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Source channel @githubtrending · Post #15239 · Oct 21

#python#artificial_intelligence#cloud_ml#computer_systems#courseware#deep_learning#edge_machine_learning#embedded_ml#machine_learning#machine_learning_systems#mobile_ml#textbook#tinyml You can learn how to build real-world AI systems from start to finish with an open-source textbook originally from Harvard University. It teaches you not just how to train AI models but how to design scalable systems, manage data pipelines, deploy models in production, monitor them continuously, and optimize for devices like phones or IoT gadgets. This helps you become an engineer who can create efficient, reliable, and sustainable AI systems that work well in practice. The book offers hands-on labs, community support, and free online access, making it easier to gain practical skills in machine learning systems engineering. https://github.com/harvard-edge/cs249r_book

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@dopingram · Post #3150 · 07/24/2024, 08:38 AM

Робот-МАГ, digital art, Doping Pong, 2009 Персонаж, придуманный арт-группой Doping Pong для фирменного стиля Международного мультимедиа фестиваля MIGZ. Россия, Москва, кинотеатр 35MM, июнь 2009 года. Первые карандашные эскизы этого персонажа появились в 2001 году и ждали своего часа. #dopingpong#robot#mag#migz#multimedia