{"id":5117,"date":"2023-04-06T15:31:38","date_gmt":"2023-04-06T20:31:38","guid":{"rendered":"http:\/\/skimai.com\/?p=5117"},"modified":"2024-08-31T16:34:00","modified_gmt":"2024-08-31T21:34:00","slug":"ai-vs-ml","status":"publish","type":"post","link":"https:\/\/skimai.com\/ja\/ai-vs-ml\/","title":{"rendered":"AI\u3068ML\u306e\u9055\u3044\u306f\u4f55\u304b\uff1a2\u3064\u306e\u9769\u547d\u7684\u6982\u5ff5\u306e\u8907\u96d1\u3055\u3092\u89e3\u660e\u3059\u308b"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_82_1 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">\u76ee\u6b21<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"\u30c8\u30b0\u30eb\u76ee\u6b21\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">\u30c8\u30b0\u30eb<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewbox=\"0 0 24 24\" version=\"1.2\" baseprofile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1' ><li class='ez-toc-page-1 ez-toc-heading-level-1'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/skimai.com\/ja\/ai-vs-ml\/#Defining_AI_vs_ML_Unraveling_the_Intricacies_of_Two_Revolutionary_Concepts\" >AI\u3068ML\u306e\u5b9a\u7fa9\uff1a2\u3064\u306e\u9769\u547d\u7684\u6982\u5ff5\u306e\u8907\u96d1\u3055\u3092\u89e3\u660e\u3059\u308b<\/a><ul class='ez-toc-list-level-2' ><li class='ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/skimai.com\/ja\/ai-vs-ml\/#AI_The_Bigger_Picture\" >AI\uff1a\u5168\u4f53\u50cf<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/skimai.com\/ja\/ai-vs-ml\/#Machine_Learning_A_Subset_of_AI\" >\u6a5f\u68b0\u5b66\u7fd2AI\u306e\u30b5\u30d6\u30bb\u30c3\u30c8<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/skimai.com\/ja\/ai-vs-ml\/#A_Quick_History\" >\u7c21\u5358\u306a\u6b74\u53f2<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/skimai.com\/ja\/ai-vs-ml\/#The_Synergy_Between_AI_and_ML\" >AI\u3068ML\u306e\u76f8\u4e57\u52b9\u679c<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/skimai.com\/ja\/ai-vs-ml\/#Misconceptions_and_Clarifications\" >\u8aa4\u89e3\u3068\u89e3\u660e<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/skimai.com\/ja\/ai-vs-ml\/#Understanding_This_Intricate_Relationship\" >\u3053\u306e\u8907\u96d1\u306a\u95a2\u4fc2\u3092\u7406\u89e3\u3059\u308b<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h1><span class=\"ez-toc-section\" id=\"Defining_AI_vs_ML_Unraveling_the_Intricacies_of_Two_Revolutionary_Concepts\"><\/span>AI\u3068ML\u306e\u5b9a\u7fa9\uff1a2\u3064\u306e\u9769\u547d\u7684\u6982\u5ff5\u306e\u8907\u96d1\u3055\u3092\u89e3\u660e\u3059\u308b<span class=\"ez-toc-section-end\"><\/span><\/h1>\n<p>\u4eba\u5de5\u77e5\u80fd\uff08AI\uff09\u3068\u3044\u3046\u8a00\u8449\u306f\u3001\u73fe\u4ee3\u4eba\u306e\u751f\u6d3b\u306b\u307e\u3059\u307e\u3059\u6d78\u900f\u3057\u3066\u3044\u308b\u3002\u8907\u96d1\u306a\u6982\u5ff5\u3067\u3042\u308a\u3001\u89e3\u91c8\u3084\u5b9a\u7fa9\u3082\u591a\u5c90\u306b\u308f\u305f\u308b\u3002\u8fd1\u5e74\u3067\u306f\u3001\u30d3\u30b8\u30cd\u30b9\u3084\u793e\u4f1a\u306e\u307b\u307c\u3042\u3089\u3086\u308b\u5834\u9762\u3067\u6d3b\u7528\u3055\u308c\u308b\u30ad\u30e3\u30c3\u30c1\u30aa\u30fc\u30eb\u7684\u306a\u30de\u30fc\u30b1\u30c6\u30a3\u30f3\u30b0\u7528\u8a9e\u3068\u306a\u3063\u3066\u3044\u308b\u3002 <\/p>\n<p>\u5b9f\u969b\u306b\u306f\u3001AI\u306f\u5e45\u5e83\u3044\u6280\u8853\u3084\u8003\u3048\u65b9\u3092\u5305\u62ec\u3059\u308b\u6982\u5ff5\u3067\u3042\u308a\u3001\u4e00\u8a00\u3067\u5b9a\u7fa9\u3059\u308b\u3053\u3068\u306f\u3067\u304d\u306a\u3044\u3002\u3057\u304b\u3057\u3001\u305d\u306e\u672c\u8cea\u3092\u660e\u3089\u304b\u306b\u3059\u308b\u305f\u3081\u306b\u306f\u3001AI\u3068\u5bc6\u63a5\u306b\u95a2\u9023\u3059\u308b\u5225\u306e\u7528\u8a9e\u3092\u533a\u5225\u3059\u308b\u3053\u3068\u304c\u4e0d\u53ef\u6b20\u3067\u3042\u308b\uff1a\u6a5f\u68b0\u5b66\u7fd2\uff08ML\uff09\u3067\u3042\u308b\u3002<\/p>\n<h2><span class=\"ez-toc-section\" id=\"AI_The_Bigger_Picture\"><\/span>AI\uff1a\u5168\u4f53\u50cf<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>AI\u3068\u306f\u3001\u4e00\u822c\u7684\u306b\u4eba\u9593\u306e\u77e5\u6027\u3092\u5fc5\u8981\u3068\u3059\u308b\u30bf\u30b9\u30af\u3092\u5b9f\u884c\u3067\u304d\u308b\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30fc\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a\u3092\u6307\u3059\u3002\u3053\u306e\u3088\u3046\u306a\u30bf\u30b9\u30af\u306b\u306f\u3001\u554f\u984c\u89e3\u6c7a\u3001\u5b66\u7fd2\u3001\u77e5\u899a\u3001\u8a00\u8a9e\u7406\u89e3\u3001\u610f\u601d\u6c7a\u5b9a\u306a\u3069\u3001\u5e45\u5e83\u3044\u8a8d\u77e5\u80fd\u529b\u304c\u542b\u307e\u308c\u308b\u3002AI\u306e\u7bc4\u56f2\u306e\u5e83\u3055\u3092\u8003\u3048\u308b\u3068\u3001\u305d\u306e\u5b9a\u7fa9\u3092\u4e00\u6587\u306b\u51dd\u7e2e\u3059\u308b\u306e\u306f\u5b9f\u306b\u96e3\u3057\u3044\u3002\u3057\u304b\u3057\u3001AI\u3092\u3088\u308a\u6df1\u304f\u7406\u89e3\u3059\u308b\u305f\u3081\u306b\u306f\u3001\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u3001\u6570\u5b66\u3001\u5fc3\u7406\u5b66\u3001\u8a00\u8a9e\u5b66\u3001\u795e\u7d4c\u79d1\u5b66\u3001\u54f2\u5b66\u306a\u3069\u3001\u3055\u307e\u3056\u307e\u306a\u77e5\u8b58\u5206\u91ce\u304b\u3089\u306a\u308b\u5b66\u969b\u7684\u306a\u5206\u91ce\u3067\u3042\u308b\u3068\u8a8d\u8b58\u3059\u308b\u3053\u3068\u304c\u6975\u3081\u3066\u91cd\u8981\u3067\u3042\u308b\u3002<\/p>\n<p><img decoding=\"async\" src=\"http:\/\/skimai.com\/wp-content\/uploads\/2023\/04\/230330-3-Key-Points-of-AI-vs-ML-02-scaled.jpg\" alt=\"\" width=\"2560\" height=\"1338\"><\/p>\n<p>\u77e5\u7684\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a\u306b\u306f\u3001\u3044\u304f\u3064\u304b\u306e\u30a2\u30d7\u30ed\u30fc\u30c1\u3084\u6280\u8853\u306e\u7d44\u307f\u5408\u308f\u305b\u304c\u5fc5\u8981\u3067\u3042\u308b\u3002\u3053\u308c\u306b\u306f\u3001\u30eb\u30fc\u30eb\u30d9\u30fc\u30b9\u30fb\u30b7\u30b9\u30c6\u30e0\u3001\u77e5\u8b58\u8868\u73fe\u3001\u63a2\u7d22\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3001\u6700\u9069\u5316\u6280\u8853\u3001\u78ba\u7387\u7684\u624b\u6cd5\u306a\u3069\u304c\u542b\u307e\u308c\u308b\u304c\u3001\u3053\u308c\u3089\u306b\u9650\u5b9a\u3055\u308c\u308b\u3082\u306e\u3067\u306f\u306a\u3044\u3002\u3053\u308c\u3089\u306e\u6280\u8853\u306f\u305d\u308c\u305e\u308c\u3001AI\u30b7\u30b9\u30c6\u30e0\u3092\u8a2d\u8a08\u3059\u308b\u4e0a\u3067\u7279\u5b9a\u306e\u76ee\u7684\u3092\u679c\u305f\u3059\u3082\u306e\u3067\u3042\u308a\u3001\u4eba\u9593\u306e\u8a8d\u77e5\u3001\u77e5\u899a\u3001\u610f\u601d\u6c7a\u5b9a\u80fd\u529b\u3092\u6a21\u5023\u3059\u308b\u306e\u306b\u5f79\u7acb\u3064\u3002<\/p>\n<p>