
{"id":117568,"date":"2025-08-15T05:59:27","date_gmt":"2025-08-15T05:59:27","guid":{"rendered":"https:\/\/express24.ir\/d\/product\/%d8%af%d9%88%d8%b1%d9%87-%d8%ad%d8%b1%d9%81%d9%87%d8%a7%db%8c-%db%8c%d8%a7%d8%af%da%af%db%8c%d8%b1%db%8c-%d9%85%d8%a7%d8%b4%db%8c%d9%86-ibm-%d8%a8%d8%b1-%d8%b1%d9%88%db%8c-%d9%81%d9%84%d8%b4\/"},"modified":"2025-08-15T05:59:29","modified_gmt":"2025-08-15T05:59:29","slug":"%d8%af%d9%88%d8%b1%d9%87-%d8%ad%d8%b1%d9%81%d9%87%d8%a7%db%8c-%db%8c%d8%a7%d8%af%da%af%db%8c%d8%b1%db%8c-%d9%85%d8%a7%d8%b4%db%8c%d9%86-ibm-%d8%a8%d8%b1-%d8%b1%d9%88%db%8c-%d9%81%d9%84%d8%b4","status":"publish","type":"product","link":"https:\/\/express24.ir\/d\/product\/%d8%af%d9%88%d8%b1%d9%87-%d8%ad%d8%b1%d9%81%d9%87%d8%a7%db%8c-%db%8c%d8%a7%d8%af%da%af%db%8c%d8%b1%db%8c-%d9%85%d8%a7%d8%b4%db%8c%d9%86-ibm-%d8%a8%d8%b1-%d8%b1%d9%88%db%8c-%d9%81%d9%84%d8%b4\/","title":{"rendered":"\u062f\u0648\u0631\u0647 \u062d\u0631\u0641\u0647\u200c\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 IBM \u0628\u0631 \u0631\u0648\u06cc \u0641\u0644\u0634 32GB"},"content":{"rendered":"<table class=\"course-info-table\" border=\"1\" cellpadding=\"8\" cellspacing=\"0\" style=\"width: 100%; margin-bottom: 20px; border-collapse: collapse;\">\n<tr>\n<th style=\"background-color: #f5f5f5; text-align: right; width: 40%;\">\u0646\u0627\u0645 \u0645\u062d\u0635\u0648\u0644 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc<\/th>\n<td style=\"text-align: right;\"> Coursera &#8211; IBM Machine Learning Professional Certificate<\/td>\n<\/tr>\n<tr>\n<th style=\"background-color: #f5f5f5; text-align: right;\">\u0646\u0627\u0645 \u0645\u062d\u0635\u0648\u0644 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc<\/th>\n<td style=\"text-align: right;\">\u062f\u0648\u0631\u0647 \u062d\u0631\u0641\u0647\u200c\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 IBM \u0628\u0631 \u0631\u0648\u06cc \u0641\u0644\u0634 32GB<\/td>\n<\/tr>\n<tr>\n<th style=\"background-color: #f5f5f5; text-align: right;\">\u0632\u0628\u0627\u0646<\/th>\n<td style=\"text-align: right;\">\u0627\u0646\u06af\u0644\u06cc\u0633\u06cc \u0628\u0627 \u0632\u06cc\u0631\u0646\u0648\u06cc\u0633 \u0641\u0627\u0631\u0633\u06cc<\/td>\n<\/tr>\n<tr>\n<th style=\"background-color: #f5f5f5; text-align: right;\">\u0646\u0648\u0639 \u0645\u062d\u0635\u0648\u0644<\/th>\n<td style=\"text-align: right;\">\u0622\u0645\u0648\u0632\u0634 \u0648\u06cc\u062f\u06cc\u0648\u06cc\u06cc<\/td>\n<\/tr>\n<tr>\n<th style=\"background-color: #f5f5f5; text-align: right;\">\u0646\u062d\u0648\u0647 \u062a\u062d\u0648\u06cc\u0644<\/th>\n<td style=\"text-align: right;\">\u0627\u0631\u0627\u0626\u0647 \u0634\u062f\u0647 \u0628\u0631 \u0631\u0648\u06cc \u0641\u0644\u0634 \u0645\u0645\u0648\u0631\u06cc<\/td>\n<\/tr>\n<\/table>\n<div style=\"border: 2px dashed #4CAF50; border-radius: 16px; padding: 20px; background: #f9fff9; font-family: 'IRANSans', sans-serif;\">\r\n  <h2 style=\"color: #2E7D32; margin-top: 0;\">\ud83c\udf93 \u0645\u062c\u0645\u0648\u0639\u0647\u200c\u0627\u06cc \u0628\u06cc\u200c\u0646\u0638\u06cc\u0631 <\/h2>\r\n  <ul style=\"list-style-type: \u2705; padding-left: 20px; font-size: 16px; line-height: 1.8;\">\r\n    <li><strong>\u0632\u06cc\u0631\u0646\u0648\u06cc\u0633 \u06a9\u0627\u0645\u0644\u0627\u064b \u0641\u0627\u0631\u0633\u06cc<\/strong> \u0628\u0631\u0627\u06cc \u062f\u0631\u06a9 \u0622\u0633\u0627\u0646 \u0648 \u0633\u0631\u06cc\u0639<\/li>\r\n    <li>\u0627\u0631\u0627\u0626\u0647\u200c\u0634\u062f\u0647 \u0631\u0648\u06cc <strong>\u0641\u0644\u0634 32 \u06af\u06cc\u06af\u0627\u0628\u0627\u06cc\u062a\u06cc<\/strong><\/li>\r\n    <li>\u0622\u0645\u0627\u062f\u0647 \u0627\u0631\u0633\u0627\u0644 \u0641\u0648\u0631\u06cc \u0628\u0647 \u0633\u0631\u0627\u0633\u0631 \u06a9\u0634\u0648\u0631<\/li>\r\n\r\n  <\/ul>\r\n  <p style=\"color: #388E3C; font-weight: bold; font-size: 18px; margin-top: 20px;\">\r\n    \ud83d\udcda \u0634\u0631\u0648\u0639 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0627\u0632 \u0647\u0645\u06cc\u0646 \u0627\u0645\u0631\u0648\u0632 \u2014 \u0641\u0631\u0635\u062a \u0631\u0634\u062f \u0631\u0627 \u0627\u0632 \u062f\u0633\u062a \u0646\u062f\u0647!\r\n  <\/p>\r\n\t\r\n\t  <p style=\"padding-left: 20px; font-size: 16px; line-height: 1.8;\">\r\n    \u062c\u0647\u062a \u067e\u06cc\u06af\u06cc\u0631\u06cc \u0633\u0641\u0627\u0631\u0634\u060c \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u062f \u0627\u0632 \u0637\u0631\u06cc\u0642 \u0648\u0627\u062a\u0633\u200c\u0627\u067e \u0628\u0627 \u0634\u0645\u0627\u0631\u0647 <strong>09395106248<\/strong> \u06cc\u0627 \u0622\u06cc\u062f\u06cc \u062a\u0644\u06af\u0631\u0627\u0645\u06cc <strong>@ma_limbs<\/strong> \u062f\u0631 \u062a\u0645\u0627\u0633 \u0628\u0627\u0634\u06cc\u062f.