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Holy shit… someone just made DSA finally click. Not static notes Not boring pseudocode Not guessing what happens in memory Real data structures — animating step-by-step — visually. It’s called Data Structure Visualizations and it lets you watch algorithms run in real time. Here’s why this is different: Instead...

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Suryansh Tiwari

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14,425 次观看 • 2 个月前 •via X (Twitter)

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Holy shit… someone just made machine learning click. Not static diagrams. Not math-heavy PDFs. Not black-box training. Real algorithms — training step-by-step — visually. It’s called Machine Learning Visualized and it lets you watch models learn in real time. Here’s why this is different: Instead of dumping theory first, it shows optimization happening live: • gradients moving • weights updating • decision boundaries shifting • loss decreasing • models converging You literally see learning happen. Everything is built from first principles: • Gradient Descent • Logistic Regression • Perceptron • PCA • K-Means • Neural Networks • Backpropagation No magic. Just math → code → visualization. Each chapter is a Jupyter notebook that derives the math then implements it then animates training. So you can watch: • neural nets shape decision surfaces • PCA rotate feature space • K-means clusters form live • gradient descent find minima • sigmoid reshape boundaries • backprop update weights step-by-step This solves a huge problem: Most ML resources teach: math → code → ??? → trained model This shows: math → code → learning process → result Which means you finally understand: • why gradients matter • how weights evolve • what loss landscapes look like • how convergence actually happens • why deep nets learn non-linear functions Even better: You can open any notebook modify parameters and watch behavior change instantly. Learning ML becomes interactive. Not passive. Not abstract. Not confusing. Just… visible. Perfect for: • beginners learning ML • devs moving into AI • interview prep • teaching concepts • understanding backprop • visual learners • building intuition This is the kind of resource that makes neural networks finally “click”. Link: We’re moving from: reading about ML → watching ML learn That’s a big shift. Because once you can see training, you stop memorizing… and start understanding. AI education just got visual.
1:08

Holy shit… someone just made machine learning click. Not static diagrams. Not math-heavy PDFs. Not black-box training. Real algorithms — training step-by-step — visually. It’s called Machine Learning Visualized and it lets you watch models learn in real time. Here’s why this is different: Instead of dumping theory first, it shows optimization happening live: • gradients moving • weights updating • decision boundaries shifting • loss decreasing • models converging You literally see learning happen. Everything is built from first principles: • Gradient Descent • Logistic Regression • Perceptron • PCA • K-Means • Neural Networks • Backpropagation No magic. Just math → code → visualization. Each chapter is a Jupyter notebook that derives the math then implements it then animates training. So you can watch: • neural nets shape decision surfaces • PCA rotate feature space • K-means clusters form live • gradient descent find minima • sigmoid reshape boundaries • backprop update weights step-by-step This solves a huge problem: Most ML resources teach: math → code → ??? → trained model This shows: math → code → learning process → result Which means you finally understand: • why gradients matter • how weights evolve • what loss landscapes look like • how convergence actually happens • why deep nets learn non-linear functions Even better: You can open any notebook modify parameters and watch behavior change instantly. Learning ML becomes interactive. Not passive. Not abstract. Not confusing. Just… visible. Perfect for: • beginners learning ML • devs moving into AI • interview prep • teaching concepts • understanding backprop • visual learners • building intuition This is the kind of resource that makes neural networks finally “click”. Link: We’re moving from: reading about ML → watching ML learn That’s a big shift. Because once you can see training, you stop memorizing… and start understanding. AI education just got visual.

Suryansh Tiwari

132,124 次观看 • 2 个月前

Staring at DSA problems and still not getting it..? lets you watch the solution happen step by step, index by index no more guessing... you literally see it
1:28

Staring at DSA problems and still not getting it..? lets you watch the solution happen step by step, index by index no more guessing... you literally see it

