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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!

Vaishnavi

20,777 subscribers

35,353 次观看 • 5 个月前 •via X (Twitter)

教育科学技术

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Interactive learning proves to be the best way to learn! Seeing Theory by Brown University is a comprehensive guide to interactively learn Probability & Statistics! Check this out👇

Interactive learning proves to be the best way to learn! Seeing Theory by Brown University is a comprehensive guide to interactively learn Probability & Statistics! Check this out👇

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Statistics is fundamentally important to excel as a Data Scientist! Interactive learning proves to be the best way to master it! "Seeing Theory" is a comprehensive guide to interactively learn Probability & Statistics! It's FREE, check this👇 🔗

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“This took less than an hour." Interactive 3D is becoming essential across industries - but for a lot of teams, it’s still out of reach. That’s why we built Unity Studio - an intuitive, web-based, no-code editor that helps teams across industries, from manufacturing to retail, turn existing 3D assets into interactive experiences, straight from the browser. Check out what it looks like to go from a static 3D file to a fully interactive demo in under an hour. 🔗 Try it out yourself with a free 30 day Unity Studio trial:

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Santiago

44,783 次观看 • 1 年前

Just sat down with Yev Marusenko, Yev Marusenko, from Sizzle AI—an edtech app with millions of users that’s rethinking how our kids (and we) learn in the AI era. 📱 Sizzle isn’t just “ChatGPT for homework.” It builds entire courses from your prompts—bite-sized, mobile, interactive. 💡 Why it matters: Instead of cheating with AI, this app leans into learning science, adaptive quizzes, and self-testing, which boosts memory and real understanding. 🧪 They’re testing models fast (mostly using Gemini at scale), but the real differentiation is in the pedagogy—less gamification dopamine, more brain growth. 🎯 Parents: It’s great for summer learning, SAT prep, or homeschool reinforcement. You type “Bio 101,” it makes the course. 📉 $9.99/month, geo-priced cheaper globally. 🔗 Check it out: Also love how they’re thinking about the tension between virality vs. value. As we all learn how to learn again, tools like this could be foundational.

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Robert Scoble

25,612 次观看 • 1 年前

Introducing the Generative UI Research Canvas ✨ Every agent needs a powerful UI Combine LangChain, Tavily, Tako and CopilotKit🪁 and you get a LangChain-based research agent with a Generative UI-driven frontend. When agents can explore the underlying data, research becomes more trustworthy and useful. How does this work? - LangChain manages the agent workflow and tool orchestration. - Tako converts retrieved data into structured, visual components - Tavily provides agentic search - CopilotKit renders those components in the UI and keeps the user in the loop while the agent is working So instead of a boring and static report, the output is an interactive research canvas that evolves as the agent runs. 2026 is the year where users want to see the output, not read it... Generative UI makes this possible for agentic applications. Tutorial: Open-Source Repo: Docs:

Introducing the Generative UI Research Canvas ✨ Every agent needs a powerful UI Combine LangChain, Tavily, Tako and CopilotKit🪁 and you get a LangChain-based research agent with a Generative UI-driven frontend. When agents can explore the underlying data, research becomes more trustworthy and useful. How does this work? - LangChain manages the agent workflow and tool orchestration. - Tako converts retrieved data into structured, visual components - Tavily provides agentic search - CopilotKit renders those components in the UI and keeps the user in the loop while the agent is working So instead of a boring and static report, the output is an interactive research canvas that evolves as the agent runs. 2026 is the year where users want to see the output, not read it... Generative UI makes this possible for agentic applications. Tutorial: Open-Source Repo: Docs:

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Lacey

42,129 次观看 • 6 个月前