\r\n  <\/p>\r\n<\/div>\n<article class=\"violin-complex-pieces\" style=\"font-family: 'Vazirmatn', sans-serif;color: #2E2E2E;line-height: 1.75;max-width: 800px;margin: 40px auto;padding: 30px;background: #FFFFFF;border-radius: 12px;box-shadow: 0 6px 20px rgba(0,0,0,0.05);\">\n<h1>\u062f\u0648\u0631\u0647 \u062d\u0631\u0641\u0647\u200c\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 IBM \u0628\u0631 \u0631\u0648\u06cc \u0641\u0644\u0634 32GB<\/h1>\n<div class='section-box'>\n<p>\u062f\u0631 \u062f\u0646\u06cc\u0627\u06cc \u0627\u0645\u0631\u0648\u0632\u060c \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0628\u0647 \u06cc\u06a9\u06cc \u0627\u0632 \u0645\u0647\u0645\u200c\u062a\u0631\u06cc\u0646 \u0648 \u062a\u062d\u0648\u0644\u200c\u0622\u0641\u0631\u06cc\u0646\u200c\u062a\u0631\u06cc\u0646 \u062d\u0648\u0632\u0647\u200c\u0647\u0627\u06cc \u0641\u0646\u0627\u0648\u0631\u06cc \u062a\u0628\u062f\u06cc\u0644 \u0634\u062f\u0647 \u0627\u0633\u062a. \u062a\u0648\u0627\u0646\u0627\u06cc\u06cc \u0633\u0627\u062e\u062a \u0633\u06cc\u0633\u062a\u0645\u200c\u0647\u0627\u06cc\u06cc \u06a9\u0647 \u0642\u0627\u062f\u0631 \u0628\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0627\u0632 \u062f\u0627\u062f\u0647\u200c\u0647\u0627 \u0648 \u0627\u062a\u062e\u0627\u0630 \u062a\u0635\u0645\u06cc\u0645\u0627\u062a \u0647\u0648\u0634\u0645\u0646\u062f\u0627\u0646\u0647 \u0647\u0633\u062a\u0646\u062f\u060c \u062f\u0631\u0628\u200c\u0647\u0627\u06cc \u062c\u062f\u06cc\u062f\u06cc \u0631\u0627 \u062f\u0631 \u06a9\u0633\u0628\u200c\u0648\u06a9\u0627\u0631\u0647\u0627\u060c \u062a\u062d\u0642\u06cc\u0642\u0627\u062a \u0639\u0644\u0645\u06cc \u0648 \u062d\u062a\u06cc \u0632\u0646\u062f\u06af\u06cc \u0631\u0648\u0632\u0645\u0631\u0647 \u06af\u0634\u0648\u062f\u0647 \u0627\u0633\u062a. \u062f\u0648\u0631\u0647 \u062d\u0631\u0641\u0647\u200c\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 IBM\u060c \u06a9\u0647 \u0627\u06a9\u0646\u0648\u0646 \u0628\u0631 \u0631\u0648\u06cc \u06cc\u06a9 \u0641\u0644\u0634 \u0645\u0645\u0648\u0631\u06cc 32 \u06af\u06cc\u06af\u0627\u0628\u0627\u06cc\u062a\u06cc \u062f\u0631 \u062f\u0633\u062a\u0631\u0633 \u0634\u0645\u0627 \u0642\u0631\u0627\u0631 \u062f\u0627\u0631\u062f\u060c \u0645\u0633\u06cc\u0631\u06cc \u062c\u0627\u0645\u0639 \u0648 \u0639\u0645\u0644\u06cc \u0631\u0627 \u0628\u0631\u0627\u06cc \u062a\u0633\u0644\u0637 \u0628\u0631 \u0627\u06cc\u0646 \u062d\u0648\u0632\u0647 \u0647\u06cc\u062c\u0627\u0646\u200c\u0627\u0646\u06af\u06cc\u0632 \u0641\u0631\u0627\u0647\u0645 \u0645\u06cc\u200c\u06a9\u0646\u062f.<\/p>\n<p>\u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u0628\u0627 \u0647\u062f\u0641 \u062a\u0628\u062f\u06cc\u0644 \u0639\u0644\u0627\u0642\u0647\u200c\u0645\u0646\u062f\u0627\u0646 \u0648 \u0645\u062a\u062e\u0635\u0635\u0627\u0646 \u0628\u0647 \u062d\u0631\u0641\u0647\u200c\u0627\u06cc\u200c\u0647\u0627\u06cc \u0645\u0627\u0647\u0631 \u062f\u0631 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0637\u0631\u0627\u062d\u06cc \u0634\u062f\u0647 \u0627\u0633\u062a. \u0628\u0627 \u0627\u0631\u0627\u0626\u0647 \u0645\u0641\u0627\u0647\u06cc\u0645 \u062a\u0626\u0648\u0631\u06cc \u0628\u0646\u06cc\u0627\u062f\u06cc\u060c \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u200c\u0647\u0627\u06cc \u06a9\u0644\u06cc\u062f\u06cc \u0648 \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u0639\u0645\u0644\u06cc\u060c \u0634\u0645\u0627 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0645\u0648\u0627\u062c\u0647\u0647 \u0628\u0627 \u0686\u0627\u0644\u0634\u200c\u0647\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u062f\u0646\u06cc\u0627\u06cc \u062f\u0627\u062f\u0647 \u0622\u0645\u0627\u062f\u0647 \u0645\u06cc\u200c\u0633\u0627\u0632\u062f. \u062f\u0633\u062a\u0631\u0633\u06cc \u0641\u06cc\u0632\u06cc\u06a9\u06cc \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u0628\u0631 \u0631\u0648\u06cc \u0641\u0644\u0634 \u0645\u0645\u0648\u0631\u06cc\u060c \u062a\u062c\u0631\u0628\u0647\u200c\u0627\u06cc \u0645\u0646\u062d\u0635\u0631 \u0628\u0647 \u0641\u0631\u062f \u0648 \u067e\u0627\u06cc\u062f\u0627\u0631 \u0631\u0627 \u0628\u0631\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0628\u062f\u0648\u0646 \u0648\u0627\u0628\u0633\u062a\u06af\u06cc \u0628\u0647 \u0627\u062a\u0635\u0627\u0644 \u0645\u062f\u0627\u0648\u0645 \u0628\u0647 \u0627\u06cc\u0646\u062a\u0631\u0646\u062a \u0641\u0631\u0627\u0647\u0645 \u0645\u06cc\u200c\u0622\u0648\u0631\u062f.