{"id":889,"date":"2023-03-30T16:36:32","date_gmt":"2023-03-30T07:36:32","guid":{"rendered":"https:\/\/home.hiroshima-u.ac.jp\/uemuram\/?p=889"},"modified":"2023-06-08T10:43:46","modified_gmt":"2023-06-08T01:43:46","slug":"%e7%89%a9%e7%90%86%e3%81%ae%e3%81%9f%e3%82%81%e3%81%ae%e3%83%87%e3%83%bc%e3%82%bf%e3%82%b5%e3%82%a4%e3%82%a8%e3%83%b3%e3%82%b9%e5%85%a5%e9%96%80-introduction-to-data-science-for-physics","status":"publish","type":"post","link":"https:\/\/home.hiroshima-u.ac.jp\/uemuram\/%e7%89%a9%e7%90%86%e3%81%ae%e3%81%9f%e3%82%81%e3%81%ae%e3%83%87%e3%83%bc%e3%82%bf%e3%82%b5%e3%82%a4%e3%82%a8%e3%83%b3%e3%82%b9%e5%85%a5%e9%96%80-introduction-to-data-science-for-physics\/","title":{"rendered":"\u7269\u7406\u306e\u305f\u3081\u306e\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u5165\u9580 (Introduction to Data Science for Physics)"},"content":{"rendered":"\n<p>\u690d\u6751\u8aa0\u300c\u7269\u7406\u306e\u305f\u3081\u306e\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u5165\u9580\u300d\u8b1b\u8ac7\u793e\u30012023\u5e743\u6708\u3001<a href=\"https:\/\/www.amazon.co.jp\/dp\/406530993X\/\" data-type=\"URL\" data-id=\"https:\/\/www.amazon.co.jp\/dp\/406530993X\/\" target=\"_blank\" rel=\"noreferrer noopener\">amazon<\/a><\/p>\n\n\n\n<p>A textbook written in Japanese<\/p>\n\n\n\n<p>\u76ee\u6b21<\/p>\n\n\n\n<p>\u7b2c0\u7ae0\u3000\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u3001\u6a5f\u68b0\u5b66\u7fd2\u30fb\u30fb\u30fb\u4f55\u304c\u5b09\u3057\u3044\u306e\uff1f<\/p>\n\n\n\n<p>\u7b2c1\u7ae0\u3000\u63a8\u5b9a\u3068\u691c\u5b9a  (Statistical estimation and test)<br>1.1\u3000\u30c7\u30fc\u30bf\u306b\u6700\u9069\u306a\u30e2\u30c7\u30eb\uff1a\u5c24\u5ea6\u3001\u6700\u5c24\u63a8\u5b9a\u3001\u6700\u5c0f\u4e8c\u4e57\u6cd5<br>1.2\u3000\u30e2\u30c7\u30eb\u306e\u4e0d\u5b9a\u6027\uff1a\u03c72\u5206\u5e03\u3001\u4eee\u8aac\u691c\u5b9a\u3001\u4fe1\u983c\u533a\u9593<\/p>\n\n\n\n<p>\u7b2c2\u7ae0\u3000\u9ad8\u6b21\u5143\u306e\u30e2\u30c7\u30eb\u3078  (To the world of high-dimensional models)<br>2.1\u3000\u30e2\u30c7\u30eb\u306e\u904e\u9069\u5408\u3068\u6c4e\u5316\u6027\u80fd<br>2.2\u3000\u6700\u9069\u5316\u3068\u5c40\u6240\u89e3<\/p>\n\n\n\n<p>\u7b2c3\u7ae0\u3000\u30d9\u30a4\u30ba\u30e2\u30c7\u30ea\u30f3\u30b0  (Bayesian