{"id":478047,"date":"2023-08-09T09:26:29","date_gmt":"2023-08-09T09:26:29","guid":{"rendered":""},"modified":"2023-09-05T11:15:58","modified_gmt":"2023-09-05T11:15:58","slug":"model-monitoring","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/ar\/wiki\/model-monitoring\/","title":{"rendered":"\u0645\u0631\u0627\u0642\u0628\u0629 \u0627\u0644\u0646\u0645\u0648\u0630\u062c"},"content":{"rendered":"<p>\u062a\u0634\u064a\u0631 \u0645\u0631\u0627\u0642\u0628\u0629 \u0627\u0644\u0646\u0645\u0627\u0630\u062c \u0625\u0644\u0649 \u0639\u0645\u0644\u064a\u0629 \u0645\u0631\u0627\u0642\u0628\u0629 \u0646\u0645\u0627\u0630\u062c \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u064a (ML) \u0628\u0645\u062c\u0631\u062f \u0646\u0634\u0631\u0647\u0627 \u0641\u064a \u0628\u064a\u0626\u0629 \u0627\u0644\u0625\u0646\u062a\u0627\u062c. \u0641\u0647\u0648 \u064a\u0636\u0645\u0646 \u0627\u0633\u062a\u0645\u0631\u0627\u0631 \u0627\u0644\u0646\u0645\u0627\u0630\u062c \u0641\u064a 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\u0645\u0639\u0642\u062f\u0629.<\/li>\n<li><strong>\u0627\u0644\u0642\u0627\u0628\u0644\u064a\u0629 \u0644\u0644\u062a\u0641\u0633\u064a\u0631<\/strong>: \u064a\u0642\u062f\u0645 \u0631\u0624\u0649 \u062d\u0648\u0644 \u0633\u0644\u0648\u0643 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0648\u0627\u0644\u0623\u062f\u0627\u0621.<\/li>\n<\/ul>\n<h2>\u0623\u0646\u0648\u0627\u0639 \u0627\u0644\u0645\u0631\u0627\u0642\u0628\u0629 \u0627\u0644\u0646\u0645\u0648\u0630\u062c\u064a\u0629<\/h2>\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>\u0645\u0631\u0627\u0642\u0628\u0629 \u0627\u0644\u0627\u062f\u0627\u0621<\/td>\n<td>\u064a\u0631\u0643\u0632 \u0639\u0644\u0649 \u062f\u0642\u0629 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0648\u0627\u0644\u0645\u0642\u0627\u064a\u064a\u0633 \u0627\u0644\u0634\u0627\u0645\u0644\u0629<\/td>\n<\/tr>\n<tr>\n<td>\u0645\u0631\u0627\u0642\u0628\u0629 \u0627\u0646\u062c\u0631\u0627\u0641 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a<\/td>\n<td>\u064a\u0643\u062a\u0634\u0641 \u0627\u0644\u062a\u063a\u064a\u064a\u0631\u0627\u062a \u0641\u064a \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0623\u0633\u0627\u0633\u064a\u0629<\/td>\n<\/tr>\n<tr>\n<td>\u0645\u0631\u0627\u0642\u0628\u0629 \u0627\u0644\u0634\u0630\u0648\u0630<\/td>\n<td>\u064a\u062c\u062f \u0633\u0644\u0648\u0643\u064b\u0627 \u063a\u064a\u0631 \u0645\u062a\u0648\u0642\u0639 \u0641\u064a \u062a\u0646\u0628\u0624\u0627\u062a \u0627\u0644\u0646\u0645\u0627\u0630\u062c<\/td>\n<\/tr>\n<tr>\n<td>\u0645\u0631\u0627\u0642\u0628\u0629 \u0627\u0644\u0639\u062f\u0627\u0644\u0629<\/td>\n<td>\u064a\u0636\u0645\u0646 \u0623\u062f\u0627\u0621 \u0646\u0645\u0648\u0630\u062c\u064a \u063a\u064a\u0631 \u0645\u062a\u062d\u064a\u0632<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u0637\u0631\u0642 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0631\u0635\u062f \u0648\u0627\u0644\u0645\u0634\u0643\u0644\u0627\u062a \u0648\u062d\u0644\u0648\u0644\u0647\u0627<\/h2>\n<ul>\n<li><strong>\u0637\u0631\u0642 \u0627\u0644\u0627\u0633\u062a\u062e\u062f\u0627\u0645<\/strong>: \u064a\u0645\u0643\u0646 \u062a\u0637\u0628\u064a\u0642 \u0627\u0644\u0645\u0631\u0627\u0642\u0628\u0629 \u0627\u0644\u0646\u0645\u0648\u0630\u062c\u064a\u0629 \u0641\u064a \u0635\u0646\u0627\u0639\u0627\u062a \u0645\u062b\u0644 \u0627\u0644\u062a\u0645\u0648\u064a\u0644 \u0648\u0627\u0644\u0631\u0639\u0627\u064a\u0629 \u0627\u0644\u0635\u062d\u064a\u0629 \u0648\u062a\u062c\u0627\u0631\u0629 \u0627\u0644\u062a\u062c\u0632\u0626\u0629 \u0648\u0645\u0627 \u0625\u0644\u0649 \u0630\u0644\u0643.<\/li>\n<li><strong>\u0645\u0634\u0627\u0643\u0644<\/strong>: \u062a\u0634\u0645\u0644 \u0627\u0644\u0645\u0634\u0643\u0644\u0627\u062a \u0627\u0644\u0645\u062d\u062a\u0645\u0644\u0629 \u0646\u0642\u0635 \u0627\u0644\u0634\u0641\u0627\u0641\u064a\u0629 \u0648\u0627\u0644\u062a\u0639\u0642\u064a\u062f \u0648\u0627\u0644\u0645\u062e\u0627\u0648\u0641 \u0627\u0644\u0645\u062a\u0639\u0644\u0642\u0629 \u0628\u062e\u0635\u0648\u0635\u064a\u0629 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a.<\/li>\n<li><strong>\u062d\u0644\u0648\u0644<\/strong>: \u0625\u0646 \u062a\u0646\u0641\u064a\u0630 \u0645\u0645\u0627\u0631\u0633\u0627\u062a \u0645\u0631\u0627\u0642\u0628\u0629 \u0642\u0648\u064a\u0629\u060c \u0648\u0627\u0644\u0627\u0645\u062a\u062b\u0627\u0644 \u0644\u0644\u0648\u0627\u0626\u062d\u060c \u0648\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0646\u0645\u0627\u0630\u062c \u0642\u0627\u0628\u0644\u0629 \u0644\u0644\u062a\u0641\u0633\u064a\u0631 \u064a\u0645\u0643\u0646 \u0623\u0646 \u064a\u062e\u0641\u0641 \u0645\u0646 \u0647\u0630\u0647 \u0627\u0644\u0645\u0634\u0643\u0644\u0627\u062a.<\/li>\n<\/ul>\n<h2>\u0627\u0644\u062e\u0635\u0627\u0626\u0635 \u0627\u0644\u0631\u0626\u064a\u0633\u064a\u0629 \u0648\u0645\u0642\u0627\u0631\u0646\u0627\u062a \u0623\u062e\u0631\u0649<\/h2>\n<ul>\n<li><strong>\u0645\u0631\u0627\u0642\u0628\u0629 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0645\u0642\u0627\u0628\u0644 \u0627\u0644\u0645\u0631\u0627\u0642\u0628\u0629 \u0627\u0644\u062a\u0642\u0644\u064a\u062f\u064a\u0629<\/strong>: \u0639\u0644\u0649 \u0639\u0643\u0633 \u0645\u0631\u0627\u0642\u0628\u0629 \u062a\u0643\u0646\u0648\u0644\u0648\u062c\u064a\u0627 \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a \u0627\u0644\u062a\u0642\u0644\u064a\u062f\u064a\u0629\u060c \u062a\u0631\u0643\u0632 \u0645\u0631\u0627\u0642\u0628\u0629 \u0627\u0644\u0646\u0645\u0627\u0630\u062c \u0628\u0634\u0643\u0644 \u062e\u0627\u0635 \u0639\u0644\u0649 \u0633\u0644\u0648\u0643 \u0648\u0623\u062f\u0627\u0621 \u0646\u0645\u0627\u0630\u062c \u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u0629.