\u4f8b\u3048\u3070\u3001\u30eb\u30fc\u30eb\u30d9\u30fc\u30b9\u306e\u30b7\u30b9\u30c6\u30e0\u306f\u3001\u4e8b\u524d\u306b\u5b9a\u7fa9\u3055\u308c\u305f\u30eb\u30fc\u30eb\u306e\u96c6\u5408\u306b\u4f9d\u5b58\u3057\u3066\u610f\u601d\u6c7a\u5b9a\u3092\u884c\u3046\u3002\u4e00\u65b9\u3001\u77e5\u8b58\u8868\u73fe\u306f\u3001AI\u30b7\u30b9\u30c6\u30e0\u304c\u30c7\u30fc\u30bf\u3092\u63a8\u8ad6\u3057\u64cd\u4f5c\u3067\u304d\u308b\u3088\u3046\u306b\u3001\u69cb\u9020\u5316\u3055\u308c\u305f\u65b9\u6cd5\u3067\u60c5\u5831\u3092\u4fdd\u5b58\u3057\u6574\u7406\u3059\u308b\u3053\u3068\u3092\u542b\u3080\u3002\u691c\u7d22\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3068\u6700\u9069\u5316\u6280\u8853\u306f\u3001\u554f\u984c\u306b\u5bfe\u3059\u308b\u53ef\u80fd\u306a\u9650\u308a\u6700\u5584\u306e\u89e3\u6c7a\u7b56\u3092\u898b\u3064\u3051\u308b\u4e0a\u3067\u91cd\u8981\u306a\u5f79\u5272\u3092\u679c\u305f\u3059\u3002\u4e00\u65b9\u3001\u78ba\u7387\u7684\u624b\u6cd5\u306f\u3001AI\u30b7\u30b9\u30c6\u30e0\u304c\u4e0d\u78ba\u5b9f\u6027\u306b\u5bfe\u51e6\u3057\u3001\u5229\u7528\u53ef\u80fd\u306a\u30c7\u30fc\u30bf\u306b\u57fa\u3065\u3044\u3066\u60c5\u5831\u306b\u57fa\u3065\u3044\u305f\u610f\u601d\u6c7a\u5b9a\u3092\u884c\u3046\u3053\u3068\u3092\u53ef\u80fd\u306b\u3059\u308b\u3002<\/p>\n<p>AI\u306e\u3088\u308a\u6b63\u5f0f\u306a\u5b9a\u7fa9\u306b\u3064\u3044\u3066\u306f\u3001\u6b21\u306e\u3088\u3046\u306a\u3082\u306e\u304c\u3042\u308b\u3002 <a href=\"https:\/\/www.mckinsey.com\/~\/media\/McKinsey\/Business%20Functions\/McKinsey%20Analytics\/Our%20Insights\/An%20executives%20guide%20to%20AI\/An-executives-guide-to-AI.ashx\">\u30de\u30c3\u30ad\u30f3\u30bc\u30fc<\/a>\u3068\u5b9a\u7fa9\u3057\u3066\u3044\u308b\uff1a<\/p>\n<ul>\n<li><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><em>\u4eba\u5de5\u77e5\u80fd\uff1a<\/em><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong> AI\u306f\u901a\u5e38\u3001\u77e5\u899a\u3001\u63a8\u8ad6\u3001\u5b66\u7fd2\u3001\u554f\u984c\u89e3\u6c7a\u306a\u3069\u3001\u6211\u3005\u304c\u4eba\u9593\u306e\u982d\u8133\u304b\u3089\u9023\u60f3\u3059\u308b\u8a8d\u77e5\u6a5f\u80fd\u3092\u6a5f\u68b0\u304c\u5b9f\u884c\u3059\u308b\u80fd\u529b\u3068\u5b9a\u7fa9\u3055\u308c\u308b\u3002AI\u304c\u30d3\u30b8\u30cd\u30b9\u4e0a\u306e\u554f\u984c\u3092\u89e3\u6c7a\u3059\u308b\u3053\u3068\u3092\u53ef\u80fd\u306b\u3059\u308b\u6280\u8853\u306e\u4f8b\u3068\u3057\u3066\u306f\u3001\u30ed\u30dc\u30c3\u30c8\u5de5\u5b66\u3084\u81ea\u5f8b\u8d70\u884c\u8eca\u3001\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30fc\u30fb\u30d3\u30b8\u30e7\u30f3\u3001\u8a00\u8a9e\u3001\u30d0\u30fc\u30c1\u30e3\u30eb\u30fb\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u3001\u6a5f\u68b0\u5b66\u7fd2\u306a\u3069\u304c\u3042\u308b\u3002<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"Machine_Learning_A_Subset_of_AI\"><\/span>\u6a5f\u68b0\u5b66\u7fd2AI\u306e\u30b5\u30d6\u30bb\u30c3\u30c8<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u6a5f\u68b0\u5b66\u7fd2\u306f\u3001AI\u306e\u660e\u78ba\u306a\u30b5\u30d6\u30bb\u30c3\u30c8\u3067\u3042\u308a\u3001\u30c7\u30fc\u30bf\u5165\u529b\u306b\u57fa\u3065\u3044\u3066\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u304c\u5b66\u7fd2\u3057\u3001\u305d\u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