Statistical Coding with AI: exaBase \u00d7 Claude 4\u3067\u30d9\u30a4\u30ba\u30e2\u30c7\u30eb\u4f5c\u6210\u3092\u9ad8\u901f\u5316<\/title>\n <meta name=\"description\" content=\"exaBase \u00d7 Claude 4\u3092\u6d3b\u7528\u3057\u305f\u30d9\u30a4\u30ba\u7d71\u8a08\u30fb\u7d71\u8a08\u30e2\u30c7\u30ea\u30f3\u30b0\u306e\u65b0\u3057\u3044\u5b9f\u8df5\u65b9\u6cd5\u3092\u5fb9\u5e95\u89e3\u8aac\u3002Python\u30b5\u30f3\u30d7\u30eb\u3084\u30d3\u30b8\u30cd\u30b9\/\u7814\u7a76\/\u8da3\u5473\u5fdc\u7528\u4e8b\u4f8b\u3082\u6e80\u8f09\u3002\">\n <meta name=\"viewport\" content=\"width=device-width,initial-scale=1\">\n <style>\n body {font-family: \"Yu Gothic\", \"Meiryo\", sans-serif; line-height: 1.9; margin: 2em; color: #24292f;}\n h1, h2, h3 {color: #263372;}\n code, pre {background: #f3f3fa; border-radius: 5px; padding: 2px 6px;}\n pre {padding: 1em;}\n blockquote {background: #f8f9fa; border-left: 5px solid #74a9cf; margin: 1.5em 0; padding: 1em;}\n ul, ol {margin-left: 2em;}\n .point {background: #e0f7fa; border-radius: 5px; padding: 0.7em; margin: 1.5em 0;}\n .toc {background: #f4f8fb; border-left: 4px solid #9ad0ec; padding: 1em; margin-bottom: 2em;}\n .qa {background: #fffbe0; border-radius: 4px; padding: 0.5em 1em; margin: 1.5em 0;}\n .sample {background: #e9f5ec; padding: 0.7em; border-radius: 4px;}\n .highlight {color: #2767aa; font-weight: bold;}\n .warn {color: #b71c1c; font-weight: bold;}\n <\/style>\n<\/head>\n<body>\n\n\n<div class=\"toc\">\n <strong>\u76ee\u6b21<\/strong>\n <ol>\n <li><a href=\"#intro\">AI\u6642\u4ee3\u306e\u7d71\u8a08\u30e2\u30c7\u30ea\u30f3\u30b0 \u2015 \u306a\u305c\u3044\u307eAI\u00d7\u30d9\u30a4\u30ba\u306a\u306e\u304b\uff1f<\/a><\/li>\n <li><a href=\"#exabase-claude4\">exaBase \u00d7 Claude 4\u306e\u5b9f\u50cf\u3068\u5f37\u307f<\/a><\/li>\n <li><a href=\"#bayes-basic\">\u30d9\u30a4\u30ba\u7d71\u8a08\u3068\u30e2\u30c7\u30ea\u30f3\u30b0\u306e\u57fa\u790e<\/a><\/li>\n <li><a href=\"#ai-coding-flow\">\u30d9\u30a4\u30ba\u7d71\u8a08\u3068\u306f\uff1f\u2015 \u4ed5\u7d44\u307f\u3068\u57fa\u790e\uff5eAI\u751f\u6210\u00d7\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u624b\u9806\u3068\u5b9f\u7528\u30b5\u30f3\u30d7\u30eb<\/a><\/li>\n <li><a href=\"#business-case\">\u30d3\u30b8\u30cd\u30b9\u30fb\u5b66\u8853\u30fb\u8da3\u5473\u3067\u306e\u5fdc\u7528\u4e8b\u4f8b<\/a><\/li>\n <li><a href=\"#risk\">\u9650\u754c\u30fb\u6ce8\u610f\u70b9\u3068\u4eca\u5f8c\u306e\u5c55\u671b<\/a><\/li>\n <li><a href=\"#qanda\">\u3088\u304f\u3042\u308b\u8cea\u554fQ&A<\/a><\/li>\n <li><a href=\"#summary\">\u307e\u3068\u3081<\/a><\/li>\n <\/ol>\n<\/div>\n\n<h2 id=\"intro\">1. AI\u6642\u4ee3\u306e\u7d71\u8a08\u30e2\u30c7\u30ea\u30f3\u30b0 \u2015 \u306a\u305c\u3044\u307eAI\u00d7\u30d9\u30a4\u30ba\u306a\u306e\u304b\uff1f<\/h2>\n<p>\n\u8fd1\u5e74\u3001AI\u30fb\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u306e\u666e\u53ca\u3067\u300c\u7d71\u8a08\u5b66\u300d\u304c\u518d\u3073\u811a\u5149\u3092\u6d74\u3073\u3066\u3044\u307e\u3059\u3002\u7279\u306b<strong>\u30d9\u30a4\u30ba\u7d71\u8a08<\/strong>\u306f\u3001\u4e0d\u78ba\u5b9f\u6027\u3092\u6271\u3046\u73fe\u5b9f\u7684\u306a\u610f\u601d\u6c7a\u5b9a\u306b\u5f37\u304f\u3001AI\u306e\u300c\u4e88\u6e2c\u300d\u300c\u5206\u985e\u300d\u300c\u6700\u9069\u5316\u300d\u306a\u3069\u5e45\u5e83\u3044\u5fdc\u7528\u304c\u53ef\u80fd\u3067\u3059\u3002\n<\/p>\n<div class=\"point\">\n\u73fe\u5834\u3067\u3088\u304f\u805e\u304f\u60a9\u307f\uff1a<br>\n\u300c\u7d71\u8a08\u30e2\u30c7\u30eb\u3092\u4f5c\u308a\u305f\u3044\u304c\u3001\u6570\u5f0f\u3084\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u304c\u58c1\u2026\u300d<br>\n\u300cR\u3084Stan\u3001PyMC\u3092\u4f7f\u3044\u3053\u306a\u305b\u306a\u3044\u300d<br>\n\u300c\u6700\u5148\u7aefAI\u30c4\u30fc\u30eb\u3068\u7d44\u307f\u5408\u308f\u305b\u3066\u3001\u3082\u3063\u3068\u30e9\u30af\u306b\u9ad8\u5ea6\u306a\u5206\u6790\u3092\u3084\u308a\u305f\u3044\u300d\n<\/div>\n<p>\n\u305d\u3093\u306a\u58f0\u306b\u5fdc\u3048\u308b\u306e\u304c\u3001<span class=\"highlight\">\u751f\u6210AI\uff08\u4f8b\uff1aClaude 4\u3001exaBase\uff09\u306b\u3088\u308b\u7d71\u8a08\u30e2\u30c7\u30eb\u81ea\u52d5\u751f\u6210<\/span>\u3067\u3059\u3002\u3053\u308c\u3089\u306f\u30d9\u30a4\u30ba\u63a8\u8ad6\u306e\u5b9f\u88c5\u3060\u3051\u3067\u306a\u304f\u3001\u696d\u52d9\u3084\u7814\u7a76\u30fb\u8da3\u5473\u3067\u306e\u30a2\u30a4\u30c7\u30a2\u5275\u51fa\u307e\u3067\u52a0\u901f\u3055\u305b\u308b\u529b\u3092\u6301\u3063\u3066\u3044\u307e\u3059\u3002\n<\/p>\n\n<h2 id=\"exabase-claude4\">2. exaBase \u00d7 Claude 4\u306e\u5b9f\u50cf\u3068\u5f37\u307f<\/h2>\n<p>\n<strong>exaBase<\/strong>\u306f\u65e5\u672c\u767a\u306e\u6cd5\u4eba\u5411\u3051\u751f\u6210AI\u30b5\u30fc\u30d3\u30b9\u3067\u30012024\u5e74\u304b\u3089\u7c73Anthropic\u793e\u306e\u6700\u65b0AI\u300cClaude Opus 4\u300d\u300cClaude Sonnet 4\u300d\u3092\u642d\u8f09\u3002\u30a8\u30f3\u30bf\u30fc\u30d7\u30e9\u30a4\u30ba\u54c1\u8cea\u3067Python\/R\/SQL\/\u5404\u7a2e\u30e9\u30a4\u30d6\u30e9\u30ea\u5bfe\u5fdc\u306e\u30b3\u30fc\u30c9\u751f\u6210\u3084\u30ec\u30d3\u30e5\u30fc\u652f\u63f4\u304c\u53d7\u3051\u3089\u308c\u307e\u3059\u3002\n<\/p>\n<ul>\n <li>\u81a8\u5927\u306a\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u3084\u65e5\u672c\u8a9e\u8cc7\u6599\u3082\u5b66\u7fd2\u6e08\u307f<\/li>\n <li>API\u30fbGUI\u4e21\u5bfe\u5fdc\u3001\u793e\u5185\u30b7\u30b9\u30c6\u30e0\u9023\u643a\u3082\u67d4\u8edf<\/li>\n <li>\u9ad8\u3044\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u57fa\u6e96\uff08\u65e5\u672c\u306e\u6cd5\u5f8b\u30fb\u30ac\u30a4\u30c9\u30e9\u30a4\u30f3\u5bfe\u5fdc\uff09<\/li>\n<\/ul>\n<p>\n<b>Claude 4\u7cfb<\/b>\u306f\u3001\u9577\u6587\u7406\u89e3\u30fb\u9ad8\u5ea6\u306a\u8ad6\u7406\u63a8\u8ad6\u30fb\u81ea\u7136\u8a00\u8a9e\u306b\u3088\u308b\u610f\u56f3\u89e3\u91c8\u306b\u79c0\u3067\u3066\u3044\u307e\u3059\u3002\u300c\u3053\u3046\u3044\u3046\u30c7\u30fc\u30bf\u304c\u3042\u308b\u3002\u3069\u306e\u30e2\u30c7\u30eb\u304c\u3088\u3044\u304b\uff1f\u300d\u300c\u3053\u306e\u4eee\u8aac\u3092Python\u3067\u691c\u8a3c\u3057\u305f\u3044\u300d\u3068\u65e5\u672c\u8a9e\u3067\u76f8\u8ac7\u53ef\u80fd\u3002\n<\/p>\n<div class=\"sample\">\n\u4f8b\uff1a<br>\n\u300c\u58f2\u4e0a\u3068\u5e83\u544a\u8cbb\u306e\u76f8\u95a2\u3092\u898b\u308b\u30d9\u30a4\u30ba\u30e2\u30c7\u30eb\u3092Python\u3067\u66f8\u3044\u3066\u3002\u30c7\u30fc\u30bf\u5f62\u5f0f\u306fcsv\u3002PyMC\u3067\u56de\u5e30\u5206\u6790\u3092\u3084\u3063\u3066\u300d<br>\n\u2192 Claude 4\u306f\u81ea\u52d5\u3067\u5fc5\u8981\u306aimport\u3001\u30e2\u30c7\u30eb\u5b9a\u7fa9\u3001\u53ef\u8996\u5316\u307e\u3067\u63d0\u793a\n<\/div>\n\n<h2 id=\"bayes-basic\">3. \u30d9\u30a4\u30ba\u7d71\u8a08\u3068\u30e2\u30c7\u30ea\u30f3\u30b0\u306e\u57fa\u790e<\/h2>\n<p>\n\u300c\u30d9\u30a4\u30ba\u7d71\u8a08\uff1d\u96e3\u3057\u3044\u300d\u3068\u601d\u308f\u308c\u304c\u3061\u3067\u3059\u304c\u3001\u4ed5\u7d44\u307f\u306f\u30b7\u30f3\u30d7\u30eb\u3067\u3059\u3002<br>\n<strong>\u4e8b\u524d\u5206\u5e03<\/strong>\uff08prior\uff09\uff0b<strong>\u30c7\u30fc\u30bf<\/strong>\uff08likelihood\uff09\u2192 <strong>\u4e8b\u5f8c\u5206\u5e03<\/strong>\uff08posterior\uff09\u3068\u3044\u3046\u300c\u65b0\u3057\u3044\u60c5\u5831\u304c\u5165\u308b\u305f\u3073\u306b\u8003\u3048\u3092\u30a2\u30c3\u30d7\u30c7\u30fc\u30c8\u300d\u3059\u308b\u67a0\u7d44\u307f\u3067\u3059\u3002\n<\/p>\n<blockquote>\n<b>\u3010\u5fdc\u7528\u30b7\u30fc\u30f3\u3011<\/b>\n<ul>\n <li>\u30de\u30fc\u30b1\u30c6\u30a3\u30f3\u30b0\uff08\u8cfc\u8cb7\u7387\u4e88\u6e2c\u30fbA\/B\u30c6\u30b9\u30c8\uff09<\/li>\n <li>\u5de5\u696d\u54c1\u8cea\u7ba1\u7406\uff08\u4e0d\u826f\u54c1\u7387\u63a8\u5b9a\uff09<\/li>\n <li>\u753b\u50cf\u89e3\u6790\u30fb\u533b\u7642\u8a3a\u65ad\uff08\u816b\u760d\u5224\u5b9a\u306e\u78ba\u7387\u8a55\u4fa1\uff09<\/li>\n <li>\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\uff08\u30ad\u30fc\u30ef\u30fc\u30c9\u62bd\u51fa\u30fb\u611f\u60c5\u5206\u6790\uff09<\/li>\n <li>\u8da3\u5473\uff08\u30b9\u30dd\u30fc\u30c4\u306e\u52dd\u7387\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\uff09<\/li>\n<\/ul>\n<\/blockquote>\n<p>\n\u5f93\u6765\u306fStan\u3001PyMC\u3001JAGS\u306a\u3069\u5c02\u9580\u7684\u306a\u8a00\u8a9e\u3084\u30c4\u30fc\u30eb\u304c\u5fc5\u8981\u3067\u3001\u5b9f\u88c5\u306b\u304b\u306a\u308a\u306e\u52b4\u529b\u304c\u304b\u304b\u308a\u307e\u3057\u305f\u3002\u3053\u3053\u306b\u751f\u6210AI\u304c\u9769\u547d\u3092\u8d77\u3053\u3057\u307e\u3059\u3002\n<\/p>\n\n<h2 id=\"bayes-explained\">4.\u30d9\u30a4\u30ba\u7d71\u8a08\u3068\u306f\uff1f\u2015 \u4ed5\u7d44\u307f\u3068\u57fa\u790e\uff5eAI\u751f\u6210\u00d7\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u624b\u9806\u3068\u5b9f\u7528\u30b5\u30f3\u30d7\u30eb<\/h2>\n<p>\n<strong>\u30d9\u30a4\u30ba\u7d71\u8a08<\/strong>\u3068\u306f\u3001\u300c\u65b0\u3057\u3044\u60c5\u5831\uff08\u30c7\u30fc\u30bf\uff09\u304c\u5f97\u3089\u308c\u308b\u305f\u3073\u306b\u3001\u78ba\u7387\u7684\u306a\u4eee\u8aac\u3084\u4e88\u6e2c\u3092\u66f4\u65b0\u3059\u308b\u300d\u7d71\u8a08\u624b\u6cd5\u3067\u3059\u3002<br>\n\u305f\u3068\u3048\u3070\u3001\u300c\u65b0\u5546\u54c1\u306e\u58f2\u308c\u308b\u78ba\u7387\u300d\u300c\u85ac\u5264\u304c\u52b9\u304f\u78ba\u7387\u300d\u300c\u30b9\u30dd\u30fc\u30c4\u30c1\u30fc\u30e0\u304c\u52dd\u3064\u78ba\u7387\u300d\u306a\u3069\u3001<b>\u672a\u77e5\u306e\u78ba\u7387<\/b>\u3092\u4e8b\u524d\u306e\u4e88\u60f3\uff08\uff1d\u4e8b\u524d\u5206\u5e03\uff09\u304b\u3089\u30b9\u30bf\u30fc\u30c8\u3057\u3001\u30c7\u30fc\u30bf\u306b\u57fa\u3065\u3044\u3066\u30a2\u30c3\u30d7\u30c7\u30fc\u30c8\u3057\u3066\u3044\u304f\u306e\u304c\u7279\u5fb4\u3067\u3059\u3002\n<\/p>\n<ul>\n <li>\u201c\u63a8\u8ad6\u201d\u306e\u6839\u62e0\u304c\u660e\u78ba\u3067\u300c\u76f4\u611f\u7684\u306a\u610f\u601d\u6c7a\u5b9a\u300d\u306b\u3082\u306a\u3058\u3080<\/li>\n <li>\u5c11\u306a\u3044\u30c7\u30fc\u30bf\u30fb\u4e0d\u78ba\u5b9f\u306a\u72b6\u6cc1\u3067\u3082\u300c\u78ba\u7387\u7684\u306a\u7d50\u8ad6\u300d\u3092\u51fa\u305b\u308b<\/li>\n <li>\u533b\u7642\u3001\u30d3\u30b8\u30cd\u30b9\u3001AI\u7814\u7a76\u3001\u8da3\u5473\u5206\u6790\u307e\u3067\u5e45\u5e83\u304f\u5fdc\u7528<\/li>\n<\/ul>\n\n<p>\n\u53c2\u8003\uff1a \n<a href=\"https:\/\/www.youtube.com\/watch?v=I7jiPkYUjGo\" target=\"_blank\" rel=\"noopener\">\u30109\u5206\u3067\u5206\u304b\u308b\u3011\u30d9\u30a4\u30ba\u7d71\u8a08\u5b66\u306e\u5165\u9580\u57fa\u790e\u3092\u89e3\u8aac\uff01<\/a><br>\n<a href=\"https:\/\/zenn.dev\/pe\/articles\/157b058af205ec\" target=\"_blank\" rel=\"noopener\">Python \u3067\u3059\u3089\u3059\u3089\u308f\u304b\u308b\u30d9\u30a4\u30ba\u63a8\u8ad6\u300c\u8d85\u300d\u5165\u9580\u3000\u30e1\u30e2<\/a><br>\n<a