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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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Easy busy | with Tony Schneider 🇬🇧

@easy_busy_eng · Post #388 · 12/05/2025, 04:41 PM

2013 GPU mining = turning $3 of electricity into $600+ per day” Back in 2013 a simple GPU rig could mine: 0.5–1 BTC per day 0.5 BTC today = ~$18,500 1 BTC today = ~$37,000 Mining was one of the highest ROI opportunities ever seen in the digital age. People who mined early didn’t just make money — They secured freedom long before the rest of the world woke up. #BitcoinMining#BTC#CryptoHODL#MiningHistory