<\/li>\n<li><strong>\u0627\u0644\u062e\u0635\u0627\u0626\u0635 \u0627\u0644\u0631\u0626\u064a\u0633\u064a\u0629<\/strong>: \u0627\u0644\u062a\u062d\u0644\u064a\u0644 \u0641\u064a \u0627\u0644\u0648\u0642\u062a \u0627\u0644\u062d\u0642\u064a\u0642\u064a\u060c \u0648\u0633\u064a\u0631 \u0627\u0644\u0639\u0645\u0644 \u0627\u0644\u0622\u0644\u064a\u060c \u0648\u0642\u0627\u0628\u0644\u064a\u0629 \u0627\u0644\u062a\u0648\u0633\u0639\u060c \u0648\u0642\u0627\u0628\u0644\u064a\u0629 \u0627\u0644\u062a\u0641\u0633\u064a\u0631.<\/li>\n<\/ul>\n<h2>\u0648\u062c\u0647\u0627\u062a \u0646\u0638\u0631 \u0648\u062a\u0642\u0646\u064a\u0627\u062a \u0627\u0644\u0645\u0633\u062a\u0642\u0628\u0644 \u0627\u0644\u0645\u062a\u0639\u0644\u0642\u0629 \u0628\u0631\u0635\u062f \u0627\u0644\u0646\u0645\u0627\u0630\u062c<\/h2>\n<p>\u0645\u0646 \u0627\u0644\u0645\u0631\u062c\u062d \u0623\u0646 \u062a\u0634\u0643\u0644 \u0627\u0644\u062a\u0642\u0646\u064a\u0627\u062a \u0627\u0644\u0646\u0627\u0634\u0626\u0629 \u0645\u062b\u0644 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a \u0627\u0644\u0642\u0627\u0628\u0644 \u0644\u0644\u062a\u0641\u0633\u064a\u0631 (XAI) \u0648\u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u064a \u0627\u0644\u062a\u0644\u0642\u0627\u0626\u064a \u0648\u0627\u0644\u062a\u062f\u0631\u064a\u0628 \u0627\u0644\u0646\u0645\u0648\u0630\u062c\u064a \u0627\u0644\u0644\u0627\u0645\u0631\u0643\u0632\u064a \u0645\u0633\u062a\u0642\u0628\u0644 \u0645\u0631\u0627\u0642\u0628\u0629 \u0627\u0644\u0646\u0645\u0627\u0630\u062c. \u0633\u062a\u0638\u0644 \u0627\u0644\u0623\u062a\u0645\u062a\u0629 \u0648\u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0645\u0648\u062d\u062f \u0648\u0627\u0644\u0645\u0631\u0627\u0642\u0628\u0629 \u0641\u064a \u0627\u0644\u0648\u0642\u062a \u0627\u0644\u0641\u0639\u0644\u064a \u0636\u0631\u0648\u0631\u064a\u0629.<\/p>\n<h2>\u0643\u064a\u0641 \u064a\u0645\u0643\u0646 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062e\u0648\u0627\u062f\u0645 \u0627\u0644\u0648\u0643\u064a\u0644\u0629 \u0623\u0648 \u0631\u0628\u0637\u0647\u0627 \u0628\u0645\u0631\u0627\u0642\u0628\u0629 \u0627\u0644\u0646\u0645\u0627\u0630\u062c<\/h2>\n<p>\u064a\u0645\u0643\u0646 \u0644\u0644\u062e\u0648\u0627\u062f\u0645 \u0627\u0644\u0648\u0643\u064a\u0644\u0629\u060c \u0645\u062b\u0644 \u062a\u0644\u0643 \u0627\u0644\u062a\u064a \u064a\u0648\u0641\u0631\u0647\u0627 OneProxy\u060c \u0623\u0646 \u062a\u0644\u0639\u0628 \u062f\u0648\u0631\u064b\u0627 \u062d\u0627\u0633\u0645\u064b\u0627 \u0641\u064a \u0645\u0631\u0627\u0642\u0628\u0629 \u0627\u0644\u0646\u0645\u0648\u0630\u062c. \u064a\u0645\u0643\u0646 \u0627\u0633\u062a\u062e\u062f\u0627\u0645\u0647\u0627 \u0645\u0646 \u0623\u062c\u0644:<\/p>\n<ul>\n<li>\u062c\u0645\u0639 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0644\u0644\u0645\u0631\u0627\u0642\u0628\u0629 \u062f\u0648\u0646 \u0627\u0644\u0643\u0634\u0641 \u0639\u0646 \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a \u0627\u0644\u062d\u0633\u0627\u0633\u0629.