u5411\u4e0a\u3055\u305b\u308b\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u958b\u767a\u306b\u4e3b\u773c\u3092\u7f6e\u3044\u3066\u3044\u308b\u3002\u7279\u5b9a\u306e\u30bf\u30b9\u30af\u3092\u5b9f\u884c\u3059\u308b\u305f\u3081\u306b\u660e\u793a\u7684\u306a\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u3092\u5fc5\u8981\u3068\u3059\u308b\u5f93\u6765\u306e\u30eb\u30fc\u30eb\u30d9\u30fc\u30b9\u306e\u30b7\u30b9\u30c6\u30e0\u3068\u306f\u5bfe\u7167\u7684\u306b\u3001ML\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u3001\u81ea\u52d5\u7684\u306b\u5e83\u7bc4\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u5206\u6790\u3057\u3001\u30d1\u30bf\u30fc\u30f3\u3092\u7279\u5b9a\u3057\u3001\u4e88\u6e2c\u3084\u610f\u601d\u6c7a\u5b9a\u3092\u884c\u3046\u3088\u3046\u306b\u8a2d\u8a08\u3055\u308c\u3066\u3044\u308b\u3002\u305d\u306e\u7d50\u679c\u3001ML\u99c6\u52d5\u578b\u30b7\u30b9\u30c6\u30e0\u306f\u3001\u3088\u308a\u591a\u304f\u306e\u30c7\u30fc\u30bf\u3092\u51e6\u7406\u3059\u308b\u306b\u3064\u308c\u3066\u3001\u305d\u306e\u7d4c\u9a13\u304b\u3089\u52b9\u679c\u7684\u306b \"\u5b66\u7fd2 \"\u3057\u3001\u7cbe\u5ea6\u3068\u52b9\u7387\u6027\u306e\u70b9\u3067\u7d99\u7d9a\u7684\u306b\u5411\u4e0a\u3059\u308b\u3002<\/p>\n<p><img decoding=\"async\" src=\"http:\/\/skimai.com\/wp-content\/uploads\/2023\/04\/230330-3-Key-Points-of-AI-vs-ML-03-scaled.jpg\" alt=\"\" width=\"2560\" height=\"1338\"><\/p>\n<p>ML\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306b\u306f\u3044\u304f\u3064\u304b\u306e\u7a2e\u985e\u304c\u3042\u308a\u3001\u305d\u308c\u305e\u308c\u304c\u7570\u306a\u308b\u8981\u4ef6\u3084\u72b6\u6cc1\u306b\u5bfe\u5fdc\u3057\u3066\u3044\u308b\u3002\u4e3b\u306a\u30ab\u30c6\u30b4\u30ea\u30fc\u306b\u306f\u3001\u6559\u5e2b\u3042\u308a\u5b66\u7fd2\u3001\u6559\u5e2b\u306a\u3057\u5b66\u7fd2\u3001\u5f37\u5316\u5b66\u7fd2\u3001\u6df1\u5c64\u5b66\u7fd2\u306a\u3069\u304c\u3042\u308b\u3002 <\/p>\n<p>ML\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u6c4e\u7528\u6027\u3068\u9069\u5fdc\u6027\u306b\u3088\u308a\u3001ML\u306fAI\u30c4\u30fc\u30eb\u30ad\u30c3\u30c8\u306e\u5f37\u529b\u306a\u30c4\u30fc\u30eb\u3068\u306a\u308a\u3001AI\u80fd\u529b\u306e\u5411\u4e0a\u306b\u5927\u304d\u304f\u8ca2\u732e\u3057\u3066\u3044\u308b\u3002\u4f8b\u3048\u3070\u3001ML\u306f\u3001\u3088\u308a\u6b63\u78ba\u3067\u52b9\u7387\u7684\u306a\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u3001\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30d3\u30b8\u30e7\u30f3\u3001\u97f3\u58f0\u8a8d\u8b58\u30b7\u30b9\u30c6\u30e0\u306a\u3069\u306e\u958b\u767a\u306b\u5f79\u7acb\u3063\u3066\u304d\u305f\u3002\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u304c\u30c7\u30fc\u30bf\u304b\u3089\u5b66\u7fd2\u3059\u308b\u3053\u3068\u3092\u53ef\u80fd\u306b\u3059\u308b\u3053\u3068\u3067\u3001ML\u306f\u3001\u901a\u5e38\u4eba\u9593\u306e\u77e5\u6027\u3092\u5fc5\u8981\u3068\u3059\u308b\u30bf\u30b9\u30af\u3092\u5b9f\u884c\u3067\u304d\u308b\u3060\u3051\u3067\u306a\u304f\u3001\u6642\u9593\u306e\u7d4c\u904e\u3068\u3068\u3082\u306b\u7d99\u7d9a\u7684\u306b\u6d17\u7df4\u3055\u308c\u3001\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u5411\u4e0a\u3055\u305b\u308b\u3053\u3068\u304c\u3067\u304d\u308bAI\u30b7\u30b9\u30c6\u30e0\u3078\u306e\u9053\u3092\u958b\u3044\u305f\u3002<\/p>\n<p><a