f\">\u30b5\u30f3\u30d7\u30eb\u5916\u8aa4\u5dee = \u30d0\u30a4\u30a2\u30b9\u8aa4\u5dee + \u5206\u6563\u8aa4\u5dee + \u57fa\u672c\u8aa4\u5dee<\/div>\n<h3>LOS 3\uff1a\u4e3b\u306a\u6559\u5e2b\u3042\u308a\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3068\u9069\u3059\u308b\u554f\u984c<\/h3>\n<p>\u6559\u5e2b\u3042\u308a\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u3001\u76ee\u7684\uff08\u56de\u5e30\u304b\u5206\u985e\u304b\uff09\u3001\u30c7\u30fc\u30bf\u306e\u7279\u5fb4\u3001\u89e3\u91c8\u306e\u3057\u3084\u3059\u3055\u3067\u4f7f\u3044\u5206\u3051\u307e\u3059\u3002<strong>\u30da\u30ca\u30eb\u30c6\u30a3\u4ed8\u304d\u56de\u5e30<\/strong>\u306f\u7279\u5fb4\u91cf\u306e\u7d5e\u308a\u8fbc\u307f\u3001<strong>SVM\u30fbKNN<\/strong>\u306f\u5206\u985e\u3001<strong>CART<\/strong>\u306f\u89e3\u91c8\u3057\u3084\u3059\u3044\u5206\u985e\u30fb\u56de\u5e30\u3001<strong>\u30a2\u30f3\u30b5\u30f3\u30d6\u30eb\u5b66\u7fd2<\/strong>\u306f\u4e88\u6e2c\u306e\u7cbe\u5ea6\u3068\u5b89\u5b9a\u6027\u306e\u5411\u4e0a\u306b\u4f7f\u308f\u308c\u307e\u3059\u3002<\/p>\n<ul>\n<li>\u30da\u30ca\u30eb\u30c6\u30a3\u4ed8\u304d\u56de\u5e30\uff08LASSO\uff09\uff1a\u4fc2\u6570\u306e\u7d76\u5bfe\u5024\u306e\u548c\u306b\u30da\u30ca\u30eb\u30c6\u30a3\u3001\u91cd\u8981\u3067\u306a\u3044\u7279\u5fb4\u91cf\u306e\u4fc2\u6570\u3092\u30bc\u30ed\u306b<\/li>\n<li>SVM\uff1a2\u30b0\u30eb\u30fc\u30d7\u3092\u6700\u5927\u30de\u30fc\u30b8\u30f3\u3067\u5206\u3051\u308b\u8d85\u5e73\u9762\u3092\u6c42\u3081\u308b\u5206\u985e\u5668\uff08\u30bd\u30d5\u30c8\u30fb\u30de\u30fc\u30b8\u30f3\u3067\u8aa4\u5206\u985e\u3082\u8a31\u5bb9\uff09<\/li>\n<li>KNN\uff1a\u65b0\u3057\u3044\u89b3\u6e2c\u5024\u3092\u8fd1\u3044 k \u500b\u306e\u89b3\u6e2c\u5024\u306e\u591a\u6570\u6c7a\u3067\u5206\u985e\u3001k \u3068\u8ddd\u96e2\u306e\u5b9a\u7fa9\u304c\u91cd\u8981<\/li>\n<li>CART\uff1a\u7279\u5fb4\u91cf\u3068\u30ab\u30c3\u30c8\u30aa\u30d5\u5024\u30672\u5206\u5c90\u3092\u7e70\u308a\u8fd4\u3059\u6c7a\u5b9a\u6728\u3001\u5206\u985e\u6728\u30fb\u56de\u5e30\u6728<\/li>\n<li>\u30a2\u30f3\u30b5\u30f3\u30d6\u30eb\u5b66\u7fd2\uff1a\u8907\u6570\u30e2\u30c7\u30eb\u306e\u4e88\u6e2c\u3092\u7d44\u307f\u5408\u308f\u305b\u308b\uff08\u591a\u6570\u6c7a\u3001\u30d0\u30ae\u30f3\u30b0\uff09<\/li>\n<li>\u30e9\u30f3\u30c0\u30e0\u30fb\u30d5\u30a9\u30ec\u30b9\u30c8\uff1a\u30d0\u30ae\u30f3\u30b0\u3068\u7279\u5fb4\u91cf\u306e\u30e9\u30f3\u30c0\u30e0\u306a\u524a\u6e1b\u3067\u591a\u6570\u306e\u6c7a\u5b9a\u6728\u3092\u4f5c\u308a\u904e\u5b66\u7fd2\u3092\u6291\u3048\u308b<\/li>\n<\/ul>\n<h3>LOS 4\uff1a\u4e3b\u306a\u6559\u5e2b\u306a\u3057\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3068\u9069\u3059\u308b\u554f\u984c<\/h3>\n<p><strong>\u4e3b\u6210\u5206\u5206\u6790\uff08PCA\uff09<\/strong>\u306f\u76f8\u95a2\u306e\u9ad8\u3044\u591a\u6570\u306e\u7279\u5fb4\u91cf\u3092\u5c11\u6570\u306e\u7121\u76f8\u95a2\u306a\u5408\u6210\u5909\u6570\u306b\u8981\u7d04\u3059\u308b\u6b21\u5143\u524a\u6e1b\u306e\u624b\u6cd5\u3067\u3059\u3002<strong>k \u5e73\u5747\u6cd5<\/strong>\u3068<strong>\u968e\u5c64\u7684\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0<\/strong>\u306f\u3001\u4f3c\u305f\u89b3\u6e2c\u5024\u3092\u30b0\u30eb\u30fc\u30d7\u306b\u307e\u3068\u3081\u308b\u624b\u6cd5\u3067\u3059\u3002<\/p>\n<ul>\n<li>PCA\uff1a\u5171\u5206\u6563\u884c\u5217\u306e\u56fa\u6709\u30d9\u30af\u30c8\u30eb\u304c\u4e3b\u6210\u5206\u3001\u56fa\u6709\u5024\u304c\u8aac\u660e\u3059\u308b\u5206\u6563\u306e\u5272\u5408<\/li>\n<li>PCA \u306e\u77ed\u6240\uff1a\u4e3b\u6210\u5206\u306e\u610f\u5473\u304c\u89e3\u91c8\u3057\u306b\u304f\u3044<\/li>\n<li>k \u5e73\u5747\u6cd5\uff1ak \u500b\u306e\u91cd\u8907\u3057\u306a\u3044\u30af\u30e9\u30b9\u30bf\u30fc\u306b\u5206\u5272\u3001\u5404\u89b3\u6e2c\u5024\u306f\u6700\u3082\u8fd1\u3044\u91cd\u5fc3\u306b\u5c5e\u3059\u308b<\/li>\n<li>k \u5e73\u5747\u6cd5\u306f k \u3092\u4e8b\u524d\u306b\u6c7a\u3081\u308b\u5fc5\u8981\u3042\u308a<\/li>\n<li>\u968e\u5c64\u7684\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\uff1a\u51dd\u96c6\u578b\uff08\u30dc\u30c8\u30e0\u30a2\u30c3\u30d7\uff09\u3068\u5206\u5272\u578b\uff08\u30c8\u30c3\u30d7\u30c0\u30a6\u30f3\uff09<\/li>\n<li>\u7528\u9014\u4f8b\uff1a\u5206\u6563\u6295\u8cc7\u306e\u305f\u3081\u306e\u9298\u67c4\u306e\u30b0\u30eb\u30fc\u30d7\u5316<\/li>\n<\/ul>\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-lm5\/\">LM5 Time-Series Analysis\uff08\u6642\u7cfb\u5217\u5206\u6790\uff09<\/a><br \/>\n\u6b21\u306e\u5358\u5143\uff1a<a href=\"https:\/\/triumphmind.com\/cfa\/2026\/09\/22\/cfa-l2-quants-lm7\/\">LM7 Big Data Projects\uff08\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u30fb\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\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 LM6\u300cMachine Learning\uff08\u6a5f\u68b0\u5b66\u7fd2\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":11169,"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-10823","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\/10823","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=10823"}],"version-history":[{"count":1,"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/posts\/10823\/revisions"}],"predecessor-version":[{"id":10996,"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/posts\/10823\/revisions\/10996"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/media\/11169"}],"wp:attachment":[{"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/media?parent=10823"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/categories?post=10823"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/tags?post=10823"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}