href=\"https:\/\/pymc-examples.readthedocs.io\/en\/latest\/index.html\" target=\"_blank\" rel=\"noopener\">PyMC\u516c\u5f0f\uff1a\u5b9f\u4f8b\u96c6\uff08\u82f1\u8a9e\uff09<\/a>\n<\/p>\n\n<h3>\u7c21\u5358\u306a\u30d9\u30a4\u30ba\u7d71\u8a08\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u4f8b<\/h3>\n<p>\u300c\u30b3\u30a4\u30f3\u6295\u3052\u300d\u3067\u8868\u304c\u51fa\u308b\u78ba\u7387\uff08p\uff09\u3092\u63a8\u5b9a\u3057\u305f\u3044\u3001\u3068\u3044\u3046\u8d85\u30b7\u30f3\u30d7\u30eb\u306a\u30d9\u30a4\u30ba\u63a8\u8ad6\u4f8b\uff08Python\/PyMC\uff09\u3067\u3059\u3002<\/p>\n<pre><code>\nimport pymc as pm\nimport arviz as az\n\n# \u4f8b: 10\u56de\u6295\u3052\u3066\u8868\u304c7\u56de\u51fa\u305f\u3068\u304d\nwith pm.Model() as model:\n p = pm.Beta('p', alpha=1, beta=1) # \u4e8b\u524d\u5206\u5e03: \u4e00\u69d8\u5206\u5e03\n obs = pm.Binomial('obs', n=10, p=p, observed=7)\n trace = pm.sample(1000, random_seed=123)\n\naz.plot_posterior(trace, var_names=['p'])\n<\/code><\/pre>\n<p>\n\u3053\u306e\u4f8b\u3067\u306f\u300c\u4e8b\u524d\u5206\u5e03\uff08p\u306f0\uff5e1\u306e\u9593\u3067\u7b49\u78ba\u7387\uff09\u300d\u2192\u300c10\u56de\u4e2d7\u56de\u8868\u304c\u51fa\u305f\u30c7\u30fc\u30bf\u300d\u2192\u300c\u4e8b\u5f8c\u5206\u5e03\uff08p\u306e\u3042\u308a\u5f97\u308b\u5024\u306e\u78ba\u7387\u5206\u5e03\uff09\u300d\u304c\u53ef\u8996\u5316\u3055\u308c\u307e\u3059\u3002<br>\n\u5b9f\u52d9\u3084\u8da3\u5473\u5206\u6790\u3067\u3082\u3001\u3053\u306e\u4ed5\u7d44\u307f\u3092\u62e1\u5f35\u3057\u3066\u4f7f\u3046\u306e\u304c\u30d9\u30a4\u30ba\u7d71\u8a08\u3067\u3059\u3002\n<\/p>\n\n<h2 id=\"business-case\">5. \u30d3\u30b8\u30cd\u30b9\u30fb\u5b66\u8853\u30fb\u8da3\u5473\u3067\u306e\u5fdc\u7528\u4e8b\u4f8b<\/h2>\n<h3>\uff081\uff09\u30d3\u30b8\u30cd\u30b9\uff1a\u9700\u8981\u4e88\u6e2c\u3068\u610f\u601d\u6c7a\u5b9a\u306e\u7cbe\u5ea6UP<\/h3>\n<div class=\"sample\">\n\u4f8b\uff1a\u5c0f\u58f2\u5e97\u306ePOS\u30c7\u30fc\u30bf\u304b\u3089\u300c\u65b0\u5546\u54c1\u306e\u58f2\u308c\u7b4b\u4e88\u6e2c\u300d\u3092\u30d9\u30a4\u30ba\u56de\u5e30\u3067\u3002<br>\nAI\u304c\n<ul>\n <li>\u30c7\u30fc\u30bf\u52a0\u5de5\u30fb\u7279\u5fb4\u91cf\u9078\u5b9a<\/li>\n <li>\u4e8b\u524d\u5206\u5e03\u8a2d\u5b9a\u306e\u30a2\u30c9\u30d0\u30a4\u30b9<\/li>\n <li>\u610f\u601d\u6c7a\u5b9a\u306b\u76f4\u7d50\u3059\u308b\u78ba\u7387\u4e88\u6e2c\u307e\u3067\u81ea\u52d5\u5316\n <\/li>\n<\/ul>\n<\/div>\n<h3>\uff082\uff09\u5b66\u8853\uff1a\u7814\u7a76\u4eee\u8aac\u306e\u691c\u8a3c\u52b9\u7387\u5316<\/h3>\n<div class=\"sample\">\n\u4f8b\uff1a\u533b\u7642\u5206\u91ce\u306e\u300c\u85ac\u5264A\u304c\u75c7\u72b6\u6539\u5584\u306b\u52b9\u304f\u78ba\u7387\u300d\u3092\u63a8\u5b9a\u3002<br>\nAI\u306f\n<ul>\n <li>\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u8a2d\u8a08\u3001\u7d71\u8a08\u7684\u691c\u51fa\u529b\u306e\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3<\/li>\n <li>\u518d\u73fe\u6027\u306e\u9ad8\u3044\u30b3\u30fc\u30c9\u751f\u6210\uff0b\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u81ea\u52d5\u4f5c\u6210<\/li>\n<\/ul>\n<\/div>\n<h3>\uff083\uff09\u8da3\u5473\u30fb\u81ea\u5df1\u7814\u947d\uff1a\u30b9\u30dd\u30fc\u30c4\/\u30b2\u30fc\u30e0\/\u63a8\u3057\u6d3b\u3082OK<\/h3>\n<div class=\"sample\">\n\u4f8b\uff1a\u63a8\u3057\u30a2\u30a4\u30c9\u30eb\u306e\u7dcf\u9078\u6319\u52dd\u7387\u3092\u30d9\u30a4\u30ba\u63a8\u5b9a\u3001\u91ce\u7403\u306e\u52dd\u7387\u8a08\u7b97\u3001\u30dc\u30fc\u30c9\u30b2\u30fc\u30e0\u306e\u6226\u7565\u6700\u9069\u5316\u306a\u3069<br>\n\u300c\u25cb\u25cb\u3057\u305f\u3044\u300d\u3068AI\u306b\u76f8\u8ac7\u3059\u308c\u3070\u3001\u5373\u6642\u30b5\u30f3\u30d7\u30eb\u304c\u51fa\u3066\u304d\u3066\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u3082\u53ef\u80fd\u3002\n<\/div>\n\n<h2 id=\"risk\">6. \u9650\u754c\u30fb\u6ce8\u610f\u70b9\u3068\u4eca\u5f8c\u306e\u5c55\u671b<\/h2>\n<ul>\n <li>AI\u304c\u51fa\u3057\u305f\u30b3\u30fc\u30c9\u306f\u300c\u7d76\u5bfe\u306b\u6b63\u3057\u3044\u300d\u308f\u3051\u3067\u306f\u306a\u3044\uff08\u8ad6\u7406\/\u8a08\u7b97\/\u502b\u7406\u30df\u30b9\u306e\u30ea\u30b9\u30af\uff09<\/li>\n <li>\u7279\u306b\u30d9\u30a4\u30ba\u63a8\u8ad6\u306f\u300c\u4e8b\u524d\u5206\u5e03\u306e\u4e3b\u89b3\u6027\u300d\u3084\u300c\u53ce\u675f\u5224\u5b9a\u300d\u306a\u3069\u4eba\u9593\u306e\u76e3\u7763\u304c\u91cd\u8981<\/li>\n <li>\u6a5f\u5bc6\u30c7\u30fc\u30bf\u306f\u5341\u5206\u306a\u30ac\u30fc\u30c9\u4e0b\u3067\u904b\u7528\u3092\uff08\u6cd5\u4eba\u30b5\u30fc\u30d3\u30b9\u306a\u3089exaBase\u304c\u5b89\u5168\uff09<\/li>\n<\/ul>\n<div class=\"warn\">\n\u73fe\u6642\u70b9\u3067\u306f\u300cAI\u3092\u8ce2\u3044\u30a2\u30b7\u30b9\u30bf\u30f3\u30c8\u300d\u3068\u5272\u308a\u5207\u308a\u3001\u6700\u7d42\u7684\u306a\u610f\u601d\u6c7a\u5b9a\u30fb\u502b\u7406\u5224\u65ad\u306f\u5fc5\u305a\u4eba\u9593\u304c\u884c\u3044\u307e\u3057\u3087\u3046\u3002\n<\/div>\n<p>\n\u4eca\u5f8c\u306f\u300cAI\u81ea\u8eab\u304c\u4e8b\u524d\u5206\u5e03\u3092\u30c7\u30fc\u30bf\u304b\u3089\u63d0\u6848\u300d\u3057\u305f\u308a\u3001\u300c\u8907\u6570\u306e\u4eee\u8aac\u3092\u540c\u6642\u306b\u6bd4\u8f03\u300d\u300c\u53ef\u8996\u5316\u3084\u30ec\u30dd\u30fc\u30c8\u4f5c\u6210\u3082\u4e00\u62ec\u81ea\u52d5\u5316\u300d\u306a\u3069\u9032\u5316\u304c\u898b\u8fbc\u307e\u308c\u307e\u3059\u3002<br>\nAI \u00d7 \u30d9\u30a4\u30ba\u3067\u300c\u8ab0\u3067\u3082\u300d\u9ad8\u5ea6\u306a\u610f\u601d\u6c7a\u5b9a\u304c\u3067\u304d\u308b\u793e\u4f1a\u306f\u3059\u3050\u305d\u3053\u3067\u3059\u3002\n<\/p>\n\n<h2 