Artificial Intelligence

https://www.instagram.com/reel/DB_VdX9ooXO/?igsh=MWtxd2R1dncxZWl6ag== This is wild😲 They’re even carrying babies now!🤖 👶 In this mind-blowing future, humanoid robots are taking on roles we never thought possible… nurturing life itself! 🍼✨ From cleaning floors to cradling life, the world is transforming at an incredible pace! 🌐⚡️ Are we prepared for a reality where machines become family? 🧐💭 Is this an exciting leap forward or a step too far? 😮👇 What do you think — are you on board with this future, or does it make you wonder about the boundaries of technology? 🤖 👶 Are you for it, against it, or maybe a little bit of both? 🤔💬 @Artificial_intelligence_ai Telegram: https://t.me/Artificial_intelligence_AI

🚀 If you’re a Data Scientist, you should learn how to deploy models in production. 📚 Here are 3 books, 3 courses, 3 blogs, and 3 podcasts to level up your MLOps skills: 📖 Books: 📕 Designing Machine Learning Systems by Chip Huyen with actual case studies of ML systems in enterprise: https://www.oreilly.com/library/view/designing-machine-learning/9781098107956/ 📗 Practical MLOps: Operationalizing Machine Learning Models by Noah Gift & Alfredo Deza: https://www.amazon.com/Practical-MLOps-Operationalizing-Machine-Learning/dp/1098103017 📘 Machine Learning Engineering in Action by Benjamin Wilson: https://www.oreilly.com/library/view/machine-learning-engineering/9781617298714/ 🎓 Courses: 💻 Deployment of Machine Learning Models by Soledad Galli and Chris Samiullah: Learn to deploy with FastAPI, containers, and AWS: https://www.udemy.com/course/deployment-of-machine-learning-models/ 🧠 Machine Learning Specialization by Noah Gift and Alfredo Deza: A comprehensive MLOps course: https://www.coursera.org/specializations/mlops-machine-learning-duke 🎯 MLOps Specialization by Andrew Ng, Laurence Moroney, Robert Crowe, and Cristian Bartolomé: https://www.deeplearning.ai/courses/machine-learning-in-production/ 📝 Blogs: 🚗 Uber Engineering Blog: https://www.uber.com/en-US/blog/engineering/ 🏠 Airbnb Engineering and Data Science Blog: https://airbnb.io/ 💼 Nubank Engineering Blog: https://building.nubank.com.br/ 🎙 Podcasts: 🎧 MLOps Community Podcast: Learn more about MLOps: https://podcast.mlops.community/ 🎙 AI Stories Podcast Episodes: How to get into MLOps with Demetrios Brinkmann, CEO of the MLOps Community: https://www.youtube.com/watch?v=nrmOr98uR1M MLOps and LLMOps with Noah Gift, MLOps Leader and Author: https://www.youtube.com/watch?v=jZGtmCrgTxk Model deployment and code best practices with Maria Vechtomova, MLOps Tech Lead: https://www.youtube.com/watch?v=Nnq_2uHBUSo (🎉 Credits: Neil Leiser) Give some likes ♥️ or ⭐️ bruh!

UC Berkeley's "Machine Learning" lecture notes 📓 Book @Artificial_intelligence_ai Telegram: https://t.me/Artificial_intelligence_AI

This is wild😲 Famous paintings reborn The new Minimax img2vid brings more richness to old paintings. Music : Vivaldi - Four Seasons 4 Winter mvt 1 Allegro non molto Paintings from Wikipedia @Artificial_intelligence_ai Telegram: https://t.me/Artificial_intelligence_AI

Tesla’s “We, Robot” event offered a glimpse into its autonomous tech ambitions, displaying the upgraded Optimus robot, a Robovan prototype, and the radical Cybercab—an autonomous vehicle without steering wheel or pedals. This event marks a major moment for Musk, who has been promising fully autonomous Teslas for years and is finally delivering. This focus shows how the larger industry is pushing to bring robotics closer to everyday life, signaling the tech world’s enduring pursuit of true autonomy. @Artificial_intelligence_ai To learn AI from basics: YouTube: https://www.youtube.com/c/asifimmanad Telegram: https://t.me/Artificial_intelligence_AI

https://www.instagram.com/reel/DBBpo1oI3nJ/?igsh=MWhyYWpuemNwaGJ1bA== AI Tom Cruise in a galaxy far, far away! 🤯 Created using the Minimax AI video model by Hailuo AI. It’s crazy how far AI tools have come, making scenes like this possible. Credits: Stuart Lynch. #ai #chatgpt #aitools #openai #aitips #machinelearning

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Day 13 of 100: Numpy for Data Science Watch this video to know more Do Like, Share and Subscribe to our YouTube Channel for better reach and help us grow https://youtube.com/shorts/IzqysT--ASE?si=GF7558H74hYorC5F

Day 12 of 100: Data Manipulation with Pandas Watch this video to know more Do Like, Share and Subscribe to our YouTube Channel for better reach and help us grow https://youtube.com/shorts/AbpqpGe0v-Y?si=exk-_amykn6Mb9dw

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Day 11 of 100: Basics of Python, Syntax and Data Types! Watch this video to know more Do Like, Share and Subscribe to our YouTube Channel for better reach and help us grow https://youtube.com/shorts/bG-DB3hlYvg?si=8NwBHgVlORGDECwJ

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Day 10 of 100: Daily Tasks of a Data Scientist! Watch this video to know more Do Like, Share and Subscribe to our YouTube Channel for better reach and help us grow https://youtube.com/shorts/2gE05y98f94?si=YqLLDLOjtpVgWGjg

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@Artificial_intelligence_ai Multimodal contrastive learning for spatial gene expression prediction using histology images 🖥 Github: https://github.com/modelscope/data-juicer 📕 Paper: https://arxiv.org/abs/2407.08583v1 🚀 Dataset: https://paperswithcode.com/dataset/coco To learn AI from basics: YouTube: https://www.youtube.com/c/asifimmanad Telegram: https://t.me/Artificial_intelligence_AI