href=\"https:\/\/www.mckinsey.com\/~\/media\/McKinsey\/Business%20Functions\/McKinsey%20Analytics\/Our%20Insights\/An%20executives%20guide%20to%20AI\/An-executives-guide-to-AI.ashx\">\u30de\u30c3\u30ad\u30f3\u30bc\u30fc<\/a> \u307e\u305f\u3001\u6a5f\u68b0\u5b66\u7fd2\u306e\u5305\u62ec\u7684\u306a\u5b9a\u7fa9\u3082\u63d0\u4f9b\u3057\u3066\u3044\u308b\uff1a <\/p>\n<ul>\n<li>\u6a5f\u68b0\u5b66\u7fd2\uff1aAI\u306b\u304a\u3051\u308b\u6700\u8fd1\u306e\u9032\u6b69\u306e\u307b\u3068\u3093\u3069\u306f\u3001\u975e\u5e38\u306b\u5927\u898f\u6a21\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u6a5f\u68b0\u5b66\u7fd2\u3092\u9069\u7528\u3059\u308b\u3053\u3068\u3067\u9054\u6210\u3055\u308c\u3066\u3044\u308b\u3002\u6a5f\u68b0\u5b66\u7fd2\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u30d1\u30bf\u30fc\u30f3\u3092\u691c\u51fa\u3057\u3001\u660e\u793a\u7684\u306a\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u547d\u4ee4\u3092\u53d7\u3051\u308b\u306e\u3067\u306f\u306a\u304f\u3001\u30c7\u30fc\u30bf\u3084\u7d4c\u9a13\u3092\u51e6\u7406\u3059\u308b\u3053\u3068\u3067\u4e88\u6e2c\u3084\u63a8\u5968\u306e\u65b9\u6cd5\u3092\u5b66\u7fd2\u3059\u308b\u3002\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u307e\u305f\u3001\u65b0\u3057\u3044\u30c7\u30fc\u30bf\u3084\u7d4c\u9a13\u306b\u5fdc\u3058\u3066\u9069\u5fdc\u3057\u3001\u6642\u9593\u306e\u7d4c\u904e\u3068\u3068\u3082\u306b\u6709\u52b9\u6027\u3092\u5411\u4e0a\u3055\u305b\u308b\u3002<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"A_Quick_History\"><\/span>\u7c21\u5358\u306a\u6b74\u53f2<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>AI\u306e\u30eb\u30fc\u30c4\u306f\u3001\u4eba\u9593\u306e\u77e5\u80fd\u3092\u30b7\u30df\u30e5\u30ec\u30fc\u30c8\u3067\u304d\u308b\u30de\u30b7\u30f3\u3092\u4f5c\u308b\u3068\u3044\u3046\u30a2\u30a4\u30c7\u30a2\u3092\u7814\u7a76\u8005\u304c\u6a21\u7d22\u3057\u59cb\u3081\u305f1950\u5e74\u4ee3\u306b\u307e\u3067\u9061\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3002\u521d\u671f\u306eAI\u7814\u7a76\u306f\u3001\u30d7\u30ed\u30b0\u30e9\u30de\u30fc\u304c\u6a5f\u68b0\u306e\u884c\u52d5\u3092\u652f\u914d\u3059\u308b\u30eb\u30fc\u30eb\u3092\u660e\u78ba\u306b\u5b9a\u7fa9\u3059\u308b\u3001\u30eb\u30fc\u30eb\u30d9\u30fc\u30b9\u306e\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a\u306b\u91cd\u70b9\u3092\u7f6e\u3044\u3066\u3044\u305f\u3002\u3053\u306e\u3088\u3046\u306a\u30b7\u30b9\u30c6\u30e0\u306f\u4e00\u5b9a\u306e\u6210\u529f\u3092\u53ce\u3081\u305f\u304c\u3001\u4eba\u9593\u304c\u5b9a\u7fa9\u3057\u305f\u30eb\u30fc\u30eb\u306b\u4f9d\u5b58\u3057\u3066\u3044\u305f\u3053\u3068\u3068\u3001\u65b0\u3057\u3044\u72b6\u6cc1\u306b\u9069\u5fdc\u3067\u304d\u306a\u3044\u3053\u3068\u304b\u3089\u3001\u9650\u754c\u304c\u3042\u3063\u305f\u3002<\/p>\n<p>\u4e00\u65b9\u3001ML\u306e\u6982\u5ff5\u306f\u3001\u30eb\u30fc\u30eb\u30d9\u30fc\u30b9\u306eAI\u30b7\u30b9\u30c6\u30e0\u306e\u9650\u754c\u3078\u306e\u5bfe\u5fdc\u3068\u3057\u3066\u751f\u307e\u308c\u305f\u3002\u30a2\u30fc\u30b5\u30fc\u30fb\u30b5\u30df\u30e5\u30a8\u30eb\u3084\u30d5\u30e9\u30f3\u30af\u30fb\u30ed\u30fc\u30bc\u30f3\u30d6\u30e9\u30c3\u30c8\u306e\u3088\u3046\u306a\u7814\u7a76\u8005\u305f\u3061\u306f\u3001\u30c7\u30fc\u30bf\u304b\u3089\u5b66\u7fd2\u3059\u308b\