id=\"qanda\">7. \u3088\u304f\u3042\u308b\u8cea\u554fQ&A<\/h2>\n<div class=\"qa\">\n<b>Q1. \u82f1\u8a9e\u304c\u3067\u304d\u306a\u304f\u3066\u3082\u4f7f\u3048\u308b\uff1f<\/b><br>\nA. exaBase\u3084Claude 4\u306f\u65e5\u672c\u8a9e\u5bfe\u5fdc\u306a\u306e\u3067\u3001\u82f1\u8a9e\u4e0d\u8981\u3002\u5c02\u9580\u7528\u8a9e\u3082\u65e5\u672c\u8a9e\u3067\u6307\u793a\u3067\u304d\u307e\u3059\u3002\n<\/div>\n<div class=\"qa\">\n<b>Q2. PyMC\u3084Stan\u3001\u3069\u3061\u3089\u304c\u826f\u3044\uff1f<\/b><br>\nA. AI\u306f\u4e21\u65b9\u306e\u30b3\u30fc\u30c9\u304c\u66f8\u3051\u307e\u3059\u3002\u901f\u5ea6\u30fb\u67d4\u8edf\u6027\u306fStan\u3001Python\u9023\u643a\u3084\u5b66\u7fd2\u30b3\u30b9\u30c8\u306fPyMC\u304c\u6709\u5229\u3067\u3059\u3002\n<\/div>\n<div class=\"qa\">\n<b>Q3. \u5b66\u751f\u3084\u975e\u30a8\u30f3\u30b8\u30cb\u30a2\u3082\u4f7f\u3048\u308b\uff1f<\/b><br>\nA. \u751f\u6210AI\u306e\u81ea\u7136\u8a00\u8a9e\u5bfe\u8a71\u3068\u3001Jupyter\u30ce\u30fc\u30c8\u5f62\u5f0f\u51fa\u529b\u3067\u3001\u521d\u5fc3\u8005\u3067\u3082\u300c\u8a66\u3057\u306a\u304c\u3089\u5b66\u3076\u300d\u30b9\u30bf\u30a4\u30eb\u304c\u5b9f\u73fe\u3067\u304d\u307e\u3059\u3002\n<\/div>\n<div class=\"qa\">\n<b>Q4. \u6cd5\u4eba\u5229\u7528\u6642\u306e\u60c5\u5831\u6f0f\u6d29\u306f\uff1f<\/b><br>\nA. exaBase\u306f\u6cd5\u4eba\u5411\u3051\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u3092\u91cd\u8996\u3002\u696d\u52d9\u7528\u9014\u306a\u3089\u30af\u30e9\u30a6\u30c9\/\u30aa\u30f3\u30d7\u30ec\u4e21\u5bfe\u5fdc\u3082\u76f8\u8ac7\u53ef\u80fd\u3002\n<\/div>\n\n<h2 id=\"summary\">8. \u307e\u3068\u3081<\/h2>\n<p>\nAI\u6642\u4ee3\u306e\u7d71\u8a08\u30e2\u30c7\u30ea\u30f3\u30b0\u306f\u3001\u3082\u306f\u3084\u300c\u5c02\u9580\u5bb6\u3060\u3051\u306e\u3082\u306e\u300d\u3067\u306f\u3042\u308a\u307e\u305b\u3093\u3002<br>\n<b>exaBase \u00d7 Claude 4<\/b>\u306e\u3088\u3046\u306a\u6700\u65b0\u751f\u6210AI\u306f\u3001<span class=\"highlight\">\u30d9\u30a4\u30ba\u7d71\u8a08\u30e2\u30c7\u30ea\u30f3\u30b0\u3092\u8ab0\u3082\u304c\u624b\u8efd\u306b\u6d3b\u7528\u3067\u304d\u308b<\/span>\u793e\u4f1a\u3092\u73fe\u5b9f\u306b\u3057\u3064\u3064\u3042\u308a\u307e\u3059\u3002<br>\n\u5b66\u3073\u3001\u4ed5\u4e8b\u3001\u8da3\u5473\u2026\u3069\u3093\u306a\u30b7\u30fc\u30f3\u3067\u3082\u300c\u3084\u308a\u305f\u3044\u3053\u3068\u300d\u3092\u8a00\u8a9e\u5316\u3057\u3066AI\u306b\u6295\u3052\u308b\u3060\u3051\u3002\u4eba\u9593\u306f\u3088\u308a\u5275\u9020\u7684\u306a\u554f\u3044\u30fb\u610f\u601d\u6c7a\u5b9a\u30fb\u6d3b\u7528\u306b\u5c02\u5ff5\u3067\u304d\u308b\u6642\u4ee3\u3078\u3002\n<\/p>\n<div class=\"point\">\n<b>\u4eca\u3053\u305d\u3001AI\u3068\u3068\u3082\u306b\u7d71\u8a08\u601d\u8003\u3092\u6b66\u5668\u306b\uff01<br>\u307e\u305a\u306f\u3001AI\u30a2\u30b7\u30b9\u30bf\u30f3\u30c8\u306b\u300c\u30d9\u30a4\u30ba\u56de\u5e30\u3084\u308a\u305f\u3044\u300d\u3068\u6295\u3052\u3066\u307f\u3066\u304f\u3060\u3055\u3044\u3002<\/b>\n<\/div>\n<footer style=\"margin-top:3em; color:#888;\">\u00a9 2025 Beeknowledge Design\uff5cAI\u3068\u7d71\u8a08\u5b66\u306e\u6700\u524d\u7dda<\/footer>\n<\/body>\n<\/html>\n\n","protected":false},"excerpt":{"rendered":"<p>Statistical Coding with AI: exaBase \u00d7 Claude 4\u3067\u30d9\u30a4\u30ba\u30e2\u30c7\u30eb\u4f5c\u6210\u3092\u9ad8\u901f\u5316 \u76ee\u6b21 AI\u6642\u4ee3\u306e\u7d71\u8a08\u30e2\u30c7\u30ea\u30f3\u30b0 \u2015 \u306a\u305c\u3044\u307eAI\u00d7\u30d9\u30a4\u30ba\u306a\u306e\u304b\uff1f exaBase \u00d7 Claude […]<\/p>\n","protected":false},"author":1,"featured_media":1438,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"saved_in_kubio":false,"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_uf_show_specific_survey":0,"_uf_disable_surveys":false,"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"vkexunit_cta_each_option":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-1433","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-1"],"aioseo_notices":[],"jetpack_featured_media_url":"https:\/\/beeknowledge.co.jp\/wp-content\/uploads\/2025\/06\/0kc3t70.jpg","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/beeknowledge.co.jp\/index.php?rest_route=\/wp\/v2\/posts\/1433","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/beeknowledge.co.jp\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/beeknowledge.co.jp\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/beeknowledge.co.jp\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/beeknowledge.co.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1433"}],"version-history":[{"count":3,"href":"https:\/\/beeknowledge.co.jp\/index.php?rest_route=\/wp\/v2\/posts\/1433\/revisions"}],"predecessor-version":[{"id":1439,"href":"https:\/\/beeknowledge.co.jp\/index.php?rest_route=\/wp\/v2\/posts\/1433\/revisions\/1439"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/beeknowledge.co.jp\/index.php?rest_route=\/wp\/v2\/media\/1438"}],"wp:attachment":[{"href":"https:\/\/beeknowledge.co.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1433"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/beeknowledge.co.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1433"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/beeknowledge.co.jp\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1433"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}

