249.3K
SVSystem hang 💨
#explore #svm #munger #viralvideos #explorepage
@svm_25_26_batch
#Svm Kernel Functions
世界中の人々によるSvm Kernel Functionsに関する件のリール動画を視聴。
ログインせずに匿名で視聴。
トレンドリール
(12)
304.8K
DAThe Kernel Trick explained in 75 seconds ✨
Ever wondered how machine learning separates data that seems impossible to separate?
Here's the secret:
→ In 2D, no line can separate this data
→ But lift it into 3D...
→ A simple plane does the job perfectly
This is why Support Vector Machines are so powerful 🧠
Save this for later 🔖
—
Follow @dailymathvisuals for daily ML & math visualizations
#machinelearning #artificialintelligence #datascience #python #coding #svm #kerneltrick #ai #tech #programming #learnwithreels #educationalreels #mathvisualization #deeplearning #engineering
@dailymathvisuals
1.9K
MRDay 13 Support Vector Machines 🔪
Your face unlock uses this.
Cancer detection AI uses this.
Gmail spam filter was built on this.
It's called SVM — and the secret is the Kernel Trick.
When data can't be separated in 2D?
SVM lifts it into 3D (or even infinite dimensions)
until a clean boundary appears.
Think of it like this:
→ Red & blue marbles mixed on a table
→ You can't draw a line between them
→ Tilt the table — they separate automatically
That's exactly what the Kernel Trick does.
And you can build it in 2 lines of Python.
💬 Tell me in comments:
Which kernel have you heard of or used?
🔵 RBF (default)
🟡 Linear
🟢 Polynomial
🔴 Never used SVM before
Series: #30DaysOfMachineLearning
#SVM #MachineLearning #KernelTrick #Python DataScience MLInterview AIIndia MrAIverse
@mr.aiverse
9.8K
GISVM : Support Vector Machine - ML Series
.
.
.
.
.
#ai #ml #svm #tech #machinelearning
@girlwhodebugs
445.9K
DACMD Magic! ⚡💻 Command Prompt sirf black screen nahi, ek powerful tool hai! 😎🔥 Kya aapko yeh cool CMD tricks pata hain? 👇
✅ ipconfig – Check network details
✅ tasklist – Active processes dekho
✅ shutdown -s -t 60 – Auto shutdown in 60 sec
✅ netstat -an – Open network connections dekho
✅ color 0A – Green hacker-style text
Aur kaunsi CMD trick aap use karte ho? Comment karo! 👇 #CMDHacks #CMDMagic #CommandPrompt #TechHacks #WindowsTips #CodingLife #DeveloperTools #HackerMode #ITTricks #LearnTech #PowerOfCMD #savageslayer #programbereach #sohaibalikhan #sohaibbashirkhan #researchteq #savageslayerofficials #datawarlord #datawarlordofficial #wordpressdeveloper #webdevelopment #webdeveloper
@datawarlord_official
36.5K
DA📍6 Pillar Machine Learning Algorithms (Episode 88 of 100): DM to download the Free PDF👇
1. Support Vector Machine (SVM):
SVM is a commonly applied supervised machine learning algorithm that searches hyperplane with maximal separation from each data class.
2. Naive Bayes (NB):
Naive Bayes, another supervised ML algorithm, is a probabilistic method based on Bayes’ law.
3. Logistic regression:
Logistic regression is a classification algorithm utilized for probability prediction of target class by logistic function.
4. K-Nearest Neighbors:
The K-Nearest Neighbors is a distance-based algorithm as it first finds all the closest points around
new unknown data point and calculates the distance between them to determine the class of new data points.
5. Decision Trees:
Decision tree, a supervised machine learning algorithm, is a tree-structured classifier that continuously divides the data based on specific parameters.
6. Random Forest:
The random forest comprises multiple decision trees and can provide more accurate predictions by combining all of them.
⏰ Like this Post? Go to our bio, click subscribe button and subscribe to our page. Join our exclusive subscribers channel ✨
Hashtags (ignore):
#datascience #python #python3ofcode #programmers #coder #programming #developerlife #programminglanguage #womenwhocode #codinggirl #entrepreneurial #softwareengineer #100daysofcode #programmingisfun #developer #coding #software #programminglife #codinglife #code
@datascienceschool
116.1K
HEA Support Vector Machine does not simply draw any separating line between classes.
Its objective is to find a decision boundary that maximizes the distance from the nearest data points of each class, leading to better generalization on unseen data.
Conceptually, many separating boundaries are possible, but SVM selects the one with the maximum margin.
These margins expand until they touch a few critical data points.
Such points are called support vectors, as they uniquely determine the position of the decision boundary.
This explanation focuses on intuition; in practice, SVM learns this boundary by solving an optimization problem.