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u7814\u7a76\u3092\u59cb\u3081\u3001\u73fe\u4ee3\u306eML\u6280\u8853\u306e\u57fa\u790e\u3092\u7bc9\u3044\u305f\u3002\u4eba\u9593\u306e\u8133\u306e\u69cb\u9020\u306b\u30d2\u30f3\u30c8\u3092\u5f97\u305fML\u6280\u8853\u3067\u3042\u308b\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u5c0e\u5165\u306f\u3001\u3053\u306e\u5206\u91ce\u306b\u3055\u3089\u306a\u308b\u9769\u547d\u3092\u3082\u305f\u3089\u3057\u305f\u3002<\/p>\n<p>\u6642\u304c\u7d4c\u3064\u306b\u3064\u308c\u3001ML\u306fAI\u306e\u6025\u901f\u306a\u9032\u6b69\u3092\u652f\u3048\u308b\u91cd\u8981\u306a\u539f\u52d5\u529b\u3068\u306a\u308a\u3001\u5f93\u6765\u306e\u30eb\u30fc\u30eb\u30d9\u30fc\u30b9\u306e\u30a2\u30d7\u30ed\u30fc\u30c1\u3092\u51cc\u99d5\u3059\u308b\u30a4\u30f3\u30c6\u30ea\u30b8\u30a7\u30f3\u30c8\u30fb\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a\u3092\u53ef\u80fd\u306b\u3057\u3066\u3044\u308b\u3002<\/p>\n<p>\u3053\u306e\u6a5f\u4f1a\u306b\u305c\u3072\u3054\u89a7\u304f\u3060\u3055\u3044\u3002 <a href=\"https:\/\/www.algotive.ai\/blog\/the-history-of-artificial-intelligence-machine-learning-and-deep-learning\">\u30bf\u30a4\u30e0\u30e9\u30a4\u30f3<\/a> AI\u3001ML\u3001DL\u306e\u6b74\u53f2\u306b\u3064\u3044\u3066\u3082\u3063\u3068\u77e5\u308a\u305f\u3044\u65b9\u306f\u3001\u3053\u3061\u3089\u3092\u3054\u89a7\u304f\u3060\u3055\u3044\u3002 <\/p>\n<h2><span class=\"ez-toc-section\" id=\"The_Synergy_Between_AI_and_ML\"><\/span>AI\u3068ML\u306e\u76f8\u4e57\u52b9\u679c<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>AI\u3068ML\u306b\u306f\u9055\u3044\u304c\u3042\u308b\u304c\u3001\u76f8\u4e92\u306b\u6392\u4ed6\u7684\u306a\u3082\u306e\u3067\u306f\u306a\u3044\u3053\u3068\u3092\u7406\u89e3\u3059\u308b\u3053\u3068\u304c\u91cd\u8981\u3067\u3042\u308b\u3002\u5b9f\u969b\u3001\u5f37\u529b\u3067\u30a4\u30f3\u30c6\u30ea\u30b8\u30a7\u30f3\u30c8\u306a\u30b7\u30b9\u30c6\u30e0\u3092\u4f5c\u308b\u305f\u3081\u306b\u3001\u4e21\u8005\u306f\u3057\u3070\u3057\u3070\u9023\u52d5\u3059\u308b\u3002ML\u306fAI\u306e\u5098\u4e0b\u306b\u3042\u308b\u6570\u591a\u304f\u306e\u6280\u8853\u306e\u3072\u3068\u3064\u306b\u904e\u304e\u305a\u3001AI\u306e\u80fd\u529b\u3092\u5411\u4e0a\u3055\u305b\u308b\u306e\u306b\u7279\u306b\u52b9\u679c\u7684\u3067\u3042\u308b\u3053\u3068\u304c\u8a3c\u660e\u3055\u308c\u3066\u3044\u308b\u3002<\/p>\n<p><img decoding=\"async\" src=\"http:\/\/skimai.com\/wp-content\/uploads\/2023\/04\/230330-3-Key-Points-of-AI-vs-ML-01-scaled.jpg\" alt=\"\" width=\"2560\" height=\"1338\"><\/p>\n<p>\u4f8b\u3048\u3070\u3001\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\uff08NLP\uff09\u306f\u3001\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u304c\u4eba\u9593\u306e\u8a00\u8a9e\u3092\u7406\u89e3\u3057\u89e3\u91c8\u3067\u304d\u308b\u3088\u3046\u306b\u3059\u308b\u3053\u3068\u306b\u7126\u70b9\u3092\u5f53\u3066\u305fAI\u306e\u5206\u91ce\u3067\u3042\u308b\u3002ML\u6280\u8853\u3092\u53d6\u308a\u5165\u308c\u308b\u3053\u3068\u3067\u3001NLP\u30b7\u30b9\u30c6\u30e0\u306f\u8a00\u8a9e\u30d1\u30bf\u30fc\u30f3\u3084\u30cb\u30e5\u30a2\u30f3\u30b9\u3092\u8a8d\u8b58\u3059\u308b\u3053\u3068\u3092\u5b66\u7fd2\u3057\u3001\u4eba\u9593\u306e\u3088\u3046\u306a\u53cd\u5fdc\u3092\u3088\u308a\u3088\u304f\u7406\u89e3\u3057\u3001\u751f\u6210\