<\/p>\n<\/div>\n<h2>\u0686\u0631\u0627 \u062f\u0648\u0631\u0647 \u062d\u0631\u0641\u0647\u200c\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 IBM\u061f<\/h2>\n<div class='section-box'>\n<p>\u0627\u0646\u062a\u062e\u0627\u0628 \u062f\u0648\u0631\u0647 \u0645\u0646\u0627\u0633\u0628 \u0628\u0631\u0627\u06cc \u0648\u0631\u0648\u062f \u0628\u0647 \u062f\u0646\u06cc\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u060c \u06af\u0627\u0645\u06cc \u062d\u06cc\u0627\u062a\u06cc \u0627\u0633\u062a. \u062f\u0648\u0631\u0647 \u062d\u0631\u0641\u0647\u200c\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 IBM\u060c \u062d\u0627\u0635\u0644 \u062a\u062c\u0631\u0628\u06cc\u0627\u062a \u0648 \u062f\u0627\u0646\u0634 \u0639\u0645\u06cc\u0642 \u0634\u0631\u06a9\u062a IBM \u062f\u0631 \u0627\u06cc\u0646 \u0632\u0645\u06cc\u0646\u0647 \u0627\u0633\u062a. \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u0646\u0647 \u062a\u0646\u0647\u0627 \u0645\u0628\u0627\u0646\u06cc \u0646\u0638\u0631\u06cc \u0631\u0627 \u067e\u0648\u0634\u0634 \u0645\u06cc\u200c\u062f\u0647\u062f\u060c \u0628\u0644\u06a9\u0647 \u0628\u0631 \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u06cc \u0639\u0645\u0644\u06cc \u0648 \u0645\u0647\u0627\u0631\u062a\u200c\u0647\u0627\u06cc \u0644\u0627\u0632\u0645 \u0628\u0631\u0627\u06cc \u0645\u0648\u0641\u0642\u06cc\u062a \u062f\u0631 \u0628\u0627\u0632\u0627\u0631 \u06a9\u0627\u0631 \u062a\u0645\u0631\u06a9\u0632 \u062f\u0627\u0631\u062f. \u0628\u0627 \u062f\u0631\u06cc\u0627\u0641\u062a \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u0628\u0631 \u0631\u0648\u06cc \u0641\u0644\u0634 \u0645\u0645\u0648\u0631\u06cc\u060c \u0634\u0645\u0627 \u0635\u0627\u062d\u0628 \u0645\u062c\u0645\u0648\u0639\u0647\u200c\u0627\u06cc \u0627\u0631\u0632\u0634\u0645\u0646\u062f \u0627\u0632 \u0645\u062d\u062a\u0648\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u062e\u0648\u0627\u0647\u06cc\u062f \u0628\u0648\u062f \u06a9\u0647 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u062f \u062f\u0631 \u0647\u0631 \u0632\u0645\u0627\u0646 \u0648 \u0645\u06a9\u0627\u0646\u06cc \u0628\u0647 \u0622\u0646 \u062f\u0633\u062a\u0631\u0633\u06cc \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f.<\/p>\n<ul>\n<li><span class=\"highlight\">\u062a\u062e\u0635\u0635 IBM:<\/span> \u0628\u0647\u0631\u0647\u200c\u06af\u06cc\u0631\u06cc \u0627\u0632 \u062f\u0627\u0646\u0634 \u0648 \u062a\u062c\u0631\u0628\u0647 \u067e\u06cc\u0634\u0631\u0648 IBM \u062f\u0631 \u062d\u0648\u0632\u0647 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0648 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646.<\/li>\n<li><span class=\"highlight\">\u0645\u062d\u062a\u0648\u0627\u06cc \u062c\u0627\u0645\u0639:<\/span> \u067e\u0648\u0634\u0634 \u06a9\u0627\u0645\u0644 \u0645\u0641\u0627\u0647\u06cc\u0645\u060c \u0627\u0632 \u0645\u0628\u0627\u0646\u06cc \u062a\u0627 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u200c\u0647\u0627\u06cc \u067e\u06cc\u0634\u0631\u0641\u062a\u0647 \u0648 \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u0639\u0645\u0644\u06cc.<\/li>\n<li><span class=\"highlight\">\u0641\u0631\u0645\u062a \u0641\u06cc\u0632\u06cc\u06a9\u06cc:<\/span> \u062f\u0633\u062a\u0631\u0633\u06cc \u0622\u0633\u0627\u0646 \u0648 \u0628\u062f\u0648\u0646 \u0646\u06cc\u0627\u0632 \u0628\u0647 \u0627\u06cc\u0646\u062a\u0631\u0646\u062a \u0628\u0631 \u0631\u0648\u06cc \u0641\u0644\u0634 \u0645\u0645\u0648\u0631\u06cc 32 \u06af\u06cc\u06af\u0627\u0628\u0627\u06cc\u062a\u06cc.<\/li>\n<li><span class=\"highlight\">\u06a9\u0627\u0631\u0628\u0631\u062f\u06cc \u0628\u0648\u062f\u0646:<\/span> \u062a\u0645\u0631\u06a9\u0632 \u0628\u0631 \u067e\u0631\u0648\u0698\u0647\u200c\u0647\u0627 \u0648 \u0645\u0637\u0627\u0644\u0639\u0627\u062a \u0645\u0648\u0631\u062f\u06cc \u0648\u0627\u0642\u0639\u06cc \u0628\u0631\u0627\u06cc \u062f\u0631\u06a9 \u0639\u0645\u06cc\u0642\u200c\u062a\u0631.<\/li>\n<li><span class=\"highlight\">\u062a\u0648\u0633\u0639\u0647 \u0634\u063a\u0644\u06cc:<\/span> \u06a9\u0633\u0628 \u0645\u0647\u0627\u0631\u062a\u200c\u0647\u0627\u06cc \u0645\u0648\u0631\u062f \u0646\u06cc\u0627\u0632 \u0628\u0631\u0627\u06cc \u0648\u0631\u0648\u062f \u0628\u0647 \u0645\u0634\u0627\u063a\u0644 \u0645\u0631\u062a\u0628\u0637 \u0628\u0627 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0648 \u0639\u0644\u0645 \u062f\u0627\u062f\u0647.