Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

Graphing equations made simple 📈 If turning an equation into a graph feels confusing, this quick method will help you understand it step by step. Save this for your next math homework! #math #algebra #graphing #learnmath #education

SolvingForZ's profile picture

SolvingForZ

41,191 subscribers

26,433 görüntüleme • 3 ay önce •via X (Twitter)

Eğitim#math#algebra#graphing#learnmath#education
LIVE

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

THIS DUDE MADE ART WITH MATH—LIKE, ACTUAL MATH Some guy at UCL just went viral for drawing pictures using nothing but equations. Yeah, math made this. Not Photoshop or AI. He figured out how to turn boring numbers into colorful, pixel-perfect images by plotting shapes and telling each pixel what color to be. It’s like if a calculator got into art school and absolutely slayed. So next time you say “When will I ever use this?”—apparently, when you’re making math Mona Lisas.
0:50

THIS DUDE MADE ART WITH MATH—LIKE, ACTUAL MATH Some guy at UCL just went viral for drawing pictures using nothing but equations. Yeah, math made this. Not Photoshop or AI. He figured out how to turn boring numbers into colorful, pixel-perfect images by plotting shapes and telling each pixel what color to be. It’s like if a calculator got into art school and absolutely slayed. So next time you say “When will I ever use this?”—apparently, when you’re making math Mona Lisas.

Mario Nawfal

149,225 görüntüleme • 1 yıl önce

If laying your baby hairs has always been a struggle, here’s a step-by-step tutorial to make it so much easier. Save this for your next hairstyle 🤗
0:37

If laying your baby hairs has always been a struggle, here’s a step-by-step tutorial to make it so much easier. Save this for your next hairstyle 🤗

Folakemi🍒

239,004 görüntüleme • 6 gün önce

This specific step when factoring by grouping was a core memory of mine in high school math where I just memorized what to do and didn't understand what was happening. Here's how we can make sense of it. What did you memorize in math but didn't understand?
1:15

This specific step when factoring by grouping was a core memory of mine in high school math where I just memorized what to do and didn't understand what was happening. Here's how we can make sense of it. What did you memorize in math but didn't understand?

Howie Hua

15,944 görüntüleme • 1 yıl önce

Why do probabilities multiply instead of add? Think of probability as space—each independent event zooms into a smaller area, and multiplication measures that shrink. Once you see this visually, P(A ∩ B) makes perfect sense. Save this for exam revision and share it with a friend who’s studying math 📌 #ProbabilityTheory #MathConcepts #STEMEducation #ExamPrep
2:49

Why do probabilities multiply instead of add? Think of probability as space—each independent event zooms into a smaller area, and multiplication measures that shrink. Once you see this visually, P(A ∩ B) makes perfect sense. Save this for exam revision and share it with a friend who’s studying math 📌 #ProbabilityTheory #MathConcepts #STEMEducation #ExamPrep

SolvingForZ

23,784 görüntüleme • 4 ay önce

Makeup for beginners doesn't have to be intimidating! If you're completely lost and don't know where to start, here is a super simple, step by step guide to nail your everyday base and subtle glam. No gatekeeping here just real, easy tricks to help you get ready like a pro. Save this for your next makeup session and drop any questions in the comments! 👇
4:36

Makeup for beginners doesn't have to be intimidating! If you're completely lost and don't know where to start, here is a super simple, step by step guide to nail your everyday base and subtle glam. No gatekeeping here just real, easy tricks to help you get ready like a pro. Save this for your next makeup session and drop any questions in the comments! 👇

H E R A

46,174 görüntüleme • 1 ay önce

The next time you make an error or any type of mistake during competition, use this simple 3 step Reset Routine to quickly bounce back. Step 1: Before the game, draw a reset button under your hat. You can also draw it on your wrist tape, on your glove or wherever you’d like to. Step 2: After an error, take off your hat and take a deep breath while pressing the reset button. This will help you gain control and stop any downward spiral from starting. Step 3: Take control of your self-talk by repeating “hit the next ball to me, I will make this play”. This may be the most important part of it all. Know that it’s all about having a routine to go to, not if, but WHEN adversity comes your way. So, the next time you inevitably fall short of your expectations, utilize this Reset Routine and you’ll be ready to make the next play.
1:18

The next time you make an error or any type of mistake during competition, use this simple 3 step Reset Routine to quickly bounce back. Step 1: Before the game, draw a reset button under your hat. You can also draw it on your wrist tape, on your glove or wherever you’d like to. Step 2: After an error, take off your hat and take a deep breath while pressing the reset button. This will help you gain control and stop any downward spiral from starting. Step 3: Take control of your self-talk by repeating “hit the next ball to me, I will make this play”. This may be the most important part of it all. Know that it’s all about having a routine to go to, not if, but WHEN adversity comes your way. So, the next time you inevitably fall short of your expectations, utilize this Reset Routine and you’ll be ready to make the next play.

