{"id":479453,"date":"2023-08-09T10:40:25","date_gmt":"2023-08-09T10:40:25","guid":{"rendered":""},"modified":"2023-09-05T11:18:50","modified_gmt":"2023-09-05T11:18:50","slug":"unsupervised-learning","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/ar\/wiki\/unsupervised-learning\/","title":{"rendered":"\u062a\u0639\u0644\u064a\u0645 \u063a\u064a\u0631 \u0645\u0634\u0631\u0641 \u0639\u0644\u064a\u0647"},"content":{"rendered":"<p>\u064a\u0639\u062f \u0627\u0644\u062a\u0639\u0644\u0645 \u063a\u064a\u0631 \u0627\u0644\u062e\u0627\u0636\u0639 \u0644\u0644\u0631\u0642\u0627\u0628\u0629 \u0641\u0631\u0639\u064b\u0627 \u0628\u0627\u0631\u0632\u064b\u0627 \u0645\u0646 \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u064a \u0627\u0644\u0630\u064a \u064a\u0631\u0643\u0632 \u0639\u0644\u0649 \u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0627\u062a \u0627\u0644\u062a\u062f\u0631\u064a\u0628 \u0644\u0644\u0643\u0634\u0641 \u0639\u0646 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\u0627\u0644\u0631\u0626\u064a\u0633\u064a\u0629 \u0627\u0644\u062a\u064a \u062a\u0645\u064a\u0632\u0647 \u0639\u0646 \u0646\u0645\u0627\u0630\u062c \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u064a \u0627\u0644\u0623\u062e\u0631\u0649:<\/p>\n<ol>\n<li>\n<p><strong>\u0644\u0627 \u062a\u0648\u062c\u062f \u062a\u0633\u0645\u064a\u0627\u062a \u0645\u0637\u0644\u0648\u0628\u0629:<\/strong> \u0644\u0627 \u064a\u0639\u062a\u0645\u062f \u0627\u0644\u062a\u0639\u0644\u0645 \u063a\u064a\u0631 \u0627\u0644\u062e\u0627\u0636\u0639 \u0644\u0644\u0631\u0642\u0627\u0628\u0629 \u0639\u0644\u0649 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0645\u0635\u0646\u0641\u0629\u060c \u0645\u0645\u0627 \u064a\u062c\u0639\u0644\u0647 \u0645\u0646\u0627\u0633\u0628\u064b\u0627 \u0644\u0644\u0633\u064a\u0646\u0627\u0631\u064a\u0648\u0647\u0627\u062a \u0627\u0644\u062a\u064a \u064a\u0643\u0648\u0646 \u0641\u064a\u0647\u0627 \u0627\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0645\u0635\u0646\u0641\u0629 \u0646\u0627\u062f\u0631\u064b\u0627 \u0623\u0648 \u0645\u0643\u0644\u0641\u064b\u0627.<\/p>\n<\/li>\n<li>\n<p><strong>\u0627\u0633\u062a\u0643\u0634\u0627\u0641\u064a\u0629 \u0641\u064a \u0627\u0644\u0637\u0628\u064a\u0639\u0629:<\/strong> \u062a\u062a\u064a\u062d \u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0627\u062a \u0627\u0644\u062a\u0639\u0644\u0645 \u063a\u064a\u0631 \u0627\u0644\u062e\u0627\u0636\u0639\u0629 \u0644\u0644\u0631\u0642\u0627\u0628\u0629 \u0627\u0633\u062a\u0643\u0634\u0627\u0641 \u0627\u0644\u0628\u0646\u064a\u0629 \u0627\u0644\u0623\u0633\u0627\u0633\u064a\u0629 \u0644\u0644\u0628\u064a\u0627\u0646\u0627\u062a\u060c \u0645\u0645\u0627 \u064a\u0633\u0645\u062d \u0628\u0627\u0643\u062a\u0634\u0627\u0641 \u0627\u0644\u0623\u0646\u0645\u0627\u0637 \u0648\u0627\u0644\u0639\u0644\u0627\u0642\u0627\u062a \u0627\u0644\u0645\u062e\u0641\u064a\u0629.