<\/li>\n<\/ul>\n<\/div>\n<h2>\u0622\u0646\u0686\u0647 \u062e\u0648\u0627\u0647\u06cc\u062f \u0622\u0645\u0648\u062e\u062a<\/h2>\n<div class='section-box'>\n<p>\u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u06af\u0633\u062a\u0631\u0647 \u0648\u0633\u06cc\u0639\u06cc \u0627\u0632 \u0645\u0648\u0636\u0648\u0639\u0627\u062a \u06a9\u0644\u06cc\u062f\u06cc \u062f\u0631 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0631\u0627 \u062f\u0631 \u0628\u0631 \u0645\u06cc\u200c\u06af\u06cc\u0631\u062f \u0648 \u0634\u0645\u0627 \u0631\u0627 \u0642\u0627\u062f\u0631 \u0645\u06cc\u200c\u0633\u0627\u0632\u062f \u062a\u0627 \u0628\u0627 \u0627\u0639\u062a\u0645\u0627\u062f \u0628\u0647 \u0646\u0641\u0633 \u0628\u0647 \u062a\u062d\u0644\u06cc\u0644 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u060c \u0633\u0627\u062e\u062a \u0645\u062f\u0644\u200c\u0647\u0627 \u0648 \u0627\u0633\u062a\u0642\u0631\u0627\u0631 \u0622\u0646\u200c\u0647\u0627 \u0628\u067e\u0631\u062f\u0627\u0632\u06cc\u062f.<\/p>\n<h3>\u0645\u0628\u0627\u0646\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646<\/h3>\n<p>\u0634\u0631\u0648\u0639 \u0633\u0641\u0631 \u0628\u0627 \u062f\u0631\u06a9 \u0645\u0641\u0627\u0647\u06cc\u0645 \u067e\u0627\u06cc\u0647\u200c\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u060c \u0627\u0646\u0648\u0627\u0639 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc (\u0646\u0638\u0627\u0631\u062a \u0634\u062f\u0647\u060c \u0628\u062f\u0648\u0646 \u0646\u0638\u0627\u0631\u062a\u060c \u062a\u0642\u0648\u06cc\u062a\u06cc) \u0648 \u0641\u0631\u0622\u06cc\u0646\u062f \u06a9\u0644\u06cc \u0633\u0627\u062e\u062a \u06cc\u06a9 \u0645\u062f\u0644 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646.<\/p>\n<ul>\n<li><strong>\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0646\u0638\u0627\u0631\u062a \u0634\u062f\u0647 (Supervised Learning):<\/strong> \u0631\u06af\u0631\u0633\u06cc\u0648\u0646\u060c \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc\u060c \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u200c\u0647\u0627\u06cc \u0631\u0627\u06cc\u062c \u0645\u0627\u0646\u0646\u062f \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u062e\u0637\u06cc \u0648 \u0644\u062c\u0633\u062a\u06cc\u06a9\u060c \u0645\u0627\u0634\u06cc\u0646\u200c\u0647\u0627\u06cc \u0628\u0631\u062f\u0627\u0631 \u067e\u0634\u062a\u06cc\u0628\u0627\u0646 (SVM)\u060c \u062f\u0631\u062e\u062a\u200c\u0647\u0627\u06cc \u062a\u0635\u0645\u06cc\u0645 \u0648 \u062c\u0646\u06af\u0644\u200c\u0647\u0627\u06cc \u062a\u0635\u0627\u062f\u0641\u06cc.<\/li>\n<li><strong>\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0628\u062f\u0648\u0646 \u0646\u0638\u0627\u0631\u062a (Unsupervised Learning):<\/strong> \u062e\u0648\u0634\u0647\u200c\u0628\u0646\u062f\u06cc (Clustering) \u0645\u0627\u0646\u0646\u062f K-Means\u060c \u06a9\u0627\u0647\u0634 \u0627\u0628\u0639\u0627\u062f (Dimensionality Reduction) \u0645\u0627\u0646\u0646\u062f PCA.<\/li>\n<li><strong>\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u062a\u0642\u0648\u06cc\u062a\u06cc (Reinforcement Learning):<\/strong> \u0622\u0634\u0646\u0627\u06cc\u06cc \u0628\u0627 \u0645\u0641\u0627\u0647\u06cc\u0645 \u0639\u0627\u0645\u0644\u060c \u0645\u062d\u06cc\u0637\u060c \u067e\u0627\u062f\u0627\u0634 \u0648 \u0633\u06cc\u0627\u0633\u062a\u200c\u0647\u0627.<\/li>\n<\/ul>\n<h3>\u067e\u06cc\u0634\u200c\u067e\u0631\u062f\u0627\u0632\u0634 \u062f\u0627\u062f\u0647\u200c\u0647\u0627 \u0648 \u0645\u0647\u0646\u062f\u0633\u06cc \u0648\u06cc\u0698\u06af\u06cc<\/h3>\n<p>\u06a9\u06cc\u0641\u06cc\u062a \u062f\u0627\u062f\u0647\u200c\u0647\u0627 \u0639\u0627\u0645\u0644 \u062d\u06cc\u0627\u062a\u06cc \u062f\u0631 \u0645\u0648\u0641\u0642\u06cc\u062a \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0627\u0633\u062a. \u062f\u0631 \u0627\u06cc\u0646 \u0628\u062e\u0634\u060c \u062a\u06a9\u0646\u06cc\u06a9\u200c\u0647\u0627\u06cc \u0644\u0627\u0632\u0645 \u0628\u0631\u0627\u06cc \u0622\u0645\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u062f\u0627\u062f\u0647\u200c\u0647\u0627 \u0631\u0627 \u0641\u0631\u0627 \u062e\u0648\u0627\u0647\u06cc\u062f \u06af\u0631\u0641\u062a.<\/p>\n<ul>\n<li>\u067e\u0627\u06a9\u0633\u0627\u0632\u06cc \u062f\u0627\u062f\u0647\u200c\u0647\u0627 (Data Cleaning)\u060c \u0645\u062f\u06cc\u0631\u06cc\u062a \u0645\u0642\u0627\u062f\u06cc\u0631 \u06af\u0645\u0634\u062f\u0647.<\/li>\n<li>\u062a\u0628\u062f\u06cc\u0644 \u062f\u0627\u062f\u0647\u200c\u0647\u0627 (Data Transformation) \u0648 \u0646\u0631\u0645\u0627\u0644\u200c\u0633\u0627\u0632\u06cc (Normalization).<\/li>\n<li>\u0645\u0647\u0646\u062f\u0633\u06cc \u0648\u06cc\u0698\u06af\u06cc (Feature Engineering): \u0627\u0646\u062a\u062e\u0627\u0628 \u0648 \u0633\u0627\u062e\u062a \u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627\u06cc \u0645\u0631\u062a\u0628\u0637 \u0628\u0631\u0627\u06cc \u0628\u0647\u0628\u0648\u062f \u0639\u0645\u0644\u06a9\u0631\u062f \u0645\u062f\u0644.<\/li>\n<li>\u0645\u062f\u06cc\u0631\u06cc\u062a \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc (Categorical Data) \u0645\u0627\u0646\u0646\u062f One-Hot Encoding.