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308b\u3002<\/p>\n<p>\u540c\u69d8\u306b\u3001AI\u306e\u3082\u3046\u4e00\u3064\u306e\u30b5\u30d6\u30d5\u30a3\u30fc\u30eb\u30c9\u3067\u3042\u308b\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30fb\u30d3\u30b8\u30e7\u30f3\u3067\u306f\u3001\u753b\u50cf\u3084\u30d3\u30c7\u30aa\u306a\u3069\u3001\u4e16\u754c\u304b\u3089\u306e\u8996\u899a\u60c5\u5831\u3092\u89e3\u91c8\u30fb\u5206\u6790\u3059\u308b\u3088\u3046\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u306b\u6559\u3048\u308b\u3053\u3068\u304c\u542b\u307e\u308c\u308b\u3002ML\u3092\u6d3b\u7528\u3059\u308b\u3053\u3068\u3067\u3001\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30fb\u30d3\u30b8\u30e7\u30f3\u30fb\u30b7\u30b9\u30c6\u30e0\u306f\u3001\u7269\u4f53\u3092\u8b58\u5225\u3057\u3001\u52d5\u304d\u3092\u8ffd\u8de1\u3057\u3001\u8996\u899a\u30c7\u30fc\u30bf\u306e\u30d1\u30bf\u30fc\u30f3\u3092\u9a5a\u304f\u3079\u304d\u7cbe\u5ea6\u3067\u8a8d\u8b58\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3002<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Misconceptions_and_Clarifications\"><\/span>\u8aa4\u89e3\u3068\u89e3\u660e<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>AI\u3068ML\u3068\u3044\u3046\u8a00\u8449\u306f\u3057\u3070\u3057\u3070\u540c\u3058\u610f\u5473\u3067\u4f7f\u308f\u308c\u3001\u6df7\u4e71\u3084\u8aa4\u89e3\u3092\u62db\u3044\u3066\u3044\u308b\u3002 <\/p>\n<p>\u899a\u3048\u3066\u304a\u304f\u3079\u304d\u30dd\u30a4\u30f3\u30c8\u306f\u3044\u304f\u3064\u304b\u3042\u308b\uff1a<\/p>\n<ul>\n<li>AI\u306f\u5305\u62ec\u7684\u306a\u6982\u5ff5\u3067\u3042\u308a\u3001ML\u306fAI\u306e\u30b5\u30d6\u30bb\u30c3\u30c8\u3067\u3042\u308b\u3002<\/li>\n<li>AI\u306b\u306f\u3001\u77e5\u7684\u30b7\u30b9\u30c6\u30e0\u3092\u69cb\u7bc9\u3059\u308b\u305f\u3081\u306eML\u3092\u542b\u3080\u69d8\u3005\u306a\u6280\u8853\u3084\u30a2\u30d7\u30ed\u30fc\u30c1\u304c\u542b\u307e\u308c\u308b\u3002<\/li>\n<li>\u5f93\u6765\u306e\u30eb\u30fc\u30eb\u30d9\u30fc\u30b9\u306eAI\u30b7\u30b9\u30c6\u30e0\u304c\u660e\u793a\u7684\u306a\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u306b\u4f9d\u5b58\u3057\u3066\u3044\u308b\u306e\u306b\u5bfe\u3057\u3001ML\u3092\u5229\u7528\u3057\u305f\u30b7\u30b9\u30c6\u30e0\u306f\u30c7\u30fc\u30bf\u304b\u3089\u5b66\u7fd2\u3059\u308b\u3002<\/li>\n<\/ul>\n<p>AI\u304c\u7523\u696d\u3084\u793e\u4f1a\u3092\u5909\u9769\u3057\u7d9a\u3051\u308b\u4e2d\u3001AI\u3068ML\u306e\u9055\u3044\u3092\u7406\u89e3\u3059\u308b\u3053\u3068\u306f\u4e0d\u53ef\u6b20\u3067\u3042\u308b\u3002\u3053\u308c\u3089\u306e\u9055\u3044\u3092\u7406\u89e3\u3059\u308b\u3053\u3068\u306f\u3001\u3053\u308c\u3089\u306e\u6280\u8853\u306e\u771f\u306e\u53ef\u80fd\u6027\u3092\u7406\u89e3\u3059\u308b\u306e\u306b\u5f79\u7acb\u3064\u3060\u3051\u3067\u306a\u304f\u3001\u502b\u7406\u7684\u610f\u5473\u5408\u3044\u3001\u9650\u754c\u3001\u5c06\u6765\u306e\u767a\u5c55\u306b\u3064\u3044\u3066\u5341\u5206\u306a\u60c5\u5831\u306b\u57fa\u3065\u3044\u305f\u8b70\u8ad6\u3092\u4fc3\u9032\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3002<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Understanding_This_Intricate_Relationship\"><\/span>\u3053\u306e\u8907\u96d1\u306a\u95a2\u4fc2\u3092\u7406\u89e3\u3059\u308b<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