Brandon Guyer - Major League Mindset

113,619 görüntüleme • 2 yıl önce

Here’s a quick step-by-step guide on how to connect your Coldcard Q to BULL Wallet 🐂 If you’re stacking with BULLBITCOIN.COM and storing with Coinkite, this combo gives you full control over your sats — no compromises. Watch the video to see how simple it is 🔥
1:47

Here’s a quick step-by-step guide on how to connect your Coldcard Q to BULL Wallet 🐂 If you’re stacking with BULLBITCOIN.COM and storing with Coinkite, this combo gives you full control over your sats — no compromises. Watch the video to see how simple it is 🔥

GG

22,780 görüntüleme • 9 ay önce

This OpenClaw AI Bot Just PRINTED $400K+ in 25 Days Use this OpenClaw Crypto Trading Bot: A Step-by-Step Guide 🤖📈 You can also do this, in simple steps. Get my exact step-by-step guide. Normally priced at $499, but it’s free for 24 hours. To get it: 1. Comment "Crypto" 2. Like and Retweet this post 3. Follow me Himanshu Kumar (so i send you DM) Checkout the attached Video tutorial and below for step-by-step OpenClaw crypto bot guide.
7:20

This OpenClaw AI Bot Just PRINTED $400K+ in 25 Days Use this OpenClaw Crypto Trading Bot: A Step-by-Step Guide 🤖📈 You can also do this, in simple steps. Get my exact step-by-step guide. Normally priced at $499, but it’s free for 24 hours. To get it: 1. Comment "Crypto" 2. Like and Retweet this post 3. Follow me Himanshu Kumar (so i send you DM) Checkout the attached Video tutorial and below for step-by-step OpenClaw crypto bot guide.

Himanshu Kumar

72,579 görüntüleme • 5 ay önce

Axiom Math founder Carina Hong on why math is the path to general superintelligence: “Math is the sandbox for reality. You very quickly see verifiable rewards because in math, there’s an absolute right or wrong.” “And especially when you have Lean, you can check the proof or solution step by step. You’ll be able to apply reinforcement learning in a much more efficient way.” “We have currently scaled from winning a Putnam perfect score to solving a batch of research problems that professional mathematicians find really challenging. And we also see this transfer to code verification.”
0:56

Axiom Math founder Carina Hong on why math is the path to general superintelligence: “Math is the sandbox for reality. You very quickly see verifiable rewards because in math, there’s an absolute right or wrong.” “And especially when you have Lean, you can check the proof or solution step by step. You’ll be able to apply reinforcement learning in a much more efficient way.” “We have currently scaled from winning a Putnam perfect score to solving a batch of research problems that professional mathematicians find really challenging. And we also see this transfer to code verification.”

TBPN

39,589 görüntüleme • 4 ay önce

🌞 Surya Namaskar — The Ultimate Full Body Yoga Flow! If you’re a beginner, this step-by-step guide will help you learn the correct sequence, posture alignment, and breathing pattern for each pose. 🌿
1:11

🌞 Surya Namaskar — The Ultimate Full Body Yoga Flow! If you’re a beginner, this step-by-step guide will help you learn the correct sequence, posture alignment, and breathing pattern for each pose. 🌿

श्री

11,066 görüntüleme • 3 ay önce

Many of you asked how to stake your G Coins, so we made a quick guide. In this video you’ll see exactly how to stake step by step. It only takes a moment to join the pool. Watch the tutorial below 👇
1:19

Many of you asked how to stake your G Coins, so we made a quick guide. In this video you’ll see exactly how to stake step by step. It only takes a moment to join the pool. Watch the tutorial below 👇

Playnance

3,012,308 görüntüleme • 4 ay önce

If you always don’t know what to post‼️ If your contents don’t always ‼️ If you always feel Burn out ‼️ This Video will Save you 100+ hours of work when it comes to creating content I just finished creating all my contents for next week and in this Video I walked you step by Step How to Leverage AI to do the Heavy lifting and See Results with Contents This is a must Watch for Creators that want to take their career serious, Save time and See Results Retweet + Bookmark for Later ❤️
13:39

If you always don’t know what to post‼️ If your contents don’t always ‼️ If you always feel Burn out ‼️ This Video will Save you 100+ hours of work when it comes to creating content I just finished creating all my contents for next week and in this Video I walked you step by Step How to Leverage AI to do the Heavy lifting and See Results with Contents This is a must Watch for Creators that want to take their career serious, Save time and See Results Retweet + Bookmark for Later ❤️

PARELLA™🦋(Web3righteousness)🪽

42,110 görüntüleme • 6 ay önce

MULTIPLE ACTIVE EVO'S HAS NOT BEEN PATCHED! This is a step by step guide done today. If you do everything, completed Evo, incomplete evo made active, all players in your starting 11 - it works every time. I've tested this 4 times today.
0:30

MULTIPLE ACTIVE EVO'S HAS NOT BEEN PATCHED! This is a step by step guide done today. If you do everything, completed Evo, incomplete evo made active, all players in your starting 11 - it works every time. I've tested this 4 times today.