<\/li>\n<\/ul>\n<h3>\u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0648 \u0628\u0647\u06cc\u0646\u0647\u200c\u0633\u0627\u0632\u06cc \u0645\u062f\u0644<\/h3>\n<p>\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0686\u06af\u0648\u0646\u06af\u06cc \u0633\u0646\u062c\u0634 \u0639\u0645\u0644\u06a9\u0631\u062f \u0645\u062f\u0644\u200c\u0647\u0627 \u0648 \u0628\u0647\u0628\u0648\u062f \u0646\u062a\u0627\u06cc\u062c \u0622\u0646\u200c\u0647\u0627.<\/p>\n<ul>\n<li>\u0645\u0639\u06cc\u0627\u0631\u0647\u0627\u06cc \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc: \u062f\u0642\u062a (Accuracy)\u060c \u0635\u062d\u062a (Precision)\u060c \u0628\u0627\u0632\u06cc\u0627\u0628\u06cc (Recall)\u060c \u0627\u0645\u062a\u06cc\u0627\u0632 F1\u060c \u0645\u0646\u062d\u0646\u06cc ROC \u0648 AUC.<\/li>\n<li>\u0627\u0639\u062a\u0628\u0627\u0631\u0633\u0646\u062c\u06cc \u0645\u062a\u0642\u0627\u0628\u0644 (Cross-Validation).<\/li>\n<li>\u062a\u0646\u0638\u06cc\u0645 \u0641\u0631\u0627\u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627 (Hyperparameter Tuning) \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0631\u0648\u0634\u200c\u0647\u0627\u06cc\u06cc \u0645\u0627\u0646\u0646\u062f Grid Search \u0648 Random Search.<\/li>\n<li>\u062c\u0644\u0648\u06af\u06cc\u0631\u06cc \u0627\u0632 \u0628\u06cc\u0634\u200c\u0628\u0631\u0627\u0632\u0634 (Overfitting) \u0648 \u06a9\u0645\u200c\u0628\u0631\u0627\u0632\u0634 (Underfitting).<\/li>\n<\/ul>\n<h3>\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 (Deep Learning)<\/h3>\n<p>\u06a9\u0627\u0648\u0634\u06cc \u062f\u0631 \u0634\u0628\u06a9\u0647\u200c\u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0648 \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u06cc \u0622\u0646\u200c\u0647\u0627.<\/p>\n<ul>\n<li>\u0622\u0634\u0646\u0627\u06cc\u06cc \u0628\u0627 \u0633\u0627\u062e\u062a\u0627\u0631 \u0634\u0628\u06a9\u0647\u200c\u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u067e\u0631\u0633\u067e\u062a\u0631\u0648\u0646 \u0686\u0646\u062f\u0644\u0627\u06cc\u0647 (MLP).<\/li>\n<li>\u0634\u0628\u06a9\u0647\u200c\u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u06a9\u0627\u0646\u0648\u0644\u0648\u0634\u0646\u0627\u0644 (CNN) \u0628\u0631\u0627\u06cc \u067e\u0631\u062f\u0627\u0632\u0634 \u062a\u0635\u0648\u06cc\u0631.<\/li>\n<li>\u0634\u0628\u06a9\u0647\u200c\u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0628\u0627\u0632\u06af\u0634\u062a\u06cc (RNN) \u0648 LSTM \u0628\u0631\u0627\u06cc \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u062a\u0631\u062a\u06cc\u0628\u06cc \u0648 \u0632\u0628\u0627\u0646 \u0637\u0628\u06cc\u0639\u06cc.<\/li>\n<li>\u0641\u0631\u06cc\u0645\u200c\u0648\u0631\u06a9\u200c\u0647\u0627\u06cc \u0645\u062d\u0628\u0648\u0628 \u0645\u0627\u0646\u0646\u062f TensorFlow \u0648 PyTorch.<\/li>\n<\/ul>\n<h3>\u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u06cc \u0639\u0645\u0644\u06cc \u0648 \u0627\u0628\u0632\u0627\u0631\u0647\u0627<\/h3>\n<p>\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0686\u06af\u0648\u0646\u06af\u06cc \u0628\u0647 \u06a9\u0627\u0631\u06af\u06cc\u0631\u06cc \u0622\u0645\u0648\u062e\u062a\u0647\u200c\u0647\u0627 \u062f\u0631 \u0633\u0646\u0627\u0631\u06cc\u0648\u0647\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc.<\/p>\n<ul>\n<li><strong>\u067e\u0631\u062f\u0627\u0632\u0634 \u0632\u0628\u0627\u0646 \u0637\u0628\u06cc\u0639\u06cc (NLP):<\/strong> \u062a\u062d\u0644\u06cc\u0644 \u0627\u062d\u0633\u0627\u0633\u0627\u062a\u060c \u0645\u062f\u0644\u200c\u0633\u0627\u0632\u06cc \u0645\u0648\u0636\u0648\u0639\u06cc\u060c \u062a\u0631\u062c\u0645\u0647 \u0645\u0627\u0634\u06cc\u0646\u06cc.<\/li>\n<li><strong>\u0628\u06cc\u0646\u0627\u06cc\u06cc \u0645\u0627\u0634\u06cc\u0646 (Computer Vision):<\/strong> \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621\u060c \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u062a\u0635\u0627\u0648\u06cc\u0631.<\/li>\n<li><strong>\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u062a\u0642\u0648\u06cc\u062a\u06cc \u062f\u0631 \u0639\u0645\u0644:<\/strong> \u0628\u0627\u0632\u06cc\u200c\u0647\u0627\u060c \u0631\u0628\u0627\u062a\u06cc\u06a9.<\/li>\n<li><strong>\u0627\u0628\u0632\u0627\u0631\u0647\u0627 \u0648 \u0632\u0628\u0627\u0646\u200c\u0647\u0627\u06cc \u0628\u0631\u0646\u0627\u0645\u0647\u200c\u0646\u0648\u06cc\u0633\u06cc:<\/strong> \u062a\u0633\u0644\u0637 \u0628\u0631 Python \u0648 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647\u200c\u0647\u0627\u06cc \u06a9\u0644\u06cc\u062f\u06cc \u0645\u0627\u0646\u0646\u062f Scikit-learn\u060c Pandas\u060c NumPy\u060c Matplotlib \u0648 Seaborn.