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Want to learn probability & statistics visually? Check out Seeing Theory an interactive, browser‑based guide made to turn abstract concepts into intuitive visuals Explore basics like chance events, probability distributions, Bayesian inference & regression with interactive visualizations perfect for students, self‑learners, and data enthusiasts!

35,353 次观看 • 7 个月前 •via X (Twitter)

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50 NEW internet rabbit holes you can spend hours exploring👇 No repeats. Just websites worth getting lost in. 🌐 1. — Spin the globe and listen to radio stations around the world 2. — Watch Earth's winds, oceans, and atmosphere move 3. — Explore weather patterns across the planet 4. — See fishing activity across the world's oceans 5. — Explore volcanoes and their history 6. — Explore satellite imagery of Earth 7. — Explore a 3D virtual globe 8. — Explore climate science and visualizations 9. — Dive into the science of our oceans 10. — Explore the weirdness of the internet 11. — Test your geography skills with location guessing games 12. — Travel the world without leaving your chair 13. — Discover locations using three-word addresses 14. — Explore street-level imagery from around the world 15. — Browse crowdsourced street imagery 16. — Explore interactive maps and geographic stories 17. — Explore historical geography through maps 18. — Discover old maps from around the world 19. — Explore geographic coordinates and locations 20. — Discover places and details on a world map 21. — Explore planets, asteroids, and spacecraft in 3D 22. — Discover worlds beyond our solar system 23. — Explore solar activity and space weather 24. — Track satellites and celestial objects 25. — Explore the night sky and astronomy events 26. — Explore a virtual universe 27. — Dive into the planets and moons of our solar system 28. — Experiment with interactive science simulations 29. — Explore interactive science and math explainers 30. — Explore physics concepts through linked explanations 31. — Ask questions and explore computational knowledge 32. — Learn math and science through interactive problems 33. — Explore interactive explanations of complex ideas 34. — Discover interactive science and math experiments 35. — Explore the strangest corners of science 36. — Discover scientific papers and research 37. — Search open-access academic research 38. — Dive into millions of academic articles 39. — Explore scientific preprints 40. — Fall down the mathematics rabbit hole 41. — Explore fascinating historical objects and stories 42. — Discover rare books and historical collections 43. — Explore photos, maps, and archives 44. — Browse the Louvre's art collection 45. — Explore artifacts from human history 46. — Discover objects from museums across Scandinavia 47. — Explore the world's music database 48. — Discover movies and endless film rabbit holes 49. — Explore sounds for focus, relaxation, and sleep 50. — Click a button and discover a random website Save this. Your next internet rabbit hole is waiting. 🔖 Follow Kaizen 黒 for more useful websites, AI tools & tech resources.

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New Short Course: Building AI Browser Agents! Learn how to build AI agents that interact and take actions on websites in this course, created in partnership with and taught by and @namangarg0, Co-founders of AGI Inc. AI browser agents can log into websites, fill out forms, click through web pages, or even place orders online for you. They use both visual information, like screenshots, and structural data, like the HTML or Document Object Model (DOM) of a web page, to reason and take action. With the complexity of webpages and multiple possible actions at each step, it can be challenging for an AI browser agent to complete an assigned task. Because these agents run long action sequences, a single error—like clicking the wrong button or misreading a field—can lead to unexpected outcomes or errors that compound over time. In this course, you'll understand how autonomous web agents work, their current limitations, and how AgentQ enables them to improve through self-correction. In detail, you'll: - Learn what web agents are, how they automate tasks online, their architecture, key components, limitations, and an overview of their decision-making strategies. - Build a web agent that can scrape website and return course recommendations in a structured output format. - Build an autonomous web agent that can execute multiple tasks, such as finding and summarizing webpages, filling out a form, and signing up for a newsletter. - Explore AgentQ, a framework that enables agents to self-correct by combining Monte Carlo Tree Search (MCTS), a self-critique mechanism for continuous improvement, and Direct Preference Optimization (DPO). - Deep dive into MCTS, learn how it finds an effective path, illustrated by an example of Gridworld animation, and use AgentQ to complete web tasks. - Understand AI agents' current state and future directions—including key factors shaping their evolution, such as hardware, algorithm innovation, and data availability. By the end of this course, you will have hands-on experience building browser agents and a deeper understanding of how to make them more robust and reliable. Please sign up here:

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32,296 次观看 • 8 个月前

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