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Firibgarlarga uchmang! Telemetrio bunday kanallarni topadi va belgilaydi 👉 Belgini ko‘rmoqchi bo‘lsangiz, obuna bo‘ling

DLeX: AI Python

DLeX: AI Python

Kanalga Telegram’da o‘tish

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

Ko'proq ko'rsatish

📈 Telegram kanali DLeX: AI Python analitikasi

DLeX: AI Python (@ai_python) Forsiy til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 21 303 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 6 188-o'rinni va Eron mintaqasida 16 433-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 21 303 obunachiga ega bo‘ldi.

04 Noyabr, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -74 ga, so‘nggi 24 soatda esa -7 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 8.12% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 3.58% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 1 731 marta ko‘riladi; birinchi sutkada odatda 762 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 16 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent مصنوعی, توییتر, ماهواره, داده, فناوری kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“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”

Yuqori yangilanish chastotasi (oxirgi ma’lumot 05 Noyabr, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

21 303
Obunachilar
-724 soatlar
-97 kun
-7430 kun
Postlar arxiv
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