$\"\"$ <\/div>\n\n\n\n \n Statistical Coding with AI: exaBase \u00d7 Claude 4\u3067\u30d9\u30a4\u30ba\u30e2\u30c7\u30eb\u4f5c\u6210\u3092\u9ad8\u901f\u5316<\/title>\n <meta name=\"description\" content=\"exaBase \u00d7 Claude 4\u3092\u6d3b\u7528\u3057\u305f\u30d9\u30a4\u30ba\u7d71\u8a08\u30fb\u7d71\u8a08\u30e2\u30c7\u30ea\u30f3\u30b0\u306e\u65b0\u3057\u3044\u5b9f\u8df5\u65b9\u6cd5\u3092\u5fb9\u5e95\u89e3\u8aac\u3002Python\u30b5\u30f3\u30d7\u30eb\u3084\u30d3\u30b8\u30cd\u30b9\/\u7814\u7a76\/\u8da3\u5473\u5fdc\u7528\u4e8b\u4f8b\u3082\u6e80\u8f09\u3002\">\n <meta name=\"viewport\" content=\"width=device-width,initial-scale=1\">\n <style>\n body {font-family: \"Yu Gothic\", \"Meiryo\", sans-serif; line-height: 1.9; margin: 2em; color: #24292f;}\n h1, h2, h3 {color: #263372;}\n code, pre {background: #f3f3fa; border-radius: 5px; padding: 2px 6px;}\n pre {padding: 1em;}\n blockquote {background: #f8f9fa; border-left: 5px solid #74a9cf; margin: 1.5em 0; padding: 1em;}\n ul, ol {margin-left: 2em;}\n .point {background: #e0f7fa; border-radius: 5px; padding: 0.7em; margin: 1.5em 0;}\n .toc {background: #f4f8fb; border-left: 4px solid #9ad0ec; padding: 1em; margin-bottom: 2em;}\n .qa {background: #fffbe0; border-radius: 4px; padding: 0.5em 1em; margin: 1.5em 0;}\n .sample {background: #e9f5ec; padding: 0.7em; border-radius: 4px;}\n .highlight {color: #2767aa; font-weight: bold;}\n .warn {color: #b71c1c; font-weight: bold;}\n <\/style>\n<\/head>\n<body>\n\n\n<div class=\"toc\">\n <strong>\u76ee\u6b21<\/strong>\n <ol>\n <li><a href=\"#intro\">AI\u6642\u4ee3\u306e\u7d71\u8a08\u30e2\u30c7\u30ea\u30f3\u30b0 \u2015 \u306a\u305c\u3044\u307eAI\u00d7\u30d9\u30a4\u30ba\u306a\u306e\u304b\uff1f<\/a><\/li>\n <li><a href=\"#exabase-claude4\">exaBase \u00d7 Claude 4\u306e\u5b9f\u50cf\u3068\u5f37\u307f<\/a><\/li>\n <li><a href=\"#bayes-basic\">\u30d9\u30a4\u30ba\u7d71\u8a08\u3068\u30e2\u30c7\u30ea\u30f3\u30b0\u306e\u57fa\u790e<\/a><\/li>\n <li><a href=\"#ai-coding-flow\">\u30d9\u30a4\u30ba\u7d71\u8a08\u3068\u306f\uff1f\u2015 \u4ed5\u7d44\u307f\u3068\u57fa\u790e\uff5eAI\u751f\u6210\u00d7\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u624b\u9806\u3068\u5b9f\u7528\u30b5\u30f3\u30d7\u30eb<\/a><\/li>\n <li><a href=\"#business-case\">\u30d3\u30b8\u30cd\u30b9\u30fb\u5b66\u8853\u30fb\u8da3\u5473\u3067\u306e\u5fdc\u7528\u4e8b\u4f8b<\/a><\/li>\n <li><a href=\"#risk\">\u9650\u754c\u30fb\u6ce8\u610f\u70b9\u3068\u4eca\u5f8c\u306e\u5c55\u671b<\/a><\/li>\n <li><a href=\"#qanda\">\u3088\u304f\u3042\u308b\u8cea\u554fQ&A<\/a><\/li>\n <li><a href=\"#summary\">\u307e\u3068\u3081<\/a><\/li>\n <\/ol>\n<\/div>\n\n<h2 id=\"intro\">1. AI\u6642\u4ee3\u306e\u7d71\u8a08\u30e2\u30c7\u30ea\u30f3\u30b0 \u2015 \u306a\u305c\u3044\u307eAI\u00d7\u30d9\u30a4\u30ba\u306a\u306e\u304b\uff1f<\/h2>\n<p>\n\u8fd1\u5e74\u3001AI\u30fb\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u306e\u666e\u53ca\u3067\u300c\u7d71\u8a08\u5b66\u300d\u304c\u518d\u3073\u811a\u5149\u3092\u6d74\u3073\u3066\u3044\u307e\u3059\u3002\u7279\u306b<strong>\u30d9\u30a4\u30ba\u7d71\u8a08<\/strong>\u306f\u3001\u4e0d\u78ba\u5b9f\u6027\u3092\u6271\u3046\u73fe\u5b9f\u7684\u306a\u610f\u601d\u6c7a\u5b9a\u306b\u5f37\u304f\u3001AI\u306e\u300c\u4e88\u6e2c\u300d\u300c\u5206\u985e\u300d\u300c\u6700\u9069\u5316\u300d\u306a\u3069\u5e45\u5e83\u3044\u5fdc\u7528\u304c\u53ef\u80fd\u3067\u3059\u3002\n<\/p>\n<div class=\"point\">\n\u73fe\u5834\u3067\u3088\u304f\u805e\u304f\u60a9\u307f\uff1a<br>\n\u300c\u7d71\u8a08\u30e2\u30c7\u30eb\u3092\u4f5c\u308a\u305f\u3044\u304c\u3001\u6570\u5f0f\u3084\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u304c\u58c1\u2026\u300d<br>\n\u300cR\u3084Stan\u3001PyMC\u3092\u4f7f\u3044\u3053\u306a\u305b\u306a\u3044\u300d<br>\n\u300c\u6700\u5148\u7aefAI\u30c4\u30fc\u30eb\u3068\u7d44\u307f\u5408\u308f\u305b\u3066\u3001\u3082\u3063\u3068\u30e9\u30af\u306b\u9ad8\u5ea6\u306a\u5206\u6790\u3092\u3084\u308a\u305f\u3044\u300d\n<\/div>\n<p>\n\u305d\u3093\u306a\u58f0\u306b\u5fdc\u3048\u308b\u306e\u304c\u3001<span class=\"highlight\">\u751f\u6210AI\uff08\u4f8b\uff1aClaude 4\u3001exaBase\uff09\u306b\u3088\u308b\u7d71\u8a08\u30e2\u30c7\u30eb\u81ea\u52d5\u751f\u6210<\/span>\u3067\u3059\u3002\u3053\u308c\u3089\u306f\u30d9\u30a4\u30ba\u63a8\u8ad6\u306e\u5b9f\u88c5\u3060\u3051\u3067\u306a\u304f\u3001\u696d\u52d9\u3084\u7814\u7a76\u30fb\u8da3\u5473\u3067\u306e\u30a2\u30a4\u30c7\u30a2\u5275\u51fa\u307e\u3067\u52a0\u901f\u3055\u305b\u308b\u529b\u3092\u6301\u3063\u3066\u3044\u307e\u3059\u3002\n<\/p>\n\n<h2 id=\"exabase-claude4\">2. exaBase \u00d7 Claude 4\u306e\u5b9f\u50cf\u3068\u5f37\u307f<\/h2>\n<p>\n<strong>exaBase<\/strong>\u306f\u65e5\u672c\u767a\u306e\u6cd5\u4eba\u5411\u3051\u751f\u6210AI\u30b5\u30fc\u30d3\u30b9\u3067\u30012024\u5e74\u304b\u3089\u7c73Anthropic\u793e\u306e\u6700\u65b0AI\u300cClaude Opus 4\u300d\u300cClaude Sonnet 4\u300d\u3092\u642d\u8f09\u3002\u30a8\u30f3\u30bf\u30fc\u30d7\u30e9\u30a4\u30ba\u54c1\u8cea\u3067Python\/R\/SQL\/\u5404\u7a2e\u30e9\u30a4\u30d6\u30e9\u30ea\u5bfe\u5fdc\u306e\u30b3\u30fc\u30c9\u751f\u6210\u3084\u30ec\u30d3\u30e5\u30fc\u652f\u63f4\u304c\u53d7\u3051\u3089\u308c\u307e\u3059\u3002\n<\/p>\n<ul>\n <li>\u81a8\u5927\u306a\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u3084\u65e5\u672c\u8a9e\u8cc7\u6599\u3082\u5b66\u7fd2\u6e08\u307f<\/li>\n <li>API\u30fbGUI\u4e21\u5bfe\u5fdc\u3001\u793e\u5185\u30b7\u30b9\u30c6\u30e0\u9023\u643a\u3082\u67d4\u8edf<\/li>\n <li>\u9ad8\u3044\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u57fa\u6e96\uff08\u65e5\u672c\u306e\u6cd5\u5f8b\u30fb\u30ac\u30a4\u30c9\u30e9\u30a4\u30f3\u5bfe\u5fdc\uff09<\/li>\n<\/ul>\n<p>\n<b>Claude 4\u7cfb<\/b>\u306f\u3001\u9577\u6587\u7406\u89e3\u30fb\u9ad8\u5ea6\u306a\u8ad6\u7406\u63a8\u8ad6\u30fb\u81ea\u7136\u8a00\u8a9e\u306b\u3088\u308b\u610f\u56f3\u89e3\u91c8\u306b\u79c0\u3067\u3066\u3044\u307e\u3059\u3002\u300c\u3053\u3046\u3044\u3046\u30c7\u30fc\u30bf\u304c\u3042\u308b\u3002\u3069\u306e\u30e2\u30c7\u30eb\u304c\u3088\u3044\u304b\uff1f\u300d\u300c\u3053\u306e\u4eee\u8aac\u3092Python\u3067\u691c\u8a3c\u3057\u305f\u3044\u300d\u3068\u65e5\u672c\u8a9e\u3067\u76f8\u8ac7\u53ef\u80fd\u3002\n<\/p>\n<div class=\"sample\">\n\u4f8b\uff1a<br>\n\u300c\u58f2\u4e0a\u3068\u5e83\u544a\u8cbb\u306e\u76f8\u95a2\u3092\u898b\u308b\u30d9\u30a4\u30ba\u30e2\u30c7\u30eb\u3092Python\u3067\u66f8\u3044\u3066\u3002\u30c7\u30fc\u30bf\u5f62\u5f0f\u306fcsv\u3002PyMC\u3067\u56de\u5e30\u5206\u6790\u3092\u3084\u3063\u3066\u300d<br>\n\u2192 Claude 4\u306f\u81ea\u52d5\u3067\u5fc5\u8981\u306aimport\u3001\u30e2\u30c7\u30eb\u5b9a\u7fa9\u3001\u53ef\u8996\u5316\u307e\u3067\u63d0\u793a\n<\/div>\n\n<h2 id=\"bayes-basic\">3. \u30d9\u30a4\u30ba\u7d71\u8a08\u3068\u30e2\u30c7\u30ea\u30f3\u30b0\u306e\u57fa\u790e<\/h2>\n<p>\n\u300c\u30d9\u30a4\u30ba\u7d71\u8a08\uff1d\u96e3\u3057\u3044\u300d\u3068\u601d\u308f\u308c\u304c\u3061\u3067\u3059\u304c\u3001\u4ed5\u7d44\u307f\u306f\u30b7\u30f3\u30d7\u30eb\u3067\u3059\u3002<br>\n<strong>\u4e8b\u524d\u5206\u5e03<\/strong>\uff08prior\uff09\uff0b<strong>\u30c7\u30fc\u30bf<\/strong>\uff08likelihood\uff09\u2192 <strong>\u4e8b\u5f8c\u5206\u5e03<\/strong>\uff08posterior\uff09\u3068\u3044\u3046\u300c\u65b0\u3057\u3044\u60c5\u5831\u304c\u5165\u308b\u305f\u3073\u306b\u8003\u3048\u3092\u30a2\u30c3\u30d7\u30c7\u30fc\u30c8\u300d\u3059\u308b\u67a0\u7d44\u307f\u3067\u3059\u3002\n<\/p>\n<blockquote>\n<b>\u3010\u5fdc\u7528\u30b7\u30fc\u30f3\u3011<\/b>\n<ul>\n <li>\u30de\u30fc\u30b1\u30c6\u30a3\u30f3\u30b0\uff08\u8cfc\u8cb7\u7387\u4e88\u6e2c\u30fbA\/B\u30c6\u30b9\u30c8\uff09<\/li>\n <li>\u5de5\u696d\u54c1\u8cea\u7ba1\u7406\uff08\u4e0d\u826f\u54c1\u7387\u63a8\u5b9a\uff09<\/li>\n <li>\u753b\u50cf\u89e3\u6790\u30fb\u533b\u7642\u8a3a\u65ad\uff08\u816b\u760d\u5224\u5b9a\u306e\u78ba\u7387\u8a55\u4fa1\uff09<\/li>\n <li>\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\uff08\u30ad\u30fc\u30ef\u30fc\u30c9\u62bd\u51fa\u30fb\u611f\u60c5\u5206\u6790\uff09<\/li>\n <li>\u8da3\u5473\uff08\u30b9\u30dd\u30fc\u30c4\u306e\u52dd\u7387\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\uff09<\/li>\n<\/ul>\n<\/blockquote>\n<p>\n\u5f93\u6765\u306fStan\u3001PyMC\u3001JAGS\u306a\u3069\u5c02\u9580\u7684\u306a\u8a00\u8a9e\u3084\u30c4\u30fc\u30eb\u304c\u5fc5\u8981\u3067\u3001\u5b9f\u88c5\u306b\u304b\u306a\u308a\u306e\u52b4\u529b\u304c\u304b\u304b\u308a\u307e\u3057\u305f\u3002\u3053\u3053\u306b\u751f\u6210AI\u304c\u9769\u547d\u3092\u8d77\u3053\u3057\u307e\u3059\u3002\n<\/p>\n\n<h2 id=\"bayes-explained\">4.\u30d9\u30a4\u30ba\u7d71\u8a08\u3068\u306f\uff1f\u2015 \u4ed5\u7d44\u307f\u3068\u57fa\u790e\uff5eAI\u751f\u6210\u00d7\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u624b\u9806\u3068\u5b9f\u7528\u30b5\u30f3\u30d7\u30eb<\/h2>\n<p>\n<strong>\u30d9\u30a4\u30ba\u7d71\u8a08<\/strong>\u3068\u306f\u3001\u300c\u65b0\u3057\u3044\u60c5\u5831\uff08\u30c7\u30fc\u30bf\uff09\u304c\u5f97\u3089\u308c\u308b\u305f\u3073\u306b\u3001\u78ba\u7387\u7684\u306a\u4eee\u8aac\u3084\u4e88\u6e2c\u3092\u66f4\u65b0\u3059\u308b\u300d\u7d71\u8a08\u624b\u6cd5\u3067\u3059\u3002<br>\n\u305f\u3068\u3048\u3070\u3001\u300c\u65b0\u5546\u54c1\u306e\u58f2\u308c\u308b\u78ba\u7387\u300d\u300c\u85ac\u5264\u304c\u52b9\u304f\u78ba\u7387\u300d\u300c\u30b9\u30dd\u30fc\u30c4\u30c1\u30fc\u30e0\u304c\u52dd\u3064\u78ba\u7387\u300d\u306a\u3069\u3001<b>\u672a\u77e5\u306e\u78ba\u7387<\/b>\u3092\u4e8b\u524d\u306e\u4e88\u60f3\uff08\uff1d\u4e8b\u524d\u5206\u5e03\uff09\u304b\u3089\u30b9\u30bf\u30fc\u30c8\u3057\u3001\u30c7\u30fc\u30bf\u306b\u57fa\u3065\u3044\u3066\u30a2\u30c3\u30d7\u30c7\u30fc\u30c8\u3057\u3066\u3044\u304f\u306e\u304c\u7279\u5fb4\u3067\u3059\u3002\n<\/p>\n<ul>\n <li>\u201c\u63a8\u8ad6\u201d\u306e\u6839\u62e0\u304c\u660e\u78ba\u3067\u300c\u76f4\u611f\u7684\u306a\u610f\u601d\u6c7a\u5b9a\u300d\u306b\u3082\u306a\u3058\u3080<\/li>\n <li>\u5c11\u306a\u3044\u30c7\u30fc\u30bf\u30fb\u4e0d\u78ba\u5b9f\u306a\u72b6\u6cc1\u3067\u3082\u300c\u78ba\u7387\u7684\u306a\u7d50\u8ad6\u300d\u3092\u51fa\u305b\u308b<\/li>\n <li>\u533b\u7642\u3001\u30d3\u30b8\u30cd\u30b9\u3001AI\u7814\u7a76\u3001\u8da3\u5473\u5206\u6790\u307e\u3067\u5e45\u5e83\u304f\u5fdc\u7528<\/li>\n<\/ul>\n\n<p>\n\u53c2\u8003\uff1a \n<a href=\"https:\/\/www.youtube.com\/watch?v=I7jiPkYUjGo\" target=\"_blank\" rel=\"noopener\">\u30109\u5206\u3067\u5206\u304b\u308b\u3011\u30d9\u30a4\u30ba\u7d71\u8a08\u5b66\u306e\u5165\u9580\u57fa\u790e\u3092\u89e3\u8aac\uff01<\/a><br>\n<a href=\"https:\/\/zenn.dev\/pe\/articles\/157b058af205ec\" target=\"_blank\" rel=\"noopener\">Python \u3067\u3059\u3089\u3059\u3089\u308f\u304b\u308b\u30d9\u30a4\u30ba\u63a8\u8ad6\u300c\u8d85\u300d\u5165\u9580\u3000\u30e1\u30e2<\/a><br>\n<a