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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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@finsignal · Post #3288 · 06/20/2024, 07:05 AM

📋Cryptoquant: We are entering the early altcoin season. $ETH #RV is growing faster than #BTC MVRV, which indicates that the #ETH market is warming up relative to its fundamentals on the chain. 🤓 Given the current situation with ETFs, this may be the season for ETH only. Historically, when ETH grows, other altos tend to follow it.

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