Vaishnavi

25,164 次观看 • 2 个月前

25 algorithms every programmer should know: Let's start with my top favorite 10. If nothing else, you should read about these algorithms and have a good idea of how they work: 1. Linear search to find an element in a list 2. Binary search to find an element on a sorted list 3. Bubble sort to sort a list 4. Merge sort will also sort lists 5. Quicksort to sort the list and do it fast 6. Dijkstra to find the shortest path in a graph 7. Breadth-first Search (BFS) for trees or graphs 8. Depth-first search (DFS) for trees or graphs 9. Huffman for doing data compression 10. Anything related to dynamic programming Learning about algorithms is like getting tattoos: you never have enough. Here are another 5 algorithms that will help you go beyond the basics: 11. Kruskal for the finding minimum spanning tree 12. Floyd Warshall, shortest paths in a graph 13. Union Find to detect cycles in a graph 14. Bellman-Ford, shortest path in a graph 15. Lee for finding the shortest path in a maze If you are serious about this topic, I recommend learning about algorithms' space and time complexity. People usually refer to this topic as "Big O" notation. You should build a good intuition about the performance of different algorithms and learn how to evaluate them. Machine Learning will rule the next 50 years, so the next 10 algorithms you can't ignore are the following: 16. Linear Regression 17. Logistic Regression 18. Decision Trees 19. Bayes' theorem 20. k-Nearest Neighbors (kNN) 21. Every algorithm related to neural networks 22. K-means 23. Random forest 24. Gradient boosting algorithms 25. Any dimensionality reduction algorithm (PCA, for instance) There are many more mind-blowing algorithms! I haven't found a better way to understand how computers work from a first-principles point of view than reading about different algorithms. Take a look at the attached video.
2:53

25 algorithms every programmer should know: Let's start with my top favorite 10. If nothing else, you should read about these algorithms and have a good idea of how they work: 1. Linear search to find an element in a list 2. Binary search to find an element on a sorted list 3. Bubble sort to sort a list 4. Merge sort will also sort lists 5. Quicksort to sort the list and do it fast 6. Dijkstra to find the shortest path in a graph 7. Breadth-first Search (BFS) for trees or graphs 8. Depth-first search (DFS) for trees or graphs 9. Huffman for doing data compression 10. Anything related to dynamic programming Learning about algorithms is like getting tattoos: you never have enough. Here are another 5 algorithms that will help you go beyond the basics: 11. Kruskal for the finding minimum spanning tree 12. Floyd Warshall, shortest paths in a graph 13. Union Find to detect cycles in a graph 14. Bellman-Ford, shortest path in a graph 15. Lee for finding the shortest path in a maze If you are serious about this topic, I recommend learning about algorithms' space and time complexity. People usually refer to this topic as "Big O" notation. You should build a good intuition about the performance of different algorithms and learn how to evaluate them. Machine Learning will rule the next 50 years, so the next 10 algorithms you can't ignore are the following: 16. Linear Regression 17. Logistic Regression 18. Decision Trees 19. Bayes' theorem 20. k-Nearest Neighbors (kNN) 21. Every algorithm related to neural networks 22. K-means 23. Random forest 24. Gradient boosting algorithms 25. Any dimensionality reduction algorithm (PCA, for instance) There are many more mind-blowing algorithms! I haven't found a better way to understand how computers work from a first-principles point of view than reading about different algorithms. Take a look at the attached video.

Santiago

273,905 次观看 • 2 年前

MIT 6.006 Introduction to Algorithms. nodes, pointers, and parent relationships in binary trees.
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MIT 6.006 Introduction to Algorithms. nodes, pointers, and parent relationships in binary trees.

tetsuo

49,254 次观看 • 1 个月前

🚨 BRYAN JOHNSON: “We already live in a world run by algorithms. When you use Netflix, you’re not picking your content, the algorithm is for you. We don’t have free will. We’re already immeshed in this system of algorithms and we can’t see it. The irony is that we’re already this dystopia that we think is happening.”
1:30

🚨 BRYAN JOHNSON: “We already live in a world run by algorithms. When you use Netflix, you’re not picking your content, the algorithm is for you. We don’t have free will. We’re already immeshed in this system of algorithms and we can’t see it. The irony is that we’re already this dystopia that we think is happening.”

Autism Capital 🧩

186,577 次观看 • 1 年前

Gemini 2.0 real-time teaching me how to solve geometry problems step by step and damn I love it 🔥🔥 How do you think this will change the future of education?
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Gemini 2.0 real-time teaching me how to solve geometry problems step by step and damn I love it 🔥🔥 How do you think this will change the future of education?