<\/li>\n<li><strong>\u06a9\u0627\u0631 \u0628\u0627 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u0628\u0632\u0631\u06af:<\/strong> \u0622\u0634\u0646\u0627\u06cc\u06cc \u0628\u0627 \u0645\u0641\u0627\u0647\u06cc\u0645 Spark \u0648 Hadoop \u0628\u0631\u0627\u06cc \u067e\u0631\u062f\u0627\u0632\u0634 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u062d\u062c\u06cc\u0645.<\/li>\n<\/ul>\n<\/div>\n<h2>\u0633\u0627\u062e\u062a\u0627\u0631 \u062f\u0648\u0631\u0647 \u0648 \u067e\u0631\u0648\u0698\u0647\u200c\u0647\u0627<\/h2>\n<div class='section-box'>\n<p>\u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u0628\u0647 \u0635\u0648\u0631\u062a \u0645\u0627\u0698\u0648\u0644\u0627\u0631 \u0637\u0631\u0627\u062d\u06cc \u0634\u062f\u0647 \u0627\u0633\u062a \u0648 \u0647\u0631 \u0628\u062e\u0634 \u0628\u0631 \u0645\u0641\u0627\u0647\u06cc\u0645 \u0648 \u0645\u0647\u0627\u0631\u062a\u200c\u0647\u0627\u06cc \u062e\u0627\u0635\u06cc \u062a\u0645\u0631\u06a9\u0632 \u062f\u0627\u0631\u062f. \u062f\u0631 \u0637\u0648\u0644 \u062f\u0648\u0631\u0647\u060c \u0634\u0645\u0627 \u0628\u0627 \u0627\u0646\u062c\u0627\u0645 \u067e\u0631\u0648\u0698\u0647\u200c\u0647\u0627\u06cc \u0639\u0645\u0644\u06cc\u060c \u062f\u0627\u0646\u0634 \u062a\u0626\u0648\u0631\u06cc \u062e\u0648\u062f \u0631\u0627 \u0628\u0647 \u0645\u0647\u0627\u0631\u062a\u200c\u0647\u0627\u06cc \u0642\u0627\u0628\u0644 \u0627\u062c\u0631\u0627 \u062a\u0628\u062f\u06cc\u0644 \u062e\u0648\u0627\u0647\u06cc\u062f \u06a9\u0631\u062f.<\/p>\n<ul>\n<li><strong>\u0645\u062d\u062a\u0648\u0627\u06cc \u0648\u06cc\u062f\u0626\u0648\u06cc\u06cc:<\/strong> \u062c\u0644\u0633\u0627\u062a \u0622\u0645\u0648\u0632\u0634\u06cc \u062c\u0627\u0645\u0639 \u06a9\u0647 \u062a\u0648\u0633\u0637 \u0645\u062a\u062e\u0635\u0635\u0627\u0646 IBM \u0627\u0631\u0627\u0626\u0647 \u0634\u062f\u0647\u200c\u0627\u0646\u062f.<\/li>\n<li><strong>\u0645\u0637\u0627\u0644\u0639\u0627\u062a \u0645\u0648\u0631\u062f\u06cc (Case Studies):<\/strong> \u0628\u0631\u0631\u0633\u06cc \u0648\u0627\u0642\u0639\u06cc \u0686\u06af\u0648\u0646\u06af\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u062f\u0631 \u0635\u0646\u0627\u06cc\u0639 \u0645\u062e\u062a\u0644\u0641 \u0645\u0627\u0646\u0646\u062f \u0628\u0647\u062f\u0627\u0634\u062a\u060c \u0645\u0627\u0644\u06cc\u060c \u062e\u0631\u062f\u0647\u200c\u0641\u0631\u0648\u0634\u06cc \u0648 \u0628\u0627\u0632\u0627\u0631\u06cc\u0627\u0628\u06cc.<\/li>\n<li><strong>\u062a\u0645\u0631\u06cc\u0646\u200c\u0647\u0627\u06cc \u06a9\u062f\u0646\u0648\u06cc\u0633\u06cc:<\/strong> \u0641\u0631\u0635\u062a\u200c\u0647\u0627\u06cc\u06cc \u0628\u0631\u0627\u06cc \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u200c\u0647\u0627 \u0648 \u0645\u062f\u0644\u200c\u0647\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 Python.<\/li>\n<li><strong>\u067e\u0631\u0648\u0698\u0647\u200c\u0647\u0627\u06cc \u0639\u0645\u0644\u06cc:<\/strong> \u0633\u0627\u062e\u062a \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc\u060c \u0633\u06cc\u0633\u062a\u0645\u200c\u0647\u0627\u06cc \u062a\u0648\u0635\u06cc\u0647\u200c\u06af\u0631\u060c \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u062a\u062d\u0644\u06cc\u0644 \u0645\u062a\u0646 \u0648 \u067e\u0631\u062f\u0627\u0632\u0634 \u062a\u0635\u0648\u06cc\u0631.<\/li>\n<li><strong>\u0622\u0632\u0645\u0648\u0646\u200c\u0647\u0627 \u0648 \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc\u200c\u0647\u0627:<\/strong> \u0628\u0631\u0627\u06cc \u0633\u0646\u062c\u0634 \u062f\u0631\u06a9 \u0634\u0645\u0627 \u0627\u0632 \u0645\u0641\u0627\u0647\u06cc\u0645 \u0622\u0645\u0648\u062e\u062a\u0647 \u0634\u062f\u0647.<\/li>\n<\/ul>\n<p><strong>\u0645\u062b\u0627\u0644 \u067e\u0631\u0648\u0698\u0647:<\/strong> \u062f\u0631 \u06cc\u06a9\u06cc \u0627\u0632 \u067e\u0631\u0648\u0698\u0647\u200c\u0647\u0627\u060c \u0634\u0645\u0627 \u06cc\u0627\u062f \u062e\u0648\u0627\u0647\u06cc\u062f \u06af\u0631\u0641\u062a \u0686\u06af\u0648\u0646\u0647 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u0645\u0634\u062a\u0631\u06cc\u0627\u0646 \u06cc\u06a9 \u0641\u0631\u0648\u0634\u06af\u0627\u0647 \u0622\u0646\u0644\u0627\u06cc\u0646\u060c \u0645\u062f\u0644\u06cc \u0628\u0633\u0627\u0632\u06cc\u062f \u06a9\u0647 \u0628\u062a\u0648\u0627\u0646\u062f \u0627\u062d\u062a\u0645\u0627\u0644 \u062e\u0631\u06cc\u062f \u0645\u062d\u0635\u0648\u0644\u0627\u062a \u0622\u06cc\u0646\u062f\u0647 \u062a\u0648\u0633\u0637 \u0647\u0631 \u0645\u0634\u062a\u0631\u06cc \u0631\u0627 \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc \u06a9\u0646\u062f (\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0646\u0638\u0627\u0631\u062a \u0634\u062f\u0647 \u0628\u0627 \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u0644\u062c\u0633\u062a\u06cc\u06a9) \u06cc\u0627 \u0686\u06af\u0648\u0646\u0647 \u0628\u0627 \u062a\u062d\u0644\u06cc\u0644 \u0646\u0638\u0631\u0627\u062a \u06a9\u0627\u0631\u0628\u0631\u0627\u0646 \u062f\u0631 \u0634\u0628\u06a9\u0647\u200c\u0647\u0627\u06cc \u0627\u062c\u062a\u0645\u0627\u0639\u06cc\u060c \u0627\u062d\u0633\u0627\u0633\u0627\u062a \u06a9\u0644\u06cc \u0646\u0633\u0628\u062a \u0628\u0647 \u06cc\u06a9 \u0645\u062d\u0635\u0648\u0644 \u062e\u0627\u0635 \u0631\u0627 \u062a\u0634\u062e\u06cc\u0635 \u062f\u0647\u06cc\u062f (\u067e\u0631\u062f\u0627\u0632\u0634 \u0632\u0628\u0627\u0646 \u0637\u0628\u06cc\u0639\u06cc).