<\/li>\n<li>\u0625\u062f\u0627\u0631\u0629 \u0627\u0644\u0637\u0644\u0628\u0627\u062a \u0625\u0644\u0649 \u0646\u0642\u0627\u0637 \u0627\u0644\u0646\u0647\u0627\u064a\u0629 \u0627\u0644\u0646\u0645\u0648\u0630\u062c\u064a\u0629 \u0627\u0644\u0645\u062e\u062a\u0644\u0641\u0629 \u0628\u0643\u0641\u0627\u0621\u0629.<\/li>\n<li>\u0636\u0645\u0627\u0646 \u0627\u0644\u0648\u0635\u0648\u0644 \u0627\u0644\u0622\u0645\u0646 \u0648\u0627\u0644\u0645\u062a\u062d\u0643\u0645 \u0641\u064a\u0647 \u0625\u0644\u0649 \u0627\u0644\u0646\u0645\u0627\u0630\u062c \u0648\u0623\u062f\u0648\u0627\u062a \u0627\u0644\u0645\u0631\u0627\u0642\u0628\u0629.<\/li>\n<\/ul>\n<h2>\u0631\u0648\u0627\u0628\u0637 \u0630\u0627\u062a \u0639\u0644\u0627\u0642\u0629<\/h2>\n<ul>\n<li><a href=\"https:\/\/cloud.google.com\/ai-platform\/prediction\/docs\/monitoring\" target=\"_new\" rel=\"noopener nofollow\">\u062f\u0644\u064a\u0644 \u0645\u0631\u0627\u0642\u0628\u0629 \u0627\u0644\u0646\u0645\u0627\u0630\u062c \u0645\u0646 Google<\/a><\/li>\n<li><a href=\"https:\/\/www.oreilly.com\/library\/view\/monitoring-machine-learning\/9781098115777\/\" target=\"_new\" rel=\"noopener nofollow\">\u0643\u062a\u0627\u0628 \u0627\u0644\u0645\u0631\u0627\u0642\u0628\u0629 \u0627\u0644\u0646\u0645\u0648\u0630\u062c\u064a \u0644\u0623\u0648\u0631\u0627\u064a\u0644\u064a<\/a><\/li>\n<li><a href=\"https:\/\/oneproxy.pro\/ar\/\" target=\"_new\" rel=\"noopener\">\u062d\u0644\u0648\u0644 \u0648\u0643\u064a\u0644 OneProxy<\/a><\/li>\n<\/ul>\n<p>\u064a\u0633\u062a\u0645\u0631 \u0645\u0648\u0636\u0648\u0639 \u0645\u0631\u0627\u0642\u0628\u0629 \u0627\u0644\u0646\u0645\u0627\u0630\u062c \u0641\u064a \u0627\u0644\u062a\u0637\u0648\u0631 \u0645\u0639 \u0627\u0644\u062a\u0642\u062f\u0645 \u0641\u064a \u0627\u0644\u062a\u0643\u0646\u0648\u0644\u0648\u062c\u064a\u0627 \u0648\u0627\u0644\u0641\u0647\u0645. \u064a\u0648\u0636\u062d \u0627\u0631\u062a\u0628\u0627\u0637\u0647\u0627 \u0628\u0627\u0644\u062e\u0648\u0627\u062f\u0645 \u0627\u0644\u0648\u0643\u064a\u0644\u0629\u060c \u0645\u062b\u0644 OneProxy\u060c \u0643\u064a\u0641 \u064a\u0645\u0643\u0646 \u0623\u0646 \u062a\u062a\u0645\u0627\u0634\u0649 \u062d\u0644\u0648\u0644 \u062a\u0643\u0646\u0648\u0644\u0648\u062c\u064a\u0627 \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a \u0627\u0644\u062a\u0642\u0644\u064a\u062f\u064a\u0629 \u0645\u0639 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a \u0627\u0644\u0645\u062a\u0637\u0648\u0631 \u0644\u0636\u0645\u0627\u0646 \u0627\u0644\u0643\u0641\u0627\u0621\u0629 \u0648\u0627\u0644\u0623\u0645\u0627\u0646 \u0648\u0646\u0634\u0631 \u0627\u0644\u0646\u0645\u0627\u0630\u062c \u0627\u0644\u0645\u0633\u0624\u0648\u0644\u0629.