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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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AI & Law

@ai_and_law · Post #132 · 10/06/2023, 07:04 AM

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Navigating AI Worries: Insights from the FTC Hello, dear subsribers! The U.S. Federal Trade Commission's Office of Technology has addressed consumers' growing concerns about artificial intelligence in a recent blog post. These concerns encompass the entire AI lifecycle, from its construction to its real-world use by third parties. Key issues highlighted include the extensive data collection necessary for training AI models and various aspects of users' interactions with AI systems. #AIandLaw#AIConcerns#FTC#ArtificialIntelligence

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