<\/p>\n<\/div>\n<h2>\u067e\u06cc\u0634\u200c\u0646\u06cc\u0627\u0632\u0647\u0627<\/h2>\n<div class='section-box'>\n<p>\u0628\u0631\u0627\u06cc \u0628\u0647\u0631\u0647\u200c\u0645\u0646\u062f\u06cc \u06a9\u0627\u0645\u0644 \u0627\u0632 \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647\u060c \u062f\u0627\u0634\u062a\u0646 \u0628\u0631\u062e\u06cc \u062f\u0627\u0646\u0634 \u067e\u0627\u06cc\u0647 \u0628\u0647 \u0634\u0645\u0627 \u06a9\u0645\u06a9 \u062e\u0648\u0627\u0647\u062f \u06a9\u0631\u062f:<\/p>\n<ul>\n<li><strong>\u0622\u0634\u0646\u0627\u06cc\u06cc \u0628\u0627 \u0628\u0631\u0646\u0627\u0645\u0647\u200c\u0646\u0648\u06cc\u0633\u06cc:<\/strong> \u062a\u0633\u0644\u0637 \u0646\u0633\u0628\u06cc \u0628\u0647 \u0632\u0628\u0627\u0646 \u0628\u0631\u0646\u0627\u0645\u0647\u200c\u0646\u0648\u06cc\u0633\u06cc Python.<\/li>\n<li><strong>\u0645\u0628\u0627\u0646\u06cc \u0631\u06cc\u0627\u0636\u06cc:<\/strong> \u062f\u0631\u06a9 \u0645\u0641\u0627\u0647\u06cc\u0645 \u067e\u0627\u06cc\u0647\u200c\u0627\u06cc \u0622\u0645\u0627\u0631 \u0648 \u0627\u062d\u062a\u0645\u0627\u0644\u0627\u062a.<\/li>\n<li><strong>\u062f\u0627\u0646\u0634 \u0645\u0642\u062f\u0645\u0627\u062a\u06cc \u062c\u0628\u0631 \u062e\u0637\u06cc:<\/strong> \u0622\u0634\u0646\u0627\u06cc\u06cc \u0628\u0627 \u0645\u0641\u0627\u0647\u06cc\u0645\u06cc \u0645\u0627\u0646\u0646\u062f \u0628\u0631\u062f\u0627\u0631\u0647\u0627 \u0648 \u0645\u0627\u062a\u0631\u06cc\u0633\u200c\u0647\u0627 \u0628\u0647 \u062f\u0631\u06a9 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u200c\u0647\u0627 \u06a9\u0645\u06a9 \u0645\u06cc\u200c\u06a9\u0646\u062f.<\/li>\n<\/ul>\n<p>\u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644\u060c \u0627\u06af\u0631 \u062f\u0627\u0646\u0634 \u067e\u0627\u06cc\u0647\u200c\u0627\u06cc \u062f\u0631 \u0627\u06cc\u0646 \u0632\u0645\u06cc\u0646\u0647\u200c\u0647\u0627 \u0646\u062f\u0627\u0631\u06cc\u062f\u060c \u062f\u0648\u0631\u0647 \u0634\u0627\u0645\u0644 \u0628\u062e\u0634\u200c\u0647\u0627\u06cc\u06cc \u0628\u0631\u0627\u06cc \u0645\u0631\u0648\u0631 \u0648 \u062a\u0642\u0648\u06cc\u062a \u0627\u06cc\u0646 \u0645\u0647\u0627\u0631\u062a\u200c\u0647\u0627 \u0646\u06cc\u0632 \u0645\u06cc\u200c\u0634\u0648\u062f.<\/p>\n<\/div>\n<h2>\u0645\u0632\u0627\u06cc\u0627\u06cc \u062f\u0648\u0631\u0647<\/h2>\n<div class='section-box'>\n<p>\u0633\u0631\u0645\u0627\u06cc\u0647\u200c\u06af\u0630\u0627\u0631\u06cc \u0628\u0631 \u0631\u0648\u06cc \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647\u060c \u0646\u062a\u0627\u06cc\u062c \u0645\u0644\u0645\u0648\u0633\u06cc \u0628\u0631\u0627\u06cc \u0631\u0634\u062f \u062d\u0631\u0641\u0647\u200c\u0627\u06cc \u0634\u0645\u0627 \u062e\u0648\u0627\u0647\u062f \u062f\u0627\u0634\u062a:<\/p>\n<ul>\n<li><strong>\u06a9\u0633\u0628 \u0645\u0647\u0627\u0631\u062a\u200c\u0647\u0627\u06cc \u067e\u0631\u062a\u0642\u0627\u0636\u0627:<\/strong> \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u06cc\u06a9\u06cc \u0627\u0632 \u062f\u0627\u063a\u200c\u062a\u0631\u06cc\u0646 \u0648 \u067e\u0631\u062f\u0631\u0622\u0645\u062f\u062a\u0631\u06cc\u0646 \u062d\u0648\u0632\u0647\u200c\u0647\u0627\u06cc \u0641\u0646\u0627\u0648\u0631\u06cc \u062f\u0631 \u062d\u0627\u0644 \u062d\u0627\u0636\u0631 \u0627\u0633\u062a.<\/li>\n<li><strong>\u0622\u0645\u0627\u062f\u06af\u06cc \u0628\u0631\u0627\u06cc \u0628\u0627\u0632\u0627\u0631 \u06a9\u0627\u0631:<\/strong> \u0645\u0647\u0627\u0631\u062a\u200c\u0647\u0627\u06cc \u0639\u0645\u0644\u06cc \u0648 \u062f\u0627\u0646\u0634 \u062a\u062e\u0635\u0635\u06cc \u0628\u0647 \u0634\u0645\u0627 \u0627\u0645\u06a9\u0627\u0646 \u0645\u06cc\u200c\u062f\u0647\u062f \u062f\u0631 \u0646\u0642\u0634\u200c\u0647\u0627\u06cc\u06cc \u0645\u0627\u0646\u0646\u062f \u062f\u0627\u0646\u0634\u0645\u0646\u062f \u062f\u0627\u062f\u0647 (Data Scientist)\u060c \u0645\u0647\u0646\u062f\u0633 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 (Machine Learning Engineer) \u0648 \u062a\u062d\u0644\u06cc\u0644\u06af\u0631 \u062f\u0627\u062f\u0647 (Data Analyst) \u0645\u0634\u063a\u0648\u0644 \u0628\u0647 \u06a9\u0627\u0631 \u0634\u0648\u06cc\u062f.