@heydevanand
46.8K
ALHere is how to make this extreme Frequency Modulation on Serum VST:
1. Open serum go to global tab
2. Set to oscillator settings to 4x
3. On OSC A select Analog, Basic shapes for a sine wave
4. Copy to OSC B and put the volume all the way down
5. OSC B one octave down
6. Set OSC A warp mode to FM from B
7. Now gradually increase FM amount and OSB B pitch coarse
We are using @exciteaudio Vision 4x for the spectrogram visuals
#sounddesigntips #sounddesigner #sounddesignerlife #sounddesign #sounddesigners #sounddesigning #abletonpush2 #ableton #abletonlive #abletontips #MusicProductionCourse #musicproductiontutorials #musicproductiontips #psytranceproducers #musicproductionlife #musicproduction
@aliennoiseacademy
292.7K
KHThis is just a basic difference between them.
KNN looks at neighbors.
SVM draws the smartest boundary.
Clustering finds groups without labels.
Same data.
Different logic.
Different goals.
Understanding the difference is where real machine learning begins.
If you’re learning ML or AI, save this.
#machinelearning #datascience #artificialintelligence #knn #svm clustering mlconcepts aieducation aireels techreels datasciencereels learnml buildinpublic techcreators reelsindia indiantech futureofai viralreels explorepage
@khushigrewall
12.7K
SV#composition #likecommentshare🔥follow💖guys🥀❤️💥______________________😊😊 #trendingreels #svsdjkings💥🤙
@svs_dj_kings
26.5K
BASupport Vector Machine sounds complex.
But the idea is simple.
It tries to draw a boundary
that separates different classes.
Not just any boundary —
the BEST one.
The one with the maximum margin.
More distance from data points
= better separation.
That’s how SVM makes predictions.
SAVE this if you're learning ML.
#machinelearning
#svm
#supportvectormachine
#mlalgorithms
#datascience
#aiml
#techreels
#typographyinspired
#typographydesign
#typography
@bakwaso_pedia
113.0K
_MFLARE VM
(FireEye Labs Advanced Reverse Engineering Virtual Machine)
is the ultimate Windows-based security toolkit designed for:
🔹 Malware Analysts
🔹 Reverse Engineers
🔹 Red Teamers & Pentesters
🔹 Cybersecurity Researchers
🔹 CTF Players
Think of FLARE VM as Kali Linux,
but for Windows malware analysis fully loaded with tools like IDA, Ghidra, x64dbg, and more
But beware… once installed,
your PC might just start analyzing you too. 👀💀
:
:
:
:
:
:
I am MR. ANONIM.
You can call me Mr. A. A hacker whose category
you may try to guess white, grey, black
but one thing is certain:
I am the shadow in the digital abyss,
the unseen force that shields you from a world crawling with threats.
🌒 In this dark, chaotic realm where your data is hunted and your privacy preyed upon,
I offer you protection cloaked in anonymity. 🛡️✨
In a landscape where malicious eyes watch every corner, and unseen dangers await their next victim,
I stand as your shield.
I don’t just guard you; I haunt the hunters.
The question isn’t who I am—it’s whether you’re ready to embrace the darkness that protects you. 💻⚡💀
:
:
:
:
:
:
#reverseengineering #flarevm #cybersecurity #hackingmemes #infosec #ethicalhacking #redteam #penteados #malwareanalysis #debugging #exploit #cyberawareness
@_mr.acker
✨ #Svm Kernel Functions発見ガイド
Instagramには#Svm Kernel Functionsの下にthousands of件の投稿があり、プラットフォームで最も活気のあるビジュアルエコシステムの1つを作り出しています。
ログインせずに最新の#Svm Kernel Functionsコンテンツを発見しましょう。このタグの下で最も印象的なリール、特に@datawarlord_official, @dailymathvisuals and @khushigrewallからのものは、大きな注目を集めています。
#Svm Kernel Functionsで何がトレンドですか？最も視聴されたReels動画とバイラルコンテンツが上部に掲載されています。
人気カテゴリー
📹 ビデオトレンド: 最新のReelsとバイラル動画を発見
📈 ハッシュタグ戦略: コンテンツのトレンドハッシュタグオプションを探索
🌟 注目のクリエイター: @datawarlord_official, @dailymathvisuals, @khushigrewallなどがコミュニティをリード
#Svm Kernel Functionsについてのよくある質問
Pictameを使用すれば、Instagramにログインせずに#Svm Kernel Functionsのすべてのリールと動画を閲覧できます。あなたの視聴活動は完全にプライベートです。ハッシュタグを検索して、トレンドコンテンツをすぐに探索開始できます。
パフォーマンス分析
12リールの分析
💡 トップ投稿は平均323.2K回の再生（平均の2.3倍）
ピーク時間（11-13時、19-21時）とトレンド形式に注目
コンテンツ作成のヒントと戦略
💡 トップコンテンツは10K以上再生回数を獲得 - 最初の3秒に集中
📹 #Svm Kernel Functionsには高品質な縦型動画（9:16）が最適 - 良い照明とクリアな音声を使用
✍️ ストーリー性のある詳細なキャプションが効果的 - 平均長621文字
#Svm Kernel Functions に関連する人気検索
🎬動画愛好家向け
Svm Kernel Functions ReelsSvm Kernel Functions動画を見る
📈戦略探求者向け
Svm Kernel Functionsトレンドハッシュタグ最高のSvm Kernel Functionsハッシュタグ
🌟もっと探索
Svm Kernel Functionsを探索#svm#kernel#kernels