863.6K
WOSteve brunton is sooo GOATEDDD !!!
#machinelearning #datascience #stem #artificialintelligence
@workiniterations
High Volume
#Machinelearning
世界中の人々によるMachinelearningに関する8M件のリール動画を視聴。
ログインせずに匿名で視聴。
8M posts
NewTrendingViral
トレンドリール
(12)
530.3K
EQThe Secret to Perfect Data Models #MachineLearning #PolynomialRegression #Statistics #Math #Manim Ever wondered why your machine learning model isn't performing as expected? In this video, we break down polynomial curve fitting, a fundamental concept in data science and statistics. We explore the visual differences between Degree 1 (Underfitting), Degree 3 (Good Fit), and Degree 11 (Overfitting). Learn how increasing the degree of a polynomial affects how it captures data trends and why the optimal model is crucial for accurate predictions.
@equationsinmotion
2.4M
SOme every day 🥹🥲
#research #computerscience #datascience #computervision #girlwhocodes #codinglife #softwareengineer #artificialintelligence #studygram #machinelearning #womenintech #womenwhocode #tech #learningdiary #researchpaper
@sopi.iscoding
4.2M
BLOnly a matter of time..
AI is advancing quickly enough that many routine and repetitive jobs could be largely automated within the next decade, especially in fields like data entry, customer service, basic accounting, and even some areas of transportation and logistics. As machine learning models become better at handling language, decision-making, and pattern recognition, they’re starting to move beyond simple tasks into roles that once required human judgment. However, “replacing most jobs” isn’t likely to happen overnight—what’s more realistic is a gradual shift where AI handles large portions of work while humans adapt into roles that focus on oversight, creativity, relationship-building, and complex problem-solving. The timeline will vary by industry, but the transition is already underway, and the biggest changes will likely be felt within the next 5 to 15 years.
#ai #bluecollar #plumbers #electrician #construction
@blue_collar_bible
47.1K
ANLearn to Learn Machine Learning 👾
This one is basic af, and I’ve abstracted a lot of the complexity but we’ll get more complex as we go.
(It was 54 seconds, then I yapped in the intro too much)
If there are any topics you want me to cover, let me know
#machinelearning #ai
@andrewcodesmith
6.0K
KAWhat is Machine Learning?
#ml #datascientist #machinelearning
@karinadatascientist
265.4K
MAWhat is Machine leaning part 1.
#machinelearning #ai
@machine_learning_samane
6.0K
DENeural networks don’t “understand” the world the way humans do... they transform it.
What you’re seeing here is how artificial neural networks actually learn: raw inputs are passed through multiple layers, where each layer reshapes the data slightly, amplifying useful signals and suppressing noise. Over time, these layered transformations turn messy inputs into structured representations the model can act on.
There’s no magic. No intuition. Just math, weights, activations, and gradients, stacked layer by layer.
This is the foundation behind machine learning, deep learning, computer vision, LLMs, and everything from game AI to self-driving systems. Learning happens not in one leap, but through thousands of small adjustments that slowly bend data into meaning.
Understanding this process is key to understanding how modern AI really works and why it’s so powerful.
Follow @deeprag.ai for clear, visual explanations of AI, neural networks, and the ideas shaping the future of intelligence.
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#artificialintelligence #neuralnetworks #deeplearning #machinelearning #aiexplained computerscience datascience aieducation llm futureofai aiarchitecture techlearning deepragai
@deeprag.ai
12.8K
SOI haven’t been doing any reinforcement learning for years! It’s nice to pick it up again ✨
For this project, I use python with these libraries ⬇️
📚pygame
📚gymnasium
📚numpy
📚pytorch (for training and DQN)
🍵
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#computerscience #datascience #llm #girlwhocodes #codinglife #coding #studygram #data #machinelearning #womenintech #womenwhocode #tech #codewithme #codingprojects #studygram #computervision #womeninstem #reinforcementlearning #ai
@sopi.iscoding
82.8K
STWhat is this simple yet effective machine learning algorithm?
⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️
—-——-——-——-——-——-——-——-—
**Study Group Info**
Want to master Machine Learning?
➡️Comment “Study” to join my exclusive study group**
—-——-——-——-——-——-——-——-—
⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️
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#math #ml #ai #machinelearning #artificialintelligence #DataScience #computerscience #quant #quantumcomputing
@studymlwithme
1.0M
TEThe man who helped build modern AI is now warning the world about it.
Geoffrey Hinton, often called the “Godfather of AI,” played a key role in developing neural networks and backpropagation — the same foundation behind today’s powerful AI systems. In 2024, he was honored with the Nobel Prize for his contributions.
But here’s the twist…
Hinton is no longer just celebrating AI — he’s warning us.
According to him, AI is already shaping reality in ways we don’t fully understand. From echo chambers on social media to large-scale surveillance and advanced scams, the impact is no longer theoretical — it’s happening now.
He also raised deeper concerns about the future:
AI systems becoming smarter than humans, autonomous decision-making machines, and technologies that could be misused if controlled by profit-driven companies instead of ethical systems.
His biggest message?
We are moving fast… but not carefully enough.
The question is no longer “What can AI do?”
It’s “Should we control it before it controls us?”
What do you think — opportunity or danger? 🤔
Credits: @nobelprize
DM for credit or removal.
#artificialintelligence #futuretechnology #machinelearning
#aivideo #technews
@techaivault
1.0M
SOResearcher name: Guangting Yu, Dailey Labs
The next wave of AI isn’t just chat. It’s simulation.
As models get better at learning dynamics, differential equations, and world models, AI moves closer to running experiments, testing ideas in simulated environments, and helping engineer real systems before they’re built.
Simulation engineering may be one of the biggest frontiers in AI. 🌊
#startuplife #founder #tech #machinelearning #ai
@sorhan.hq
✨ #Machinelearning発見ガイド
Instagramには#Machinelearningの下に8 million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。
#Machinelearningは現在、Instagram で最も注目を集めているトレンドの1つです。このカテゴリーには8 million以上の投稿があり、@blue_collar_bible, @sopi.iscoding and @techaivaultのようなクリエイターがバイラルコンテンツでリードしています。Pictameでこれらの人気動画を匿名で閲覧できます。
#Machinelearning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: @blue_collar_bible, @sopi.iscoding, @techaivaultなどがコミュニティをリード
#Machinelearning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#Machinelearning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2.2M回の再生（平均の2.5倍）
週3-5回、活動時間に定期的に投稿
コンテンツ作成のヒントと戦略
🔥 #Machinelearningは高いエンゲージメント可能性を示す - ピーク時に戦略的に投稿
✍️ 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491文字
📹 #Machinelearning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
✨ 多くの認証済みクリエイターが活動中（42%） - コンテンツスタイルを研究
#Machinelearning に関連する人気検索
🎬動画愛好家向け
Machinelearning ReelsMachinelearning動画を見る
📈戦略探求者向け
Machinelearningトレンドハッシュタグ最高のMachinelearningハッシュタグ
🌟もっと探索
Machinelearningを探索#what is machinelearning