<\/p>\n<\/li>\n<li>\n<p><strong>\u0625\u0643\u062a\u0634\u0627\u0641 \u0639\u064a\u0628 \u062e\u0644\u0642\u064a:<\/strong> \u0645\u0646 \u062e\u0644\u0627\u0644 \u062a\u062d\u0644\u064a\u0644 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u062f\u0648\u0646 \u062a\u0633\u0645\u064a\u0627\u062a \u0645\u062d\u062f\u062f\u0629 \u0645\u0633\u0628\u0642\u064b\u0627\u060c \u064a\u0645\u0643\u0646 \u0644\u0644\u062a\u0639\u0644\u0645 \u063a\u064a\u0631 \u0627\u0644\u062e\u0627\u0636\u0639 \u0644\u0644\u0631\u0642\u0627\u0628\u0629 \u062a\u062d\u062f\u064a\u062f \u0627\u0644\u062d\u0627\u0644\u0627\u062a \u0627\u0644\u0634\u0627\u0630\u0629 \u0623\u0648 \u0627\u0644\u0642\u064a\u0645 \u0627\u0644\u0645\u062a\u0637\u0631\u0641\u0629 \u0627\u0644\u062a\u064a \u0642\u062f \u0644\u0627 \u062a\u062a\u0648\u0627\u0641\u0642 \u0645\u0639 \u0627\u0644\u0623\u0646\u0645\u0627\u0637 \u0627\u0644\u0646\u0645\u0648\u0630\u062c\u064a\u0629.<\/p>\n<\/li>\n<li>\n<p><strong>\u0645\u0633\u0627\u0639\u062f\u0627\u062a \u0627\u0644\u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0645\u0633\u0628\u0642\u0629:<\/strong> \u064a\u0645\u0643\u0646 \u0623\u0646 \u064a\u0643\u0648\u0646 \u0627\u0644\u062a\u0639\u0644\u0645 \u063a\u064a\u0631 \u0627\u0644\u062e\u0627\u0636\u0639 \u0644\u0644\u0631\u0642\u0627\u0628\u0629 \u0628\u0645\u062b\u0627\u0628\u0629 \u062e\u0637\u0648\u0629 \u0645\u0639\u0627\u0644\u062c\u0629 \u0645\u0633\u0628\u0642\u0629\u060c \u0645\u0645\u0627 \u064a\u0648\u0641\u0631 \u0646\u0638\u0631\u0629 \u062b\u0627\u0642\u0628\u0629 \u0644\u062e\u0635\u0627\u0626\u0635 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0642\u0628\u0644 \u062a\u0637\u0628\u064a\u0642 \u0637\u0631\u0642 \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0623\u062e\u0631\u0649.<\/p>\n<\/li>\n<\/ol>\n<h2>\u0623\u0646\u0648\u0627\u0639 \u0627\u0644\u062a\u0639\u0644\u0645 \u063a\u064a\u0631 \u0627\u0644\u062e\u0627\u0636\u0639 \u0644\u0644\u0631\u0642\u0627\u0628\u0629<\/h2>\n<p>\u064a\u0634\u0645\u0644 \u0627\u0644\u062a\u0639\u0644\u0645 \u063a\u064a\u0631 \u0627\u0644\u062e\u0627\u0636\u0639 \u0644\u0644\u0631\u0642\u0627\u0628\u0629 \u062a\u0642\u0646\u064a\u0627\u062a \u0645\u062e\u062a\u0644\u0641\u0629 \u062a\u062e\u062f\u0645 \u0623\u063a\u0631\u0627\u0636\u064b\u0627 \u0645\u062e\u062a\u0644\u0641\u0629. \u0641\u064a\u0645\u0627 \u064a\u0644\u064a \u0628\u0639\u0636 \u0627\u0644\u0623\u0646\u0648\u0627\u0639 \u0627\u0644\u0634\u0627\u0626\u0639\u0629 \u0645\u0646 \u0627\u0644\u062a\u0639\u0644\u0645 \u063a\u064a\u0631 \u0627\u0644\u062e\u0627\u0636\u0639 \u0644\u0644\u0631\u0642\u0627\u0628\u0629:<\/p>\n<table>\n<thead>\n<tr>\n<th>\u064a\u0643\u062a\u0628<\/th>\n<th>\u0648\u0635\u0641<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>\u062a\u062c\u0645\u0639<\/strong><\/td>\n<td>\u062a\u062c\u0645\u064a\u0639 \u0646\u0642\u0627\u0637 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0641\u064a \u0645\u062c\u0645\u0648\u0639\u0627\u062a \u0628\u0646\u0627\u0621\u064b \u0639\u0644\u0649 \u062a\u0634\u0627\u0628\u0647\u0647\u0627.