u4eba\u5de5\u77e5\u80fd\u3068\u6a5f\u68b0\u5b66\u7fd2\u306e\u8907\u96d1\u306a\u95a2\u4fc2\u3092\u7406\u89e3\u3059\u308b\u3053\u3068\u306f\u3001\u3053\u308c\u3089\u306e\u6280\u8853\u304c\u73fe\u4ee3\u4e16\u754c\u3092\u5f62\u6210\u3057\u7d9a\u3051\u308b\u4e0a\u3067\u6975\u3081\u3066\u91cd\u8981\u3067\u3042\u308b\u3002AI\u306f\u3001\u30a4\u30f3\u30c6\u30ea\u30b8\u30a7\u30f3\u30c8\u306a\u30b7\u30b9\u30c6\u30e0\u3092\u4f5c\u308b\u3053\u3068\u3092\u76ee\u7684\u3068\u3057\u305f\u69d8\u3005\u306a\u30a2\u30d7\u30ed\u30fc\u30c1\u3084\u6280\u8853\u3092\u5305\u62ec\u3059\u308b\u6982\u5ff5\u3067\u3042\u308b\u4e00\u65b9\u3001ML\u306f\u3001\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u304c\u30c7\u30fc\u30bf\u304b\u3089\u5b66\u7fd2\u3057\u3001\u305d\u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u5411\u4e0a\u3055\u305b\u308b\u3053\u3068\u3092\u53ef\u80fd\u306b\u3059\u308b\u5f37\u529b\u306a\u30b5\u30d6\u30bb\u30c3\u30c8\u3067\u3042\u308b\u3002 <\/p>\n<p>AI\u3068ML\u306e\u30e6\u30cb\u30fc\u30af\u306a\u7279\u6027\u3068\u8ca2\u732e\u3092\u8a8d\u8b58\u3059\u308b\u3053\u3068\u3067\u3001\u79c1\u305f\u3061\u306f\u305d\u306e\u771f\u306e\u53ef\u80fd\u6027\u3092\u3088\u308a\u3088\u304f\u7406\u89e3\u3057\u3001\u305d\u306e\u502b\u7406\u7684\u610f\u5473\u5408\u3044\u3001\u9650\u754c\u3001\u5c06\u6765\u306e\u767a\u5c55\u306b\u3064\u3044\u3066\u5341\u5206\u306a\u60c5\u5831\u306b\u57fa\u3065\u3044\u305f\u8b70\u8ad6\u3092\u884c\u3046\u3053\u3068\u304c\u3067\u304d\u308b\u3002\u79c1\u305f\u3061\u304c\u524d\u9032\u3059\u308b\u306b\u3064\u308c\u3001AI\u3068ML\u306f\u9032\u5316\u3092\u7d9a\u3051\u3001\u79c1\u305f\u3061\u304c\u307e\u3060\u5341\u5206\u306b\u628a\u63e1\u3057\u3066\u3044\u306a\u3044\u65b9\u6cd5\u3067\u7523\u696d\u3068\u793e\u4f1a\u3092\u5909\u9769\u3057\u3066\u3044\u304f\u3060\u308d\u3046\u3002<\/p>","protected":false},"excerpt":{"rendered":"<p>Defining AI vs ML: Unraveling the Intricacies of Two Revolutionary Concepts Artificial Intelligence (AI) is a term that has been increasingly woven into the fabric of modern life. It is a complicated concept, with a vast array of interpretations and definitions. In recent years, it has become a catch-all, marketing term utilized by almost every aspect of business and society. In reality, AI is more of an umbrella concept that encompasses a broad range of technologies and ideas, and it can&#8217;t be defined in one sentence. However, to shed light on its true nature, it is essential to draw distinctions between AI and another closely related term: Machine Learning (ML). [&hellip;]<\/p>\n","protected":false},"author":1003,"featured_media":8463,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"single-custom-post-template.php","format":"standard","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[125,67],"tags":[105],"class_list":["post-5117","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-enterprise-ai-blog","category-ml-nlp","tag-ai-vs-ml"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>What&#039;s the difference between AI vs. ML: Unraveling the Intricacies of Two Revolutionary Concepts - Skim AI<\/title>\n<meta name=\"description\" content=\"Explore the intricacies of two groundbreaking concepts, AI and ML. 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