<\/p>","protected":false},"featured_media":468935,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-478047","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Model Monitoring<\/mark>","faq_items":[{"question":"What is model monitoring?","answer":"<p>Model monitoring refers to the process of continuously observing and analyzing machine learning models once they are deployed in a production environment. It ensures that the models perform as expected over time, identifying any changes or anomalies that could affect their accuracy and behavior.<\/p>"},{"question":"How did model monitoring originate?","answer":"<p>Model monitoring emerged with the rise of machine learning and artificial intelligence in real-world applications. The concept started gaining attention in the late 1990s and early 2000s, with dedicated solutions developed in the mid-2010s.<\/p>"},{"question":"What does model monitoring involve?","answer":"<p>Model monitoring involves activities such as performance monitoring, data drift detection, anomaly detection, fairness monitoring, and resource utilization tracking.<\/p>"},{"question":"How does model monitoring work internally?","answer":"<p>Model monitoring works through data collection, analysis, and alerting. It collects data on model predictions, inputs, and outputs, analyzes it to detect any issues, and alerts responsible parties if necessary.<\/p>"},{"question":"What are the key features of model monitoring?","answer":"<p>The key features of model monitoring include real-time analysis, automated workflow integration, scalability for single models or ensembles, and interpretability to understand model behavior.<\/p>"},{"question":"What types of model monitoring exist?","answer":"<p>There are several types of model monitoring, including performance monitoring, data drift monitoring, anomaly monitoring, and fairness monitoring.<\/p>"},{"question":"How can model monitoring be used in different industries?","answer":"<p>Model monitoring finds applications in various industries, including finance, healthcare, retail, and more, to ensure that ML models maintain optimal performance.<\/p>"},{"question":"What are the potential problems with model monitoring?","answer":"<p>Some potential problems include lack of transparency, complexity, and data privacy concerns.<\/p>"},{"question":"How can these problems be solved?","answer":"<p>Implementing robust monitoring practices, complying with regulations, and using interpretable models can address these issues.<\/p>"},{"question":"What technologies may shape the future of model monitoring?","answer":"<p>Emerging technologies like explainable AI (XAI), autoML, and decentralized model training are expected to influence the future of model monitoring.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/wiki\/478047","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\/478047\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/media\/468935"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/media?parent=478047"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}