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كورسات الذكاء الاصطناعي

كورسات الذكاء الاصطناعي

Kanalga Telegram’da o‘tish

📈 Telegram kanali كورسات الذكاء الاصطناعي analitikasi

كورسات الذكاء الاصطناعي (@corses_ai) Arab til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 12 696 obunachidan iborat bo'lib, Taʼlim toifasida 15 778-o'rinni va Iroq mintaqasida 9 533-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 12 696 obunachiga ega bo‘ldi.

27 Iyul, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 1 255 ga, so‘nggi 24 soatda esa 26 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 17.35% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 6.23% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 0 marta ko‘riladi; birinchi sutkada odatda 790 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 0 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent تَصمِيم, ذَكَاء, أَدَاة, صُورَة, عُنصُر kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
للتواصل:- @Youssef_Fadel

Yuqori yangilanish chastotasi (oxirgi ma’lumot 28 Iyul, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Taʼlim toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

12 696
Obunachilar
+2624 soatlar
+1907 kunlar
+1 25530 kunlar
Postlar arxiv
🎉تم تحديث البوت وإضافة كورسات جديدة @www_www221bot

20. Backpropagation Algorithm in Details

19. Introduction to Backpropagation Algorithm

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Keras Building Your First Neural Network (2).png1.21 KB

18. Keras: Building Your First Neural Network

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Install Keras (2).png0.34 KB

17. Install Keras

16. Biological Neural Networks

15. Introduction to Neural Networks Part 2

14. Introduction to Neural Networks Part 1

13. Multi-Class Classification

12. Cost function

11. Introduction to Logistic Regression

10. Linear Regression with Multiple Variables

9. Gradient Descent Algorithm

8. Cost Function Intuition

7. Univariate Linear Regression

6. Machine Learning & Deep learning Applications

5. Steps to Build a Machine Learning System

4. K-Nearest Neighbors (KNN) Model