modeling)<br>3.1\u3000\u30e2\u30c7\u30eb\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u78ba\u7387\u5909\u6570\u306b<br>3.2\u3000\u30d9\u30a4\u30ba\u306e\u5b9a\u7406<br>3.3\u3000\u4f8b\u984c1\uff1a\u65b0\u578b\u30b3\u30ed\u30ca\u306ePCR\u691c\u67fb<br>3.4\u3000\u4f8b\u984c2\uff1a\u30b9\u30d1\u30e0\u30d5\u30a3\u30eb\u30bf\u30fc<br>3.5\u3000\u4f8b\u984c3\uff1a\u6ed1\u3089\u304b\u306a\u66f2\u7dda<\/p>\n\n\n\n<p>\u7b2c4\u7ae0\u3000\u30de\u30eb\u30b3\u30d5\u9023\u9396\u30e2\u30f3\u30c6\u30ab\u30eb\u30ed\u6cd5  (Markov chain Monte Carlo methods)<br>4.1\u3000\u78ba\u7387\u5206\u5e03\u304b\u3089\u306e\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0<br>4.2\u3000MCMC\u306e\u539f\u7406<br>4.3\u3000\u69d8\u3005\u306a\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0<br>4.4\u3000\u5b9f\u8df5\u4f8b1\uff1a\u6d3b\u52d5\u9280\u6cb3\u6838\u30b8\u30a7\u30c3\u30c8\u306e\u7269\u7406\u72b6\u614b<br>4.5\u3000\u5b9f\u8df5\u4f8b2\uff1a\u5730\u9707\u6ce2\u5f62\u306e\u518d\u69cb\u6210<br>4.6\u3000MCMC\u304c\u53ce\u675f\u3057\u307e\u305b\u3093\uff01<\/p>\n\n\n\n<p>\u7b2c5\u7ae0\u3000\u6b63\u5247\u5316\u3068\u30b9\u30d1\u30fc\u30b9\u30e2\u30c7\u30ea\u30f3\u30b0  (Regularization and sparse modeling)<br>5.1\u3000\u30d6\u30e9\u30c3\u30af\u30db\u30fc\u30eb\u306e\u591c<br>5.2\u3000\u6700\u5c0f\u4e8c\u4e57\u6cd5\u3068\u6b63\u5247\u5316<br>5.3\u3000\u30b9\u30d1\u30fc\u30b9\u30e2\u30c7\u30ea\u30f3\u30b0<br>5.4\u3000\u5b9f\u8df5\u4f8b1\uff1a\u5909\u5149\u661f\u306e\u5468\u671f\u89e3\u6790<br>5.5\u3000\u5b9f\u8df5\u4f8b2\uff1a\u96fb\u6ce2\u5e72\u6e09\u8a08\u3068MRI\u306e\u753b\u50cf\u518d\u69cb\u6210<br>5.6\u3000\u5b9f\u8df5\u4f8b3\uff1a\u8d85\u65b0\u661f\u306e\u660e\u308b\u3055\u3092\u6c7a\u3081\u308b\u5909\u6570\u306e\u9078\u629e<\/p>\n\n\n\n<p>\u7b2c6\u7ae0\u3000\u5224\u5225\u30e2\u30c7\u30eb  (Discrimination models)<br>6.1\u3000\u624b\u3067\u5883\u754c\u7dda\u3092\u5f15\u3044\u305f\u3089\u3001\u30c0\u30e1\u3067\u3059\u304b\uff1f<br>6.2\u3000\u5224\u5225\u30e2\u30c7\u30eb\u306e\u57fa\u672c\u7684\u306a\u8003\u3048\u65b9<br>6.3\u3000\u30ed\u30b8\u30b9\u30c6\u30a3\u30c3\u30af\u56de\u5e30<br>6.4\u3000\u30b5\u30dd\u30fc\u30c8\u30d9\u30af\u30c8\u30eb\u30de\u30b7\u30f3<br>6.5\u3000\u5b9f\u8df5\u4f8b\uff1a\u6d25\u6ce2\u5806\u7a4d\u7269<\/p>\n\n\n\n<p>\u7b2c7\u7ae0\u3000\u30ac\u30a6\u30b9\u904e\u7a0b  (Gaussian process)<br>7.1\u3000\u982d\u306e\u826f\u3044\u30c7\u30fc\u30bf\u306e\u53d6\u308a\u65b9<br>7.2\u3000\u30ac\u30a6\u30b9\u904e\u7a0b\u306e\u6570\u7406<br>7.3\u3000\u5b9f\u8df5\u4f8b1\uff1a\u5929\u4f53\u306e\u4e0d\u898f\u5247\u306a\u5149\u5ea6\u5909\u5316<br>7.4\u3000\u5b9f\u8df5\u4f8b2\uff1a\u30c0\u30fc\u30af\u30a8\u30df\u30e5\u30ec\u30fc\u30bf<br>7.5\u3000\u5b9f\u8df5\u4f8b3\uff1a\u81ea\u52d5\u8eca\u30a8\u30a2\u30b3\u30f3\u7528\u9001\u98a8\u6a5f\u306e\u8a2d\u8a08<\/p>\n\n\n\n<p>\u7b2c8\u7ae0\u3000\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af  (Neural network)<br>8.1\u3000\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3068\u306f<br>8.2\u3000\u5b9f\u8df5\u4f8b1\uff1a\u98a8\u306b\u717d\u3089\u308c\u308b\u671b\u9060\u93e1<br>8.3\u3000\u5b9f\u8df5\u4f8b2\uff1a\u8d85\u65b0\u661f\u306e\u635c\u7d22<\/p>\n\n\n\n<p>\u4ed8\u9332\u3000Python\u30d7\u30ed\u30b0\u30e9\u30e0<\/p>\n","protected":false},"excerpt":{"rendered":"<p>(This is a textbook written in Japanese.)<br \/>\n\u30c7\u30fc\u30bf\u3092\u89e6\u308a\u59cb\u3081\u305f\uff08\u5e83\u3044\u610f\u5473\u3067\u306e\uff09\u7269\u7406\u7cfb\u306e\u5b66\u751f\u5411\u3051\u306b\u3001\u3068\u308a\u3042\u3048\u305a\u3053\u308c\u4e00\u518a\u3001\u3068\u8a00\u3048\u308b\u672c\u3092\u76ee\u6307\u3057\u307e\u3057\u305f\u3002<\/p>\n","protected":false},"author":2,"featured_media":894,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7,3],"tags":[9],"class_list":["post-889","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-astro-informatics","category-paper","tag-featured"],"_links":{"self":[{"href":"https:\/\/home.hiroshima-u.ac.jp\/uemuram\/wp-json\/wp\/v2\/posts\/889","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/home.hiroshima-u.ac.jp\/uemuram\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/home.hiroshima-u.ac.jp\/uemuram\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/home.hiroshima-u.ac.jp\/uemuram\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/home.hiroshima-u.ac.jp\/uemuram\/wp-json\/wp\/v2\/comments?post=889"}],"version-history":[{"count":3,"href":"https:\/\/home.hiroshima-u.ac.jp\/uemuram\/wp-json\/wp\/v2\/posts\/889\/revisions"}],"predecessor-version":[{"id":909,"href":"https:\/\/home.hiroshima-u.ac.jp\/uemuram\/wp-json\/wp\/v2\/posts\/889\/revisions\/909"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/home.hiroshima-u.ac.jp\/uemuram\/wp-json\/wp\/v2\/media\/894"}],"wp:attachment":[{"href":"https:\/\/home.hiroshima-u.ac.jp\/uemuram\/wp-json\/wp\/v2\/media?parent=889"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/home.hiroshima-u.ac.jp\/uemuram\/wp-json\/wp\/v2\/categories?post=889"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/home.hiroshima-u.ac.jp\/uemuram\/wp-json\/wp\/v2\/tags?post=889"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}