<\/li>\n<li><strong>\u062a\u0648\u0633\u0639\u0647 \u062a\u0641\u06a9\u0631 \u062a\u062d\u0644\u06cc\u0644\u06cc:<\/strong> \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0686\u06af\u0648\u0646\u06af\u06cc \u062d\u0644 \u0645\u0633\u0627\u0626\u0644 \u067e\u06cc\u0686\u06cc\u062f\u0647 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062f\u0627\u062f\u0647\u200c\u0647\u0627 \u0648 \u0631\u0648\u06cc\u06a9\u0631\u062f\u0647\u0627\u06cc \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u06cc.<\/li>\n<li><strong>\u062f\u0633\u062a\u0631\u0633\u06cc \u067e\u0627\u06cc\u062f\u0627\u0631:<\/strong> \u0641\u0644\u0634 \u0645\u0645\u0648\u0631\u06cc 32 \u06af\u06cc\u06af\u0627\u0628\u0627\u06cc\u062a\u06cc \u062a\u0636\u0645\u06cc\u0646 \u0645\u06cc\u200c\u06a9\u0646\u062f \u06a9\u0647 \u0645\u062d\u062a\u0648\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0647\u0645\u06cc\u0634\u0647 \u062f\u0631 \u062f\u0633\u062a\u0631\u0633 \u0634\u0645\u0627\u0633\u062a\u060c \u0628\u062f\u0648\u0646 \u0646\u06cc\u0627\u0632 \u0628\u0647 \u0627\u062a\u0635\u0627\u0644 \u0645\u062f\u0627\u0648\u0645 \u0628\u0647 \u0627\u06cc\u0646\u062a\u0631\u0646\u062a \u0648 \u06cc\u0627 \u0646\u06af\u0631\u0627\u0646\u06cc \u0627\u0632 \u062a\u063a\u06cc\u06cc\u0631\u0627\u062a \u067e\u0644\u062a\u0641\u0631\u0645\u200c\u0647\u0627\u06cc \u0622\u0646\u0644\u0627\u06cc\u0646.<\/li>\n<li><strong>\u067e\u0631\u0648\u0698\u0647\u200c\u0647\u0627\u06cc \u0646\u0645\u0648\u0646\u0647:<\/strong> \u062f\u0627\u0634\u062a\u0646 \u06cc\u06a9 \u0645\u062c\u0645\u0648\u0639\u0647 \u067e\u0631\u0648\u0698\u0647 \u0639\u0645\u0644\u06cc \u062f\u0631 \u0631\u0632\u0648\u0645\u0647 \u0634\u0645\u0627\u060c \u0634\u0627\u0646\u0633 \u0645\u0648\u0641\u0642\u06cc\u062a \u062f\u0631 \u0645\u0635\u0627\u062d\u0628\u0647\u200c\u0647\u0627\u06cc \u0634\u063a\u0644\u06cc \u0631\u0627 \u0628\u0647 \u0637\u0648\u0631 \u0642\u0627\u0628\u0644 \u062a\u0648\u062c\u0647\u06cc \u0627\u0641\u0632\u0627\u06cc\u0634 \u0645\u06cc\u200c\u062f\u0647\u062f.<\/li>\n<\/ul>\n<\/div>\n<h2>\u0646\u062a\u06cc\u062c\u0647\u200c\u06af\u06cc\u0631\u06cc<\/h2>\n<div class='section-box'>\n<p>\u062f\u0648\u0631\u0647 \u062d\u0631\u0641\u0647\u200c\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 IBM \u0628\u0631 \u0631\u0648\u06cc \u0641\u0644\u0634 \u0645\u0645\u0648\u0631\u06cc 32 \u06af\u06cc\u06af\u0627\u0628\u0627\u06cc\u062a\u06cc\u060c \u06cc\u06a9 \u0641\u0631\u0635\u062a \u0627\u0633\u062a\u062b\u0646\u0627\u06cc\u06cc \u0628\u0631\u0627\u06cc \u0627\u0631\u062a\u0642\u0627\u0621 \u062f\u0627\u0646\u0634 \u0648 \u0645\u0647\u0627\u0631\u062a\u200c\u0647\u0627\u06cc \u0634\u0645\u0627 \u062f\u0631 \u06cc\u06a9\u06cc \u0627\u0632 \u0645\u0647\u0645\u200c\u062a\u0631\u06cc\u0646 \u062d\u0648\u0632\u0647\u200c\u0647\u0627\u06cc \u0641\u0646\u0627\u0648\u0631\u06cc \u0642\u0631\u0646 \u0628\u06cc\u0633\u062a \u0648 \u06cc\u06a9\u0645 \u0627\u0633\u062a. \u0628\u0627 \u0645\u062d\u062a\u0648\u0627\u06cc \u062c\u0627\u0645\u0639\u060c \u067e\u0631\u0648\u0698\u0647\u200c\u0647\u0627\u06cc \u0639\u0645\u0644\u06cc \u0648 \u0627\u0639\u062a\u0628\u0627\u0631 \u0628\u0631\u0646\u062f IBM\u060c \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u0634\u0645\u0627 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0631\u0648\u06cc\u0627\u0631\u0648\u06cc\u06cc \u0628\u0627 \u0686\u0627\u0644\u0634\u200c\u0647\u0627\u06cc \u067e\u06cc\u0686\u06cc\u062f\u0647 \u0648 \u062e\u0644\u0642 \u0646\u0648\u0622\u0648\u0631\u06cc \u062f\u0631 \u062f\u0646\u06cc\u0627\u06cc \u062f\u0627\u062f\u0647 \u0622\u0645\u0627\u062f\u0647 \u0645\u06cc\u200c\u0633\u0627\u0632\u062f. \u062f\u0633\u062a\u0631\u0633\u06cc \u0641\u06cc\u0632\u06cc\u06a9\u06cc \u0648 \u067e\u0627\u06cc\u062f\u0627\u0631 \u0627\u06cc\u0646 \u0645\u062c\u0645\u0648\u0639\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc\u060c \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0631\u0627 \u0628\u0631\u0627\u06cc \u0634\u0645\u0627 \u0622\u0633\u0627\u0646\u200c\u062a\u0631 \u0648 \u0645\u0637\u0645\u0626\u0646\u200c\u062a\u0631 \u0645\u06cc\u200c\u06a9\u0646\u062f.<\/p>\n<\/div>\n<\/article>\n","protected":false},"excerpt":{"rendered":"<p>\u0646\u0627\u0645 \u0645\u062d\u0635\u0648\u0644 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc Coursera &#8211; IBM Machine Learning Professional Certificate \u0646\u0627\u0645 \u0645\u062d\u0635\u0648\u0644 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc \u062f\u0648\u0631\u0647 \u062d\u0631\u0641\u0647\u200c\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 IBM 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