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DLeX: AI Python

DLeX: AI Python

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هوش‌مصنوعی و برنامه‌نویسی توییتر : https://twitter.com/NaviDDariya لینک پیام ناشناس، جهت انتقادات، حرف و حدیث و پیشنهادات : https://t.me/mahtabak_nashenas_bot?start=1dOIcE18ITmb5Htw1M7zgq

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📈 Analytical overview of Telegram channel DLeX: AI Python

Channel DLeX: AI Python (@ai_python) in the Farsi language segment is an active participant. Currently, the community unites 21 303 subscribers, ranking 6 188 in the Technologies & Applications category and 16 433 in the Iran region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 21 303 subscribers.

According to the latest data from 04 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -74 over the last 30 days and by -7 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 8.12%. Within the first 24 hours after publication, content typically collects 3.58% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 731 views. Within the first day, a publication typically gains 762 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 16.
  • Thematic interests: Content is focused on key topics such as مصنوعی, توییتر, ماهواره, داده, فناوری.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“هوش‌مصنوعی و برنامه‌نویسی توییتر : https://twitter.com/NaviDDariya لینک پیام ناشناس، جهت انتقادات، حرف و حدیث و پیشنهادات : https://t.me/mahtabak_nashenas_bot?start=1dOIcE18ITmb5Htw1M7zgq”

Thanks to the high frequency of updates (latest data received on 05 November, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

21 303
Subscribers
-724 hours
-97 days
-7430 days
Posts Archive
Postdoc positions (machine learning, speech synthesis & recognition, emotion) available at SUTD Singapore Police cars revolving light If you're interested, please apply: https://careers.sutd.edu.sg/re/en/job/494652/research-fellow-istd #اپلای ❇️ @AI_Python

If you're a PhD student interested in interning with me or one of my amazing colleagues at MSR New England this summer, please apply here: https://careers.microsoft.com/us/en/job/1184126/Research-Intern-Machine-Learning-Statistics-and-AutoML/ #موقعیت_شغلی ❇️ @AI_Python

Job alert: we are looking for a PhD student in interpretable machine learning for medical image analysis to join our lab. See all infos here: https://mlmia-unitue.de/job/2021-10-04-phd-interpretability/ Applications only through Max Planck Institute for Intelligent Systems research school: https://imprs.is.mpg.de #اپلای ❇️ @AI_Python

#اپلای

I'm looking for M.Sc. and Ph.D. students who want to work on computer graphics, machine learning and deep learning. Anyone interested can email me. Please spread it to the world. akademik.ube.ege.edu.tr/~kurt/ #اپلای ❇️ @AI_Python

GIT Cheatsheet for beginners ❇️ @AI_Python
GIT Cheatsheet for beginners ❇️ @AI_Python

Facebook Loves Self-Supervised Learning ❇️ @AI_Python
Facebook Loves Self-Supervised Learning ❇️ @AI_Python

86 Machine Learning Algorithms & Models Explained with Python https://medium.com/coders-camp/all-machine-learning-algorithms-
86 Machine Learning Algorithms & Models Explained with Python https://medium.com/coders-camp/all-machine-learning-algorithms-models-explained-adcd95d5fb3c #الگوریتمها #یادگیری_ماشین #پایتون #منابع #python #machinelearning ❇️ @AI_Python

#Python Debugging Cheat Sheet ❇️@UseLinux

Full Stack Developer Requirements. ❇️ @AI_Python
Full Stack Developer Requirements. ❇️ @AI_Python

12 راه ساخت اعتماد به داده ها #پایتون #منابع #الگوریتمها #دادهها ❇️ @AI_Python
12 راه ساخت اعتماد به داده ها #پایتون #منابع #الگوریتمها #دادهها ❇️ @AI_Python

خب دوباره سلام 😊 قرار شد اولین هفته رو از خودِ پایتون شروع کنیم... یه سر به نسخه جدیدش که چند وقت پیش اومد بزنیم و یکم با ویژگی هایی که بهش اضافه شده آشنا شیم. مخصوصا match-case ... آیا همون switch case عه زبان های دیگس ؟ اومده تا چه کمکی بکنه ؟ طرز استفاده صحیحش چطوریه؟ اگه هنوز فرصت نکردین که بررسیش کنید، کسری و محمد قراره بیشتر راجع بهش توضیح بدن 👍🏻 ✅ دو شنبه شب ساعت 9 توی گروه @python_QA میبینیمتون

I’ve got a #python coding challenge from a random Instagram user.🚶‍♂️ ❇️ @AI_Python
I’ve got a #python coding challenge from a random Instagram user.🚶‍♂️ ❇️ @AI_Python

"No Need to Know Everything! Efficiently Augmenting Language Models With External Knowledge" Instead of packing all knowledge
"No Need to Know Everything! Efficiently Augmenting Language Models With External Knowledge" Instead of packing all knowledge in the model, the system provides external Wiki knowledge and trains the model to use that source. https://openreview.net/pdf?id=fn5K7VfI3MV #مقاله ❇️ @AI_Python

📖 Bayesian Optimization Book 2021 Book: https://bayesoptbook.com Github: https://github.com/bayesoptbook/bayesoptbook.github.io

This video visualizes how a neural network works, in particular, how it classifies a set of data. youtu.be/-at7SLoVK_I
This video visualizes how a neural network works, in particular, how it classifies a set of data. youtu.be/-at7SLoVK_I

Why #AI and #maths ? buff.ly/3p5Moq1 #مقاله #ریاضی #هوش_مصنوعی #آموزش #ArtificialIntellingence #MachineLearning ❇️ @AI_Python
Why #AI and #maths ? buff.ly/3p5Moq1 #مقاله #ریاضی #هوش_مصنوعی #آموزش #ArtificialIntellingence #MachineLearning ❇️ @AI_Python

ConditionalQA is a question answering dataset that contains complex questions with conditional answers, i.e. the answers are
ConditionalQA is a question answering dataset that contains complex questions with conditional answers, i.e. the answers are only true when certain conditions apply. It can motivate doing research for complex question answering over long documents. ConditionalQA: A Complex Reading Comprehension Dataset with Conditional Answers https://paperswithcode.com/dataset/conditionalqa #مقاله #دیتا #دیتاست ❇️ @AI_Python

آموزش های هوش مصنوعی دکتر اله یاری RNN and LSTM Networks Tutorial Part 1 #منابع #فیلم #دانشگاه #الگوریتمها #کلاس_آموزشی #یادگیری_ماشین #هوش_مصنوعی #machinelearning #ArtificialIntelligence #DeepLearning ❇️ @AI_Python 🗣 @AI_Python_arXiv ✴️ @AI_Python_EN