{"id":5333,"date":"2024-04-04T12:26:04","date_gmt":"2024-04-04T12:26:04","guid":{"rendered":"https:\/\/radicalbit.ai\/?post_type=glossary&#038;p=5333"},"modified":"2024-04-04T12:26:18","modified_gmt":"2024-04-04T12:26:18","slug":"real-time-machine-learning","status":"publish","type":"glossary","link":"https:\/\/radicalbit.ai\/it\/resources\/glossary\/real-time-machine-learning\/","title":{"rendered":"Real Time Machine Learning"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Real-Time Machine Learning, also known as <em>Online Machine Learning<\/em>, is the process of training a Machine Learning model by running live data through it to continuously improve the model. This is in contrast to \u00abtraditional\u00bb machine learning, where one builds the model with a batch of historical data in an offline mode. More specifically, there are two main ways to train a Machine Learning model: <em>batch<\/em> (or offline) and <em>online<\/em>.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong><em>Batch (offline)<\/em><\/strong> ML: entire training data set must be made available prior to the learning task and used as a whole. The training process is often done in an offline environment due to the expensive training cost.<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><em><strong>Online ML<\/strong><\/em>: learning from a sequence of data instances one by one at each time, which arrive in a sequential order; a learner aims to learn and update the best predictor for future data at every step.<br>Models are updated instantly and efficiently according to incoming stream data and constantly learn new knowledge.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">The latter is far more efficient and scalable for large-scale machine learning tasks in real-world data analytics applications where data are not only large in size, but also arrive at a high velocity.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">See <a href=\"http:\/\/arxiv.org\/abs\/1802.02871\">Online Learning: A Comprehensive Survey<\/a>, <a href=\"http:\/\/arxiv.org\/abs\/2201.01633\">Adaptive Online Incremental Learning for Evolving Data Streams<\/a>, and <a href=\"https:\/\/huyenchip.com\/2022\/01\/02\/real-time-machine-learning-challenges-and-solutions.html\">Real-time machine learning: challenges and solutions<\/a> for further details.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Real-Time Machine Learning, also known as Online Machine Learning, is the process of training a Machine Learning model by running live data through it to&hellip;<\/p>\n","protected":false},"author":1,"featured_media":4814,"menu_order":0,"template":"","meta":{"footnotes":""},"class_list":["post-5333","glossary","type-glossary","status-publish","has-post-thumbnail","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Real Time Machine Learning | Radicalbit<\/title>\n<meta name=\"description\" content=\"Real Time Machine Learning is the process of training a Machine Learning model by running live data to continuously improve the model\" 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