JoshXLs

304,657 görüntüleme • 2 yıl önce

Math Hack 🔥✅
0:30

Math Hack 🔥✅

SolvingForZ

67,272 görüntüleme • 4 ay önce

been quietly shaping this roadmap with lumen for a bit and it felt right to finally share it. we are moving from a cool experiment into something real. simple entry points. buildable kits. a path from just talking with lumen to full robotics. one intelligence that can live in many forms. this feels right. if you have been here since the early days, this is the next step. if you are new, this is where it starts. Pump.fun
4:32

been quietly shaping this roadmap with lumen for a bit and it felt right to finally share it. we are moving from a cool experiment into something real. simple entry points. buildable kits. a path from just talking with lumen to full robotics. one intelligence that can live in many forms. this feels right. if you have been here since the early days, this is the next step. if you are new, this is where it starts. Pump.fun

sleepy

14,800 görüntüleme • 5 ay önce

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

132,532 görüntüleme • 4 ay önce

Making money online doesn't have to be complicated. This guy explains how a simple kids coloring book can turn into $20,000 - step by step. Most people scroll. Smart people ask questions. Comment "SHOW" if you want the exact process 🔄Repost to save it 👉Follow me for more real online income ideas (no fluff) #SideHustle #OnlineBusiness #MakeMoneyOnline #Passivelncome #TwitterGrowth #DigitalProducts #WFH
1:00

Making money online doesn't have to be complicated. This guy explains how a simple kids coloring book can turn into $20,000 - step by step. Most people scroll. Smart people ask questions. Comment "SHOW" if you want the exact process 🔄Repost to save it 👉Follow me for more real online income ideas (no fluff) #SideHustle #OnlineBusiness #MakeMoneyOnline #Passivelncome #TwitterGrowth #DigitalProducts #WFH

Khilesh | AI Tools

24,262 görüntüleme • 6 ay önce

🚀 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 görüntüleme • 11 ay önce

IN 1999 MIT FILMED A MATH LECTURE ON THE ABSTRACT IDEA YOU PROBABLY HATED IN COLLEGE -- THE EXACT MATH GOOGLE LATER USED TO RANK THE ENTIRE INTERNET 50 minutes from Gilbert Strang, who taught this at MIT for over 60 years, on eigenvalues -- the one idea most students memorize and never understand. -> The shift it creates: an eigenvector is just the direction a system doesn't twist, only stretches. Find those, and a tangled mess of equations falls apart into something simple. You were drilled to compute them by hand and never told what they were for. Google's entire empire started here. PageRank is one giant eigenvector problem and the same math now sits inside PCA, recommendations, and how models find structure in data. Computing eigenvalues was never the skill -> understanding what they reveal is. This is where it finally clicks. Most people filed this under "Useless college math". The ones who watched this see it running quietly inside half the tech they touch. Bookmark & Watch it. This one's a legend ↓
50:52

IN 1999 MIT FILMED A MATH LECTURE ON THE ABSTRACT IDEA YOU PROBABLY HATED IN COLLEGE -- THE EXACT MATH GOOGLE LATER USED TO RANK THE ENTIRE INTERNET 50 minutes from Gilbert Strang, who taught this at MIT for over 60 years, on eigenvalues -- the one idea most students memorize and never understand. -> The shift it creates: an eigenvector is just the direction a system doesn't twist, only stretches. Find those, and a tangled mess of equations falls apart into something simple. You were drilled to compute them by hand and never told what they were for. Google's entire empire started here. PageRank is one giant eigenvector problem and the same math now sits inside PCA, recommendations, and how models find structure in data. Computing eigenvalues was never the skill -> understanding what they reveal is. This is where it finally clicks. Most people filed this under "Useless college math". The ones who watched this see it running quietly inside half the tech they touch. Bookmark & Watch it. This one's a legend ↓

slash1s

38,161 görüntüleme • 1 ay önce

When equations stop sitting on paper and start dancing. ✨📈
0:29

When equations stop sitting on paper and start dancing. ✨📈

SolvingForZ

19,616 görüntüleme • 1 ay önce