<\/td>\n<\/tr>\n<tr>\n<td><strong>\u062a\u062e\u0641\u064a\u0636 \u0627\u0644\u0623\u0628\u0639\u0627\u062f<\/strong><\/td>\n<td>\u062a\u0642\u0644\u064a\u0644 \u0639\u062f\u062f \u0627\u0644\u0645\u064a\u0632\u0627\u062a \u0645\u0639 \u0627\u0644\u062d\u0641\u0627\u0638 \u0639\u0644\u0649 \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a \u0627\u0644\u0623\u0633\u0627\u0633\u064a\u0629 \u0641\u064a \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a.<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0627\u0644\u0646\u0645\u0627\u0630\u062c \u0627\u0644\u062a\u0648\u0644\u064a\u062f\u064a\u0629<\/strong><\/td>\n<td>\u0646\u0645\u0630\u062c\u0629 \u0627\u0644\u062a\u0648\u0632\u064a\u0639 \u0627\u0644\u0623\u0633\u0627\u0633\u064a \u0644\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0644\u062a\u0648\u0644\u064a\u062f \u0639\u064a\u0646\u0627\u062a \u062c\u062f\u064a\u062f\u0629.<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0627\u0644\u062a\u0639\u062f\u064a\u0646 \u0642\u0627\u0639\u062f\u0629 \u0627\u0644\u0631\u0627\u0628\u0637\u0629<\/strong><\/td>\n<td>\u0627\u0643\u062a\u0634\u0627\u0641 \u0639\u0644\u0627\u0642\u0627\u062a \u0645\u062b\u064a\u0631\u0629 \u0644\u0644\u0627\u0647\u062a\u0645\u0627\u0645 \u0628\u064a\u0646 \u0627\u0644\u0645\u062a\u063a\u064a\u0631\u0627\u062a \u0641\u064a \u0645\u062c\u0645\u0648\u0639\u0627\u062a \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0643\u0628\u064a\u0631\u0629.<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0623\u062c\u0647\u0632\u0629 \u0627\u0644\u062a\u0631\u0645\u064a\u0632 \u0627\u0644\u062a\u0644\u0642\u0627\u0626\u064a<\/strong><\/td>\n<td>\u062a\u0642\u0646\u064a\u0629 \u062a\u0639\u062a\u0645\u062f \u0639\u0644\u0649 \u0627\u0644\u0634\u0628\u0643\u0629 \u0627\u0644\u0639\u0635\u0628\u064a\u0629 \u062a\u0633\u062a\u062e\u062f\u0645 \u0644\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u062a\u0645\u062b\u064a\u0644\u064a \u0648\u0636\u063a\u0637 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u0637\u0631\u0642 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062a\u0639\u0644\u0645 \u063a\u064a\u0631 \u0627\u0644\u062e\u0627\u0636\u0639 \u0644\u0644\u0631\u0642\u0627\u0628\u0629 \u0648\u0645\u0634\u0643\u0644\u0627\u062a\u0647 \u0648\u062d\u0644\u0648\u0644\u0647\u0627 \u0627\u0644\u0645\u062a\u0639\u0644\u0642\u0629 \u0628\u0627\u0644\u0627\u0633\u062a\u062e\u062f\u0627\u0645<\/h2>\n<p>\u064a\u062c\u062f \u0627\u0644\u062a\u0639\u0644\u0645 \u063a\u064a\u0631 \u0627\u0644\u062e\u0627\u0636\u0639 \u0644\u0644\u0631\u0642\u0627\u0628\u0629 \u062a\u0637\u0628\u064a\u0642\u0627\u062a \u0641\u064a \u0645\u062c\u0627\u0644\u0627\u062a \u0645\u062e\u062a\u0644\u0641\u0629 \u0648\u064a\u062d\u0644 \u0627\u0644\u0639\u062f\u064a\u062f \u0645\u0646 \u0627\u0644\u062a\u062d\u062f\u064a\u0627\u062a:<\/p>\n<ol>\n<li>\n<p><strong>\u0641\u0626\u0627\u062a \u0627\u0644\u0632\u0628\u0627\u0626\u0646:<\/strong> \u0641\u064a \u0627\u0644\u062a\u0633\u0648\u064a\u0642 \u0648\u062a\u062d\u0644\u064a\u0644\u0627\u062a \u0627\u0644\u0639\u0645\u0644\u0627\u0621\u060c \u064a\u0645\u0643\u0646 \u0644\u0644\u062a\u0639\u0644\u0645 \u063a\u064a\u0631 \u0627\u0644\u062e\u0627\u0636\u0639 \u0644\u0644\u0631\u0642\u0627\u0628\u0629 \u062a\u062c\u0645\u064a\u0639 \u0627\u0644\u0639\u0645\u0644\u0627\u0621 \u0625\u0644\u0649 \u0634\u0631\u0627\u0626\u062d \u0628\u0646\u0627\u0621\u064b \u0639\u0644\u0649 \u0633\u0644\u0648\u0643\u0647\u0645 \u0623\u0648 \u062a\u0641\u0636\u064a\u0644\u0627\u062a\u0647\u0645 \u0623\u0648 \u0627\u0644\u062a\u0631\u0643\u064a\u0628\u0629 \u0627\u0644\u0633\u0643\u0627\u0646\u064a\u0629\u060c \u0645\u0645\u0627 \u064a\u0645\u0643\u0651\u0646 \u0627\u0644\u0634\u0631\u0643\u0627\u062a \u0645\u0646 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\u062a\u0648\u0641\u0631 \u0627\u0644\u0641\u0648\u0627\u0626\u062f \u0627\u0644\u062a\u0627\u0644\u064a\u0629:<\/p>\n<ol>\n<li>\n<p><strong>\u062c\u0645\u0639 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0648\u0627\u0644\u062e\u0635\u0648\u0635\u064a\u0629:<\/strong> \u064a\u0645\u0643\u0646 \u0644\u0644\u062e\u0648\u0627\u062f\u0645 \u0627\u0644\u0648\u0643\u064a\u0644\u0629 \u0625\u062e\u0641\u0627\u0621 \u0647\u0648\u064a\u0629 \u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0645\u0633\u062a\u062e\u062f\u0645\u060c \u0645\u0645\u0627 \u064a\u0636\u0645\u0646 \u0627\u0644\u062e\u0635\u0648\u0635\u064a\u0629 \u0623\u062b\u0646\u0627\u0621 \u062c\u0645\u0639 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u063a\u064a\u0631 \u0627\u0644\u0645\u0633\u0645\u0627\u0629 \u0644\u0645\u0647\u0627\u0645 \u0627\u0644\u062a\u0639\u0644\u0645 \u063a\u064a\u0631 \u0627\u0644\u062e\u0627\u0636\u0639\u0629 \u0644\u0644\u0625\u0634\u0631\u0627\u0641.<\/p>\n<\/li>\n<li>\n<p><strong>\u062a\u0648\u0632\u064a\u0639 \u0627\u0644\u062d\u0645\u0644:<\/strong> \u062a\u0633\u0627\u0639\u062f \u0627\u0644\u062e\u0648\u0627\u062f\u0645 \u0627\u0644\u0648\u0643\u064a\u0644\u0629 \u0639\u0644\u0649 \u062a\u0648\u0632\u064a\u0639 \u0639\u0628\u0621 \u0627\u0644\u0639\u0645\u0644 \u0627\u0644\u062d\u0633\u0627\u0628\u064a \u0641\u064a \u062a\u0637\u0628\u064a\u0642\u0627\u062a \u0627\u0644\u062a\u0639\u0644\u0645 \u0648\u0627\u0633\u0639\u0629 \u0627\u0644\u0646\u0637\u0627\u0642 \u063a\u064a\u0631 \u0627\u0644\u062e\u0627\u0636\u0639\u0629 \u0644\u0644\u0631\u0642\u0627\u0628\u0629\u060c \u0645\u0645\u0627 \u064a\u0639\u0632\u0632 \u0627\u0644\u0643\u0641\u0627\u0621\u0629.