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Machine Learning

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 40 040 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 40 040 مشترک جذب کرده است.

بر اساس آخرین داده‌ها در تاریخ 22 ژوئن, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 372 و در ۲۴ ساعت گذشته برابر 2 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.

  • وضعیت تأیید: تأیید نشده
  • نرخ تعامل (ER): میانگین تعامل مخاطب 1.94% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 1.16% واکنش نسبت به کل مشترکان کسب می‌کند.
  • دسترسی پست‌ها: هر پست به طور میانگین 775 بازدید دریافت می‌کند. در اولین روز معمولاً 466 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 23 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.

40 040
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Listen - 72% of verified reports we tracked this month changed the battlefield map in under 48 hours. Want that kind of clarity on Sudan, DRC, the Sahel? Forgotten Fronts digs through OSINT, tags confidence, and shows sources so you know what’s real and what’s chatter. Check this out: follow for daily dispatches, rapid alerts, and verified threads. High-signal, no noise. Join us: Forgotten Fronts - or ping @ForgottenFronts_bot for instant alerts. #ad 📢 InsideAd

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🧮 $40/day × 30 days = $1,200/month. That's what my students average. From their phone. In 10 minutes a day. No degree needed
🧮 $40/day × 30 days = $1,200/month. That's what my students average. From their phone. In 10 minutes a day. No degree needed. No investment knowledge required. Just Copy & Paste my moves. I'm Tania, and this is real. 👉 Join for Free, Click here #ad 📢 InsideAd

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📌 How to Run OpenClaw with Open-Source Models 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2026-04-22 | ⏱️ Read time: 8 min r
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Today, the public mint for Lobsters on TON goes live on Getgems 🦞 This is not just another NFT drop. In my view, Lobsters is
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🔥 Google Colab has added the option of retraining 500+ open-source neural networks Unsloth has released a convenient notebook for configuring models. Instructions: 1. Open the page in Colab: https://colab.research.google.com/github/unslothai/unsloth/blob/main/studio/Unsloth_Studio_Colab.ipynb 2. Run the blocks and the Unsloth Studio itself. 3. Select a model and a dataset. 4. Click "Start Training" and monitor the progress in real time. 5. Everything is ready - you can immediately compare the regular and fine-tuned versions of the model in the chat.