Machine Learning
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 40 072 مشترک است و جایگاه 3 398 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 40 072 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 23 ژوئن, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 379 و در ۲۴ ساعت گذشته برابر 30 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 1.92% 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 770 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 24 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.
در حال بارگیری داده...
| تاریخ | رشد مشترکین | اشارات | کانالها | |
| 24 ژوئن | +9 | |||
| 23 ژوئن | +34 | |||
| 22 ژوئن | +9 | |||
| 21 ژوئن | +10 | |||
| 20 ژوئن | +10 | |||
| 19 ژوئن | +8 | |||
| 18 ژوئن | +13 | |||
| 17 ژوئن | +17 | |||
| 16 ژوئن | +23 | |||
| 15 ژوئن | +33 | |||
| 14 ژوئن | +24 | |||
| 13 ژوئن | +14 | |||
| 12 ژوئن | +27 | |||
| 11 ژوئن | +12 | |||
| 10 ژوئن | +20 | |||
| 09 ژوئن | +8 | |||
| 08 ژوئن | +14 | |||
| 07 ژوئن | +18 | |||
| 06 ژوئن | +17 | |||
| 05 ژوئن | +24 | |||
| 04 ژوئن | +24 | |||
| 03 ژوئن | +26 | |||
| 02 ژوئن | +33 | |||
| 01 ژوئن | +31 |
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| 5 | My favorite way to work with multiple filters in pandas.Series — not a chain of .loc, but a single mask. 🐼
The chain looks neat, but breaks on real data and easily gives unexpected results:
s = pd.Series([10, 15, 20, 25, 30])
s.loc[s > 20].loc[s % 2 == 1]
The problem is that the second .loc again looks at the original s, not the already filtered result. The logic gets messy. 🤯
It's more reliable to gather everything into one expression:
s = pd.Series([10, 15, 20, 25, 30])
mask = (s > 20) & (s % 2 == 1)
result = s.loc[mask]
One mask, one point of truth. ✅
It's easier to debug. Fewer surprises when the code grows. 🚀
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| 7 | A free MIT guide to key computer vision concepts 📘
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1 - Anthropic:
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2 - Google:
grow.google/ai
3 - Meta:
ai.meta.com/resources/
4 - NVIDIA:
developer.nvidia.com/cuda
5 - Microsoft:
learn.microsoft.com/en-us/training/
6 - OpenAI:
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7 - IBM:
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8 - AWS:
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10 - Hugging Face:
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💬 Comment "Learning" if you find this helpful.
🔄 Repost so others can take help.
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| 19 | Classical machine learning equations and diagrams cheat sheet
https://github.com/soulmachine/machine-learning-cheat-sheet | 2 897 |
| 20 | The guide Path to Senior Engineer Handbook has gathered resources for developers who want to advance to the level of Senior Engineer. 🚀
Inside: 📚
More than 50 newsletters on professional growth, system design, leadership, and web development. 📈
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A good starting point for those who want to improve not only their technical skills, but also their architectural thinking, communication, and leadership competencies. 💡
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اکنون در دسترس! پژوهش تلگرام ۲۰۲۵ — مهمترین بینشهای سال 