<\/p>\n<\/li>\n<li>\n<p><strong>\u062a\u0635\u0641\u064a\u0629 \u0627\u0644\u0645\u062d\u062a\u0648\u0649:<\/strong> \u064a\u0645\u0643\u0646 \u0644\u0644\u062e\u0648\u0627\u062f\u0645 \u0627\u0644\u0648\u0643\u064a\u0644\u0629 \u062a\u0635\u0641\u064a\u0629 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0648\u0645\u0639\u0627\u0644\u062c\u062a\u0647\u0627 \u0645\u0633\u0628\u0642\u064b\u0627 \u0642\u0628\u0644 \u0623\u0646 \u062a\u0635\u0644 \u0625\u0644\u0649 \u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0627\u062a \u0627\u0644\u062a\u0639\u0644\u0645 \u063a\u064a\u0631 \u0627\u0644\u062e\u0627\u0636\u0639\u0629 \u0644\u0644\u0631\u0642\u0627\u0628\u0629\u060c \u0645\u0645\u0627 \u064a\u0624\u062f\u064a \u0625\u0644\u0649 \u062a\u062d\u0633\u064a\u0646 \u062c\u0648\u062f\u0629 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a.<\/p>\n<\/li>\n<\/ol>\n<h2>\u0631\u0648\u0627\u0628\u0637 \u0630\u0627\u062a \u0639\u0644\u0627\u0642\u0629<\/h2>\n<p>\u0644\u0645\u0632\u064a\u062f \u0645\u0646 \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a \u062d\u0648\u0644 \u0627\u0644\u062a\u0639\u0644\u0645 \u063a\u064a\u0631 \u0627\u0644\u062e\u0627\u0636\u0639 \u0644\u0644\u0625\u0634\u0631\u0627\u0641\u060c \u064a\u0645\u0643\u0646\u0643 \u0627\u0644\u0631\u062c\u0648\u0639 \u0625\u0644\u0649 \u0627\u0644\u0645\u0648\u0627\u0631\u062f \u0627\u0644\u062a\u0627\u0644\u064a\u0629:<\/p>\n<ol>\n<li><a href=\"https:\/\/towardsdatascience.com\/understanding-unsupervised-learning-8254c4ab9593\" target=\"_new\" rel=\"noopener nofollow\">\u0641\u0647\u0645 \u0627\u0644\u062a\u0639\u0644\u0645 \u063a\u064a\u0631 \u0627\u0644\u062e\u0627\u0636\u0639 \u0644\u0644\u0631\u0642\u0627\u0628\u0629 \u2013 \u0646\u062d\u0648 \u0639\u0644\u0645 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a<\/a><\/li>\n<li><a href=\"https:\/\/en.wikipedia.org\/wiki\/Unsupervised_learning\" target=\"_new\" rel=\"noopener nofollow\">\u0627\u0644\u062a\u0639\u0644\u0645 \u063a\u064a\u0631 \u0627\u0644\u062e\u0627\u0636\u0639 \u0644\u0644\u0631\u0642\u0627\u0628\u0629 \u2013 \u0648\u064a\u0643\u064a\u0628\u064a\u062f\u064a\u0627<\/a><\/li>\n<li><a href=\"https:\/\/medium.com\/analytics-vidhya\/a-brief-introduction-to-clustering-algorithms-in-machine-learning-9730988a6d25\" target=\"_new\" rel=\"noopener nofollow\">\u0645\u0642\u062f\u0645\u0629 \u0625\u0644\u0649 \u0627\u0644\u062a\u062c\u0645\u064a\u0639 \u0648\u0637\u0631\u0642 \u0627\u0644\u062a\u062c\u0645\u064a\u0639 \u0627\u0644\u0645\u062e\u062a\u0644\u0641\u0629 \u2013 \u0645\u062a\u0648\u0633\u0637<\/a><\/li>\n<\/ol>\n<p>\u0641\u064a \u0627\u0644\u062e\u062a\u0627\u0645\u060c \u064a\u0644\u0639\u0628 \u0627\u0644\u062a\u0639\u0644\u0645 \u063a\u064a\u0631 \u0627\u0644\u062e\u0627\u0636\u0639 \u0644\u0644\u0631\u0642\u0627\u0628\u0629 \u062f\u0648\u0631\u064b\u0627 \u062d\u064a\u0648\u064a\u064b\u0627 \u0641\u064a \u0627\u0643\u062a\u0634\u0627\u0641 \u0627\u0644\u0645\u0639\u0631\u0641\u0629 \u0627\u0644\u0645\u0633\u062a\u0642\u0644\u0629\u060c \u0645\u0645\u0627 \u064a\u0645\u0643\u0651\u0646 \u0627\u0644\u0622\u0644\u0627\u062a \u0645\u0646 \u0627\u0633\u062a\u0643\u0634\u0627\u0641 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u062f\u0648\u0646 \u062a\u0648\u062c\u064a\u0647 \u0648\u0627\u0636\u062d. \u0645\u0639 \u0623\u0646\u0648\u0627\u0639\u0647 \u0627\u0644\u0645\u062e\u062a\u0644\u0641\u0629 \u0648\u062a\u0637\u0628\u064a\u0642\u0627\u062a\u0647 \u0648\u0645\u0633\u062a\u0642\u0628\u0644\u0647 \u0627\u0644\u0648\u0627\u0639\u062f\u060c \u0644\u0627 \u064a\u0632\u0627\u0644 \u0627\u0644\u062a\u0639\u0644\u0645 \u063a\u064a\u0631 \u0627\u0644\u062e\u0627\u0636\u0639 \u0644\u0644\u0631\u0642\u0627\u0628\u0629 \u064a\u0645\u062b\u0644 \u062d\u062c\u0631 \u0627\u0644\u0632\u0627\u0648\u064a\u0629 \u0641\u064a \u062a\u0642\u062f\u0645 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a \u0648\u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u064a. \u0645\u0639 \u062a\u0637\u0648\u0631 \u0627\u0644\u062a\u0643\u0646\u0648\u0644\u0648\u062c\u064a\u0627 \u0648\u0632\u064a\u0627\u062f\u0629 \u0648\u0641\u0631\u0629 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a\u060c \u0641\u0625\u0646 \u0627\u0644\u062a\u0622\u0632\u0631 \u0628\u064a\u0646 \u0627\u0644\u062a\u0639\u0644\u0645 \u063a\u064a\u0631 \u0627\u0644\u062e\u0627\u0636\u0639 \u0644\u0644\u0631\u0642\u0627\u0628\u0629 \u0648\u0627\u0644\u062e\u0648\u0627\u062f\u0645 \u0627\u0644\u0648\u0643\u064a\u0644\u0629 \u0633\u064a\u0639\u0632\u0632 \u0628\u0644\u0627 \u0634\u0643 \u0627\u0644\u062d\u0644\u0648\u0644 \u0627\u0644\u0645\u0628\u062a\u0643\u0631\u0629 \u0639\u0628\u0631 \u0627\u0644\u0635\u0646\u0627\u0639\u0627\u062a \u0648\u0627\u0644\u0645\u062c\u0627\u0644\u0627\u062a.<\/p>","protected":false},"featured_media":470777,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-479453","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Unsupervised Learning: Understanding the Foundations of Autonomous Knowledge Discovery<\/mark>","faq_items":[{"question":"What is unsupervised learning?","answer":"<p>Unsupervised learning is a branch of machine learning where algorithms analyze unlabeled data to discover patterns, clusters, and relationships autonomously. Unlike supervised learning, it doesn't require labeled examples, making it ideal for exploring data without prior knowledge of classes or categories.<\/p>"},{"question":"How did unsupervised learning originate?","answer":"<p>The concept of unsupervised learning was first mentioned in the early 1970s during the early days of artificial intelligence and machine learning research. Researchers sought ways to enable machines to learn from data without explicit labels, leading to the emergence of unsupervised learning algorithms.