اکنون در دسترس! پژوهش تلگرام ۲۰۲۵ — مهمترین بینشهای سال 
Machine Learning
رفتن به کانال در Telegram
Real Machine Learning — simple, practical, and built on experience. Learn step by step with clear explanations and working code. Admin: @HusseinSheikho || @Hussein_Sheikho
نمایش بیشتر📈 تحلیل کانال تلگرام Machine Learning
کانال Machine Learning (@machinelearning9) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 40 039 مشترک است و جایگاه 3 406 را در دسته فناوری و برنامهها و رتبه 232 را در منطقه سوريا دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 40 039 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 21 ژوئن, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 398 و در ۲۴ ساعت گذشته برابر -1 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 2.30% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 1.15% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 920 بازدید دریافت میکند. در اولین روز معمولاً 461 بازدید جمعآوری میشود.
- واکنشها و تعامل: مخاطبان بهطور فعال حمایت میکنند؛ میانگین واکنش به هر پست 3 است.
- علایق موضوعی: محتوا بر موضوعات کلیدی مانند distance, insidead, gpu, learning, degree تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاههای شخصی توصیف میکند:
“Real Machine Learning — simple, practical, and built on experience.
Learn step by step with clear explanations and working code.
Admin: @HusseinSheikho || @Hussein_Sheikho”
به لطف بهروزرسانیهای پرتکرار (آخرین داده در تاریخ 22 ژوئن, 2026)، کانال همواره بهروز و دارای دسترسی بالاست. تحلیلها نشان میدهد مخاطبان بهطور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته فناوری و برنامهها تبدیل کردهاند.
40 039
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آرشیو پست ها
40 039
Transformer implementations for vision, audio, and AI agents
Repo: https://github.com/Nicolepcx/transformers-the-definitive-guide
40 039
Unlock the inside scoop on Kenya’s trends!
Stop right there! Did you know that Kenya’s entertainment scene is on fire? 🔥 Here’s how you can keep your finger on the pulse:
- Explore the hottest gossip: Discover what’s buzzing with your favorite celebs and artists. 🎤✨
- Be in the loop: Check out what’s trending in music and drama right now. Trust me, you don’t want to miss this!
- Stay safe online: Find out what Kenya’s pushing for to keep social media clean and safe.
Dive deeper into these updates and keep having a blast with your friends! 👉 Get the latest vibes
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40 039
Unlock Your Next Manhwa Adventure Did you know 72% of readers miss the latest episodes? Stay ahead with You Are My World!
- Dive into gripping stories with every chapter.
- Join a passionate community of fans.
- Access exclusive content not found anywhere else.
- Share your thoughts and insights on plot twists.
Don’t let FOMO haunt you-enhance your reading experience today! 👉 Explore Chapters Now
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40 039
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What if I told you Reel Scoop NG has the hottest movie gossip? 🎬🔥 I’ve been digging around so you don’t have to, and trust me, you wanna be in on this!
- Fresh memes that make Nollywood and Hollywood gossip entertaining 😂
- Blockbuster trailers that’ll get you hyped! 🚀
- Real scoops from the cinema world, wrapped in culture vibes 🌍
- Hot takes that’ll spark some lively chats! 💬
Don’t miss out on the latest buzz; it’s all here, no fluff guaranteed. Join the fun and see what everyone is talking about! 👉 Get the scoop now!
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40 039
Repost from Machine Learning with Python
Found an easy way to learn math for ML: Mathematics for Machine Learning 🎓📚
This is a curated collection on GitHub, including books, research papers, video lectures, and basic materials on math for studying and reviewing the mathematical foundations of machine learning. 📖📊
It helps build a stronger knowledge base by bringing together trusted resources around topics that machine learning engineers constantly encounter: linear algebra, mathematical analysis, probability theory, statistics, information theory, matrix calculus, and deep learning mathematics. 🧮🤖
Free public repository on GitHub. 💻✨
https://github.com/dair-ai/Mathematics-for-ML
#MachineLearning #Mathematics #DataScience #Learning #GitHub #AI
40 039
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Repost from Data Analytics
Pandas vs Polars vs DuckDB: Which Library Should You Choose? 🤔📊
pandas remains the default choice for notebooks, exploratory analysis, visualization, and machine learning workflows 📝📈. Polars focus on fast, memory-efficient DataFrame processing ⚡💾, while DuckDB brings a SQL-first approach for querying local files and embedded analytics 🗄️🔍.
Each tool fits a different kind of local data workflow 🛠️. In this article, we compare pandas, Polars, and DuckDB across performance, architecture, interoperability, and real-world use cases 🏆🔗.
More: https://www.analyticsvidhya.com/blog/2026/05/pandas-vs-polars-vs-duckdb/ 🔗
#DataScience #Pandas #Polars #DuckDB #Python #Analytics
40 039
Interfaith Christian channel. Daily Bible verses for reflection. Join us!
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🔥 Awesome open-source project to learn more about Transformer Models! 🤖✨
We found this interactive website that shows you visually how transformer models work. 🌐📊
Transformer Explainer:
https://poloclub.github.io/transformer-explainer/
#TransformerModels #OpenSource #AI #MachineLearning #DataScience #Tech
40 039
Interfaith Christian channel. Daily Bible verses for reflection. Join us!
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40 039
🚀 Master Binary Classification with Neural Networks! 🧠✨
Ever wondered how to build a neural network from scratch in Python using NumPy? 🐍📊
Binary classification is at the heart of many machine learning applications. 🎯🤖
Our super-detailed guide walks you through the entire process step by step. 📝📚
💡 Dive in and start building your own neural network today! 🏗🔥
https://lnkd.in/e4CydTtB
#MachineLearning #NeuralNetworks #Python #DataScience #AI #Tech
40 039
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👣 Rust Interview Deep Dive 🦀🔍
A repository for systematic preparation for Rust interviews at the middle, senior, and staff levels. 💼📚
Inside 100 real questions from interviews in product and infrastructure companies, detailed analyses with code examples and scenarios of tasks that occur in production. 💻🏗️ Not "guess the program's output", but the mechanics on which real services are built. 🛠️🚀
Here are lock-free structures, self-referential types in async, FFI with tensor libraries, correct Send on guards via await, memory ordering under loom, soundness of custom collections. 🔒⚡ And it all starts with the basics. Ownership, borrowing, lifetimes. 🧱🔄 Those who want can start from scratch or at the staff level. 🚶♂️👨💻
https://github.com/Develp10/rustinterviewquiestions 🔗
#Rust #Programming #InterviewPrep #SoftwareEngineering #SystemsProgramming #CareerGrowth
