1. Machine Learning Specialization Break into AI with this... 3-course program by Andrew Ng. What you’ll learn: → Build machine learning models → Train neural networks → Deep reinforcement learning → Unsupervised learning techniques 🔗show more

1. Machine Learning Specialization. Break Into AI with this... 3-course program by Andrew Ng. What You’ll learn: → Build ML models → Train neural networks → Deep reinforcement learning → Unsupervised learning techniques 🔗show more

#ScikitLearnMooc, a free Machine Learning course taught by scikit-learn... core developers and #opensource! Accessible to anybody with basic #Python programming skills. Course starts on Nov. 8. Register now onshow more

Machine Learning Crash Course by Google - 25 Lessons... - 30+ Exercises - Real-world applications - Interactive Visualization - Taught by Google Research Team All of this is 100% FREE Course link 🧵👇show more

Unlock the power of Machine Learning in Sports Sciences... with our free articles! Learn about the latest trends and techniques in this exciting field. #AI #Data #Science Routledge Sport, Leisure, and Tourism Taylor & Francis Research Insights Taylor&Francis News An overview🧵:show more

many parts of Hugging Face Hub is actually powered... by open machine learning models 🥹 translation feature is one of them, it uses a very tiny (600M) multilingual translation model by AI at Meta 💗show more

AI-powered laser with sub-millimeter precision is revolutionizing weed control... in agriculture. Equipped with machine learning algorithms, this technology can distinguish between crops and weeds in real-time.show more

So I had a free time and I decided... to train a custom segmentation machine learning model on road lane. I combined it with Snap AR sky segmentation. Let me know what you think guys. #AugmentedReality #ar #aishow more

We spoke with Martin Singh-Blom, Machine Learning Research Lead... at Embark Studios, to learn all about the robotics research and AI programming that powers the enemies in ARC Raiders. Check it out:show more

Haven't been to a conference in a while, really... excited to be at #NeurIPS2024! I'll be helping present 4 of our group's recent papers: 1. Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL 2. Distributional Successor Features Enable Zero-Shot Policy Optimization 3. Learning to Cooperate with Humans using Generative Agents 4. Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning Find more details on each paper and where to find us in this thread (1/6)show more

7. Learning new skills or mastering a new subject... Mega prompt: You are an expert educator specializing in [SUBJECT AREA]. Create a personalized learning plan for mastering [SKILL] in [TIMEFRAME]. My current level: [BEGINNER/INTERMEDIATE/ADVANCED] My goal: [WHAT I WANT TO ACHIEVE] Time available: [HOURS PER WEEK] Learning style: [HANDS-ON/READING/VIDEO/MIXED] Provide: 1. Learning roadmap with clear milestones 2. Week-by-week curriculum 3. Resources (free and paid) with links 4. Practice projects that build real skills 5. Common pitfalls and how to avoid them 6. Ways to validate learning (tests, projects, certifications) 7. 5 specific exercises I can do today Make it practical. I want to DO things, not just consume content. Context: [WHY YOU'RE LEARNING THIS, YOUR BACKGROUND]show more

Fueled by friendly competition, students in MechE’s popular course... 2.155/156 apply AI theory to real-world engineering design challenges, from bike frames to city grids. The class has “opened the curtains” on machine learning, Ilan Moyer says.show more

2025 was a landmark year for local machine learning.... We're looking back at how Transformers.js and WebGPU enabled state-of-the-art models right in the browser. See how to build the future of the web with @HuggingFace's Xenova →show more

Co-creating Web3 Education isn’t just an idea—it’s already in... motion. With Hooked Coursera Hub³, we’re transforming real collaborations with Hooked Alumni and top Web3 projects into tangible learning outcomes: 🤝 74+ leading ecosystems and project partners onboard 🏅 12+ cutting-edge Web3 domains covered 💰 Generous learning rewards, powered by $HOOK 👩‍💻 Diverse, AI-personalized learning paths tailored to you All achievements—verifiable and open for exploration. 🔗show more

Congratulations to iAgent, the February Altura Grant Fund winner!... 🎉 With iAgent Protocol's Visual Learning Model, players transform into innovators, using decentralized computing to train AI agents directly through in-game video content. 🔗show more

Hi dear Higgsfield AI 🧩, happy to collaborate. My... audience will love learning that you’re a scam machine with products that never work as advertised, powered by rage bait marketing. Always a pleasure. Send the $100show more

THIS GUY NAVIGATES HIS MIND PALACE WITH HAND GESTURES... AND IT LOOKS INSANE deep learning, machine learning, anthropic, openai all floating in 3d space and he just waves his hand to move through the graph this is what karpathy was describing when he said knowledge should compound and connect instead of sitting in flat markdown files your second brain should feel like a place you can walk through not a search bar you type intoshow more

Current Vision-Language-Action (VLA) paradigms in autonomous driving primarily rely... on Imitation Learning (IL), which introduces inherent challenges such as distribution shift and causal confusion. Online Reinforcement Learning offers a promising pathway to address these issues through trial-and-error learning. However, applying online reinforcement learning to VLA models in autonomous driving is hindered by inefficient exploration in continuous action spaces. MindDrive, a VLA framework comprising a large language model (LLM) with two distinct sets of LoRA parameters. The one LLM serves as a Decision Expert for scenario reasoning and driving decision-making, while the other acts as an Action Expert that dynamically maps linguistic decisions into feasible trajectories. Paper Title: MindDrive: A Vision-Language-Action Model for Autonomous Driving via Project: Link:show more

Always loved cephalopods (& bulldogs)… this Starry Night Octopus... is growing & learning fast. Next steps: 1) train him to use an iPad, 2) use AI to translate his camouflage patterns into human speech.show more