AshutoshShrivastava

121,064 次观看 • 1 年前

This charlatan who’s never step foot in Iraq, he uploads a highway, where they’ve planted a few trees in the mid-section - not the neighbourhoods where people live. Here’s footage just behind the tree planted highway and of how run down Fallujah is.
1:59

This charlatan who’s never step foot in Iraq, he uploads a highway, where they’ve planted a few trees in the mid-section - not the neighbourhoods where people live. Here’s footage just behind the tree planted highway and of how run down Fallujah is.

Disputing Sunnah

15,312 次观看 • 7 个月前

Infrastructure defines what scales. Electricity enabled industry. The internet enabled software. Now AI is moving toward systems that run continuously, across data, execution, and feedback. 💡At OptimAI, we’re building that infrastructure. A decentralized search layer for real-time data. A network of nodes powering continuous retrieval and validation. Agents that execute tasks directly on your device. This is not theoretical - we’re already seeing it in production, with millions of nodes and growing usage across the network. We’re putting together a short documentary to show how this shift is happening, and where it leads next. If you’re building, exploring, or just getting started - this is the layer to pay attention to. Welcome to OptimAI.
2:02

Infrastructure defines what scales. Electricity enabled industry. The internet enabled software. Now AI is moving toward systems that run continuously, across data, execution, and feedback. 💡At OptimAI, we’re building that infrastructure. A decentralized search layer for real-time data. A network of nodes powering continuous retrieval and validation. Agents that execute tasks directly on your device. This is not theoretical - we’re already seeing it in production, with millions of nodes and growing usage across the network. We’re putting together a short documentary to show how this shift is happening, and where it leads next. If you’re building, exploring, or just getting started - this is the layer to pay attention to. Welcome to OptimAI.

OptimAI Network

17,392 次观看 • 2 个月前

Georgia Tech built a free tool that animates every data structure and algorithm in real time this is what DSA study looks like when it actually makes sense
1:13

Georgia Tech built a free tool that animates every data structure and algorithm in real time this is what DSA study looks like when it actually makes sense

Vaishnavi

48,890 次观看 • 2 个月前

🚨Breaking: Google just dropped a new Guided Learning feature in Gemini. Perfect for students instead of just giving answers, it actually teaches. You can get images, diagrams, videos, and quizzes to learn step by step and see how much you’ve understood.
0:36

🚨Breaking: Google just dropped a new Guided Learning feature in Gemini. Perfect for students instead of just giving answers, it actually teaches. You can get images, diagrams, videos, and quizzes to learn step by step and see how much you’ve understood.

AshutoshShrivastava

79,363 次观看 • 10 个月前

🚀 Want to join the Unich IDO but not sure how? No worries - we made it super simple for you! 🎥 Watch this quick step-by-step guide to see exactly how to join. It’s safe, easy, and you’ll be ready in minutes. 🔥 Let’s make it happen! Join the Unich IDO here:
1:23

🚀 Want to join the Unich IDO but not sure how? No worries - we made it super simple for you! 🎥 Watch this quick step-by-step guide to see exactly how to join. It’s safe, easy, and you’ll be ready in minutes. 🔥 Let’s make it happen! Join the Unich IDO here:

Unich.com 🆓

42,974 次观看 • 10 个月前

• watch algorithms train step-by-step • see gradients, weights, decision boundaries evolve • math + visuals + code in one place
1:08

• watch algorithms train step-by-step • see gradients, weights, decision boundaries evolve • math + visuals + code in one place

Vaishnavi

39,625 次观看 • 2 个月前

Nothing is real anymore. These are not real people. Here's how I created this AI memory reel... Step by step + PROMPT
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Nothing is real anymore. These are not real people. Here's how I created this AI memory reel... Step by step + PROMPT

Min Choi

172,200 次观看 • 1 个月前

omg, this new video model is completely open source! LTX-2.3 just dropped... and you can run it locally. Absolutely wild. Let me show you how I made this video step by step 👇
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omg, this new video model is completely open source! LTX-2.3 just dropped... and you can run it locally. Absolutely wild. Let me show you how I made this video step by step 👇