href=\"https:\/\/pymc-examples.readthedocs.io\/en\/latest\/index.html\" target=\"_blank\" rel=\"noopener\">PyMC\u516c\u5f0f\uff1a\u5b9f\u4f8b\u96c6\uff08\u82f1\u8a9e\uff09<\/a>\n<\/p>\n\n<h3>\u7c21\u5358\u306a\u30d9\u30a4\u30ba\u7d71\u8a08\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u4f8b<\/h3>\n<p>\u300c\u30b3\u30a4\u30f3\u6295\u3052\u300d\u3067\u8868\u304c\u51fa\u308b\u78ba\u7387\uff08p\uff09\u3092\u63a8\u5b9a\u3057\u305f\u3044\u3001\u3068\u3044\u3046\u8d85\u30b7\u30f3\u30d7\u30eb\u306a\u30d9\u30a4\u30ba\u63a8\u8ad6\u4f8b\uff08Python\/PyMC\uff09\u3067\u3059\u3002<\/p>\n<pre><code>\nimport pymc as pm\nimport arviz as az\n\n# \u4f8b: 10\u56de\u6295\u3052\u3066\u8868\u304c7\u56de\u51fa\u305f\u3068\u304d\nwith pm.Model() as model:\n p = pm.Beta('p', alpha=1, beta=1) # \u4e8b\u524d\u5206\u5e03: \u4e00\u69d8\u5206\u5e03\n obs = pm.Binomial('obs', n=10, p=p, observed=7)\n trace = pm.sample(1000, random_seed=123)\n\naz.plot_posterior(trace, var_names=['p'])\n<\/code><\/pre>\n<p>\n\u3053\u306e\u4f8b\u3067\u306f\u300c\u4e8b\u524d\u5206\u5e03\uff08p\u306f0\uff5e1\u306e\u9593\u3067\u7b49\u78ba\u7387\uff09\u300d\u2192\u300c10\u56de\u4e2d7\u56de\u8868\u304c\u51fa\u305f\u30c7\u30fc\u30bf\u300d\u2192\u300c\u4e8b\u5f8c\u5206\u5e03\uff08p\u306e\u3042\u308a\u5f97\u308b\u5024\u306e\u78ba\u7387\u5206\u5e03\uff09\u300d\u304c\u53ef\u8996\u5316\u3055\u308c\u307e\u3059\u3002<br>\n\u5b9f\u52d9\u3084\u8da3\u5473\u5206\u6790\u3067\u3082\u3001\u3053\u306e\u4ed5\u7d44\u307f\u3092\u62e1\u5f35\u3057\u3066\u4f7f\u3046\u306e\u304c\u30d9\u30a4\u30ba\u7d71\u8a08\u3067\u3059\u3002\n<\/p>\n\n<h2 id=\"business-case\">5. \u30d3\u30b8\u30cd\u30b9\u30fb\u5b66\u8853\u30fb\u8da3\u5473\u3067\u306e\u5fdc\u7528\u4e8b\u4f8b<\/h2>\n<h3>\uff081\uff09\u30d3\u30b8\u30cd\u30b9\uff1a\u9700\u8981\u4e88\u6e2c\u3068\u610f\u601d\u6c7a\u5b9a\u306e\u7cbe\u5ea6UP<\/h3>\n<div class=\"sample\">\n\u4f8b\uff1a\u5c0f\u58f2\u5e97\u306ePOS\u30c7\u30fc\u30bf\u304b\u3089\u300c\u65b0\u5546\u54c1\u306e\u58f2\u308c\u7b4b\u4e88\u6e2c\u300d\u3092\u30d9\u30a4\u30ba\u56de\u5e30\u3067\u3002<br>\nAI\u304c\n<ul>\n <li>\u30c7\u30fc\u30bf\u52a0\u5de5\u30fb\u7279\u5fb4\u91cf\u9078\u5b9a<\/li>\n <li>\u4e8b\u524d\u5206\u5e03\u8a2d\u5b9a\u306e\u30a2\u30c9\u30d0\u30a4\u30b9<\/li>\n <li>\u610f\u601d\u6c7a\u5b9a\u306b\u76f4\u7d50\u3059\u308b\u78ba\u7387\u4e88\u6e2c\u307e\u3067\u81ea\u52d5\u5316\n <\/li>\n<\/ul>\n<\/div>\n<h3>\uff082\uff09\u5b66\u8853\uff1a\u7814\u7a76\u4eee\u8aac\u306e\u691c\u8a3c\u52b9\u7387\u5316<\/h3>\n<div class=\"sample\">\n\u4f8b\uff1a\u533b\u7642\u5206\u91ce\u306e\u300c\u85ac\u5264A\u304c\u75c7\u72b6\u6539\u5584\u306b\u52b9\u304f\u78ba\u7387\u300d\u3092\u63a8\u5b9a\u3002<br>\nAI\u306f\n<ul>\n <li>\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u8a2d\u8a08\u3001\u7d71\u8a08\u7684\u691c\u51fa\u529b\u306e\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3<\/li>\n <li>\u518d\u73fe\u6027\u306e\u9ad8\u3044\u30b3\u30fc\u30c9\u751f\u6210\uff0b\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u81ea\u52d5\u4f5c\u6210<\/li>\n<\/ul>\n<\/div>\n<h3>\uff083\uff09\u8da3\u5473\u30fb\u81ea\u5df1\u7814\u947d\uff1a\u30b9\u30dd\u30fc\u30c4\/\u30b2\u30fc\u30e0\/\u63a8\u3057\u6d3b\u3082OK<\/h3>\n<div class=\"sample\">\n\u4f8b\uff1a\u63a8\u3057\u30a2\u30a4\u30c9\u30eb\u306e\u7dcf\u9078\u6319\u52dd\u7387\u3092\u30d9\u30a4\u30ba\u63a8\u5b9a\u3001\u91ce\u7403\u306e\u52dd\u7387\u8a08\u7b97\u3001\u30dc\u30fc\u30c9\u30b2\u30fc\u30e0\u306e\u6226\u7565\u6700\u9069\u5316\u306a\u3069<br>\n\u300c\u25cb\u25cb\u3057\u305f\u3044\u300d\u3068AI\u306b\u76f8\u8ac7\u3059\u308c\u3070\u3001\u5373\u6642\u30b5\u30f3\u30d7\u30eb\u304c\u51fa\u3066\u304d\u3066\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u3082\u53ef\u80fd\u3002\n<\/div>\n\n<h2 id=\"risk\">6. \u9650\u754c\u30fb\u6ce8\u610f\u70b9\u3068\u4eca\u5f8c\u306e\u5c55\u671b<\/h2>\n<ul>\n <li>AI\u304c\u51fa\u3057\u305f\u30b3\u30fc\u30c9\u306f\u300c\u7d76\u5bfe\u306b\u6b63\u3057\u3044\u300d\u308f\u3051\u3067\u306f\u306a\u3044\uff08\u8ad6\u7406\/\u8a08\u7b97\/\u502b\u7406\u30df\u30b9\u306e\u30ea\u30b9\u30af\uff09<\/li>\n <li>\u7279\u306b\u30d9\u30a4\u30ba\u63a8\u8ad6\u306f\u300c\u4e8b\u524d\u5206\u5e03\u306e\u4e3b\u89b3\u6027\u300d\u3084\u300c\u53ce\u675f\u5224\u5b9a\u300d\u306a\u3069\u4eba\u9593\u306e\u76e3\u7763\u304c\u91cd\u8981<\/li>\n <li>\u6a5f\u5bc6\u30c7\u30fc\u30bf\u306f\u5341\u5206\u306a\u30ac\u30fc\u30c9\u4e0b\u3067\u904b\u7528\u3092\uff08\u6cd5\u4eba\u30b5\u30fc\u30d3\u30b9\u306a\u3089exaBase\u304c\u5b89\u5168\uff09<\/li>\n<\/ul>\n<div class=\"warn\">\n\u73fe\u6642\u70b9\u3067\u306f\u300cAI\u3092\u8ce2\u3044\u30a2\u30b7\u30b9\u30bf\u30f3\u30c8\u300d\u3068\u5272\u308a\u5207\u308a\u3001\u6700\u7d42\u7684\u306a\u610f\u601d\u6c7a\u5b9a\u30fb\u502b\u7406\u5224\u65ad\u306f\u5fc5\u305a\u4eba\u9593\u304c\u884c\u3044\u307e\u3057\u3087\u3046\u3002\n<\/div>\n<p>\n\u4eca\u5f8c\u306f\u300cAI\u81ea\u8eab\u304c\u4e8b\u524d\u5206\u5e03\u3092\u30c7\u30fc\u30bf\u304b\u3089\u63d0\u6848\u300d\u3057\u305f\u308a\u3001\u300c\u8907\u6570\u306e\u4eee\u8aac\u3092\u540c\u6642\u306b\u6bd4\u8f03\u300d\u300c\u53ef\u8996\u5316\u3084\u30ec\u30dd\u30fc\u30c8\u4f5c\u6210\u3082\u4e00\u62ec\u81ea\u52d5\u5316\u300d\u306a\u3069\u9032\u5316\u304c\u898b\u8fbc\u307e\u308c\u307e\u3059\u3002<br>\nAI \u00d7 \u30d9\u30a4\u30ba\u3067\u300c\u8ab0\u3067\u3082\u300d\u9ad8\u5ea6\u306a\u610f\u601d\u6c7a\u5b9a\u304c\u3067\u304d\u308b\u793e\u4f1a\u306f\u3059\u3050\u305d\u3053\u3067\u3059\u3002\n<\/p>\n\n<h2 