<\/p>"},{"question":"How does unsupervised learning work?","answer":"<p>Unsupervised learning utilizes techniques like clustering and dimensionality reduction. Clustering groups similar data points into clusters based on their similarities, while dimensionality reduction reduces the number of features while retaining essential information in the data.<\/p>"},{"question":"What are the key features of unsupervised learning?","answer":"<p>The main features of unsupervised learning are its independence from labeled data, its exploratory nature to discover hidden patterns, its capability for anomaly detection, and its usefulness as a preprocessing step before applying other learning methods.<\/p>"},{"question":"What types of unsupervised learning exist?","answer":"<p>Several types of unsupervised learning techniques include clustering, dimensionality reduction, generative models, association rule mining, and autoencoders.<\/p>"},{"question":"How is unsupervised learning used, and what problems does it solve?","answer":"<p>Unsupervised learning finds applications in customer segmentation, anomaly detection, image, and text clustering, and data preprocessing. It solves challenges related to scarce labeled data, content organization, and anomaly identification.<\/p>"},{"question":"How does unsupervised learning compare with other machine learning terms?","answer":"<p>Unsupervised learning differs from supervised learning, where data requires labels, and semi-supervised learning, which combines labeled and unlabeled data. It also stands apart from reinforcement learning, which involves learning from interactions with an environment to maximize rewards.<\/p>"},{"question":"What are the future perspectives of unsupervised learning?","answer":"<p>The future of unsupervised learning involves improved algorithms, advancements in deep learning, and research in unsupervised meta-learning for more effective learning from unlabeled data.<\/p>"},{"question":"How are proxy servers associated with unsupervised learning?","answer":"<p>Proxy servers play a vital role in unsupervised learning by aiding in data collection, privacy, load balancing, and content filtering, leading to more efficient and secure applications.<\/p>"},{"question":"Where can I find more information about unsupervised learning?","answer":"<p>For more insights into unsupervised learning, you can explore resources like \"Understanding Unsupervised Learning - Towards Data Science,\" \"Unsupervised Learning - Wikipedia,\" and \"An Introduction to Clustering and Different Methods of Clustering - Medium.\"<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/wiki\/479453","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/wiki\/479453\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/media\/470777"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/media?parent=479453"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}