TechHalla

68,018 次观看 • 3 个月前

This is genuinely impressive. Gauth just dropped Atlas and it might be the end of textbooks. Type any topic like "Silk Road," "how a camera works," "fall of Constantinople" and it builds you a hand-drawn, interactive visual world you can walk through. No more reading walls of text. You explore knowledge like a map. Here's how to use it (step by step): ↓
0:36

This is genuinely impressive. Gauth just dropped Atlas and it might be the end of textbooks. Type any topic like "Silk Road," "how a camera works," "fall of Constantinople" and it builds you a hand-drawn, interactive visual world you can walk through. No more reading walls of text. You explore knowledge like a map. Here's how to use it (step by step): ↓

Hasan Toor

230,191 次观看 • 1 个月前

Pep Guardiola makes it clear: mistakes are part of improvement. You can dribble ten times and lose the ball ten times — and still improve from it. But if you don’t try? There’s nothing to improve. Not trying is the real mistake. Fear stops growth. Action creates learning. Progress comes from courage, not perfection. That’s how teams get better — step by step, stage by stage.
0:45

Pep Guardiola makes it clear: mistakes are part of improvement. You can dribble ten times and lose the ball ten times — and still improve from it. But if you don’t try? There’s nothing to improve. Not trying is the real mistake. Fear stops growth. Action creates learning. Progress comes from courage, not perfection. That’s how teams get better — step by step, stage by stage.

⚽️Pedro Mendonça🧠

66,289 次观看 • 5 个月前

Analyst agent is now available in Microsoft 365 Copilot! It helps you think like a data scientist and reasons step by step—so you can go from detailed spreadsheets to digestible graphs, charts, & visualizations. Ready to try it out?
0:55

Analyst agent is now available in Microsoft 365 Copilot! It helps you think like a data scientist and reasons step by step—so you can go from detailed spreadsheets to digestible graphs, charts, & visualizations. Ready to try it out?

Microsoft 365

14,138 次观看 • 1 年前

As ChatGPT becomes a go-to tool for students, we’re committed to ensuring it fosters deeper understanding and learning. Introducing study mode in ChatGPT — a learning experience that helps you work through problems step-by-step instead of just getting an answer.
0:27

As ChatGPT becomes a go-to tool for students, we’re committed to ensuring it fosters deeper understanding and learning. Introducing study mode in ChatGPT — a learning experience that helps you work through problems step-by-step instead of just getting an answer.

OpenAI

2,862,408 次观看 • 10 个月前

As promised, here’s the Polymarket Visual Trades Generator. How to run: • Copy the code from this link(I suggest checking the code before, never trust blindly anyone): • Open VSCode, create a new script, paste the code and run it. How it works: • Step 1: Drop the market name. • Step 2: Drop the trader address. The script fetches every trade automatically, sorts them, and generates full stats + a clean visual timeline for each market. What this unlocks: • A clear view of your execution patterns • Whether you buy dips, chase highs, or average in • Real exposure, sizing, and risk across the window • How your YES/NO stacking evolves trade by trade • The ability to reverse-engineer profitable traders • A better understanding of why your final PnL happened
1:05

As promised, here’s the Polymarket Visual Trades Generator. How to run: • Copy the code from this link(I suggest checking the code before, never trust blindly anyone): • Open VSCode, create a new script, paste the code and run it. How it works: • Step 1: Drop the market name. • Step 2: Drop the trader address. The script fetches every trade automatically, sorts them, and generates full stats + a clean visual timeline for each market. What this unlocks: • A clear view of your execution patterns • Whether you buy dips, chase highs, or average in • Real exposure, sizing, and risk across the window • How your YES/NO stacking evolves trade by trade • The ability to reverse-engineer profitable traders • A better understanding of why your final PnL happened

Jayden ⛩️

137,210 次观看 • 6 个月前

MUST WATCH ! Clear Thinker breaks down today’s tragic events step by step !: “This wasn't murder. Renee's death in Minneapolis is tragic. But see it for what it is, not what you want it to be. “
3:06

MUST WATCH ! Clear Thinker breaks down today’s tragic events step by step !: “This wasn't murder. Renee's death in Minneapolis is tragic. But see it for what it is, not what you want it to be. “

VeBee🇺🇸✝️

25,528 次观看 • 5 个月前