id=\"qanda\">7. \u3088\u304f\u3042\u308b\u8cea\u554fQ&A<\/h2>\n<div class=\"qa\">\n<b>Q1. \u82f1\u8a9e\u304c\u3067\u304d\u306a\u304f\u3066\u3082\u4f7f\u3048\u308b\uff1f<\/b><br>\nA. exaBase\u3084Claude 4\u306f\u65e5\u672c\u8a9e\u5bfe\u5fdc\u306a\u306e\u3067\u3001\u82f1\u8a9e\u4e0d\u8981\u3002\u5c02\u9580\u7528\u8a9e\u3082\u65e5\u672c\u8a9e\u3067\u6307\u793a\u3067\u304d\u307e\u3059\u3002\n<\/div>\n<div class=\"qa\">\n<b>Q2. PyMC\u3084Stan\u3001\u3069\u3061\u3089\u304c\u826f\u3044\uff1f<\/b><br>\nA. AI\u306f\u4e21\u65b9\u306e\u30b3\u30fc\u30c9\u304c\u66f8\u3051\u307e\u3059\u3002\u901f\u5ea6\u30fb\u67d4\u8edf\u6027\u306fStan\u3001Python\u9023\u643a\u3084\u5b66\u7fd2\u30b3\u30b9\u30c8\u306fPyMC\u304c\u6709\u5229\u3067\u3059\u3002\n<\/div>\n<div class=\"qa\">\n<b>Q3. \u5b66\u751f\u3084\u975e\u30a8\u30f3\u30b8\u30cb\u30a2\u3082\u4f7f\u3048\u308b\uff1f<\/b><br>\nA. \u751f\u6210AI\u306e\u81ea\u7136\u8a00\u8a9e\u5bfe\u8a71\u3068\u3001Jupyter\u30ce\u30fc\u30c8\u5f62\u5f0f\u51fa\u529b\u3067\u3001\u521d\u5fc3\u8005\u3067\u3082\u300c\u8a66\u3057\u306a\u304c\u3089\u5b66\u3076\u300d\u30b9\u30bf\u30a4\u30eb\u304c\u5b9f\u73fe\u3067\u304d\u307e\u3059\u3002\n<\/div>\n<div class=\"qa\">\n<b>Q4. \u6cd5\u4eba\u5229\u7528\u6642\u306e\u60c5\u5831\u6f0f\u6d29\u306f\uff1f<\/b><br>\nA. exaBase\u306f\u6cd5\u4eba\u5411\u3051\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u3092\u91cd\u8996\u3002\u696d\u52d9\u7528\u9014\u306a\u3089\u30af\u30e9\u30a6\u30c9\/\u30aa\u30f3\u30d7\u30ec\u4e21\u5bfe\u5fdc\u3082\u76f8\u8ac7\u53ef\u80fd\u3002\n<\/div>\n\n<h2 id=\"summary\">8. \u307e\u3068\u3081<\/h2>\n<p>\nAI\u6642\u4ee3\u306e\u7d71\u8a08\u30e2\u30c7\u30ea\u30f3\u30b0\u306f\u3001\u3082\u306f\u3084\u300c\u5c02\u9580\u5bb6\u3060\u3051\u306e\u3082\u306e\u300d\u3067\u306f\u3042\u308a\u307e\u305b\u3093\u3002<br>\n<b>exaBase \u00d7 Claude 4<\/b>\u306e\u3088\u3046\u306a\u6700\u65b0\u751f\u6210AI\u306f\u3001<span class=\"highlight\">\u30d9\u30a4\u30ba\u7d71\u8a08\u30e2\u30c7\u30ea\u30f3\u30b0\u3092\u8ab0\u3082\u304c\u624b\u8efd\u306b\u6d3b\u7528\u3067\u304d\u308b<\/span>\u793e\u4f1a\u3092\u73fe\u5b9f\u306b\u3057\u3064\u3064\u3042\u308a\u307e\u3059\u3002<br>\n\u5b66\u3073\u3001\u4ed5\u4e8b\u3001\u8da3\u5473\u2026\u3069\u3093\u306a\u30b7\u30fc\u30f3\u3067\u3082\u300c\u3084\u308a\u305f\u3044\u3053\u3068\u300d\u3092\u8a00\u8a9e\u5316\u3057\u3066AI\u306b\u6295\u3052\u308b\u3060\u3051\u3002\u4eba\u9593\u306f\u3088\u308a\u5275\u9020\u7684\u306a\u554f\u3044\u30fb\u610f\u601d\u6c7a\u5b9a\u30fb\u6d3b\u7528\u306b\u5c02\u5ff5\u3067\u304d\u308b\u6642\u4ee3\u3078\u3002\n<\/p>\n<div class=\"point\">\n<b>\u4eca\u3053\u305d\u3001AI\u3068\u3068\u3082\u306b\u7d71\u8a08\u601d\u8003\u3092\u6b66\u5668\u306b\uff01<br>\u307e\u305a\u306f\u3001AI\u30a2\u30b7\u30b9\u30bf\u30f3\u30c8\u306b\u300c\u30d9\u30a4\u30ba\u56de\u5e30\u3084\u308a\u305f\u3044\u300d\u3068\u6295\u3052\u3066\u307f\u3066\u304f\u3060\u3055\u3044\u3002<\/b>\n<\/div>\n<footer style=\"margin-top:3em; color:#888;\">\u00a9 2025 Beeknowledge Design\uff5cAI\u3068\u7d71\u8a08\u5b66\u306e\u6700\u524d\u7dda<\/footer>\n<\/body>\n<\/html>\n\n","protected":false},"excerpt":{"rendered":"<p>Statistical Coding with AI: exaBase \u00d7 Claude 4\u3067\u30d9\u30a4\u30ba\u30e2\u30c7\u30eb\u4f5c\u6210\u3092\u9ad8\u901f\u5316 \u76ee\u6b21 AI\u6642\u4ee3\u306e\u7d71\u8a08\u30e2\u30c7\u30ea\u30f3\u30b0 \u2015 \u306a\u305c\u3044\u307eAI\u00d7\u30d9\u30a4\u30ba\u306a\u306e\u304b\uff1f exaBase \u00d7 Claude […]<\/p>\n","protected":false},"author":1,"featured_media":1438,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"saved_in_kubio":false,"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_uf_show_specific_survey":0,"_uf_disable_surveys":false,"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"vkexunit_cta_each_option":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-1433","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-1"],"aioseo_notices":[],"jetpack_featured_media_url":"https:\/\/beeknowledge.co.jp\/wp-content\/uploads\/2025\/06\/0kc3t70.jpg","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/beeknowledge.co.jp\/index.php?rest_route=\/wp\/v2\/posts\/1433","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/beeknowledge.co.jp\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/beeknowledge.co.jp\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/beeknowledge.co.jp\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/beeknowledge.co.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1433"}],"version-history":[{"count":3,"href":"https:\/\/beeknowledge.co.jp\/index.php?rest_route=\/wp\/v2\/posts\/1433\/revisions"}],"predecessor-version":[{"id":1439,"href":"https:\/\/beeknowledge.co.jp\/index.php?rest_route=\/wp\/v2\/posts\/1433\/revisions\/1439"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/beeknowledge.co.jp\/index.php?rest_route=\/wp\/v2\/media\/1438"}],"wp:attachment":[{"href":"https:\/\/beeknowledge.co.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1433"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/beeknowledge.co.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1433"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/beeknowledge.co.jp\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1433"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}