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كورسات الذكاء الاصطناعي

كورسات الذكاء الاصطناعي

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📈 Analytical overview of Telegram channel كورسات الذكاء الاصطناعي

Channel كورسات الذكاء الاصطناعي (@corses_ai) in the Arabic language segment is an active participant. Currently, the community unites 11 741 subscribers, ranking 17 062 in the Education category and 10 359 in the Iraq region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 11 741 subscribers.

According to the latest data from 05 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 787 over the last 30 days and by 6 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 13.99%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 611 views. Within the first day, a publication typically gains 0 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 4.
  • Thematic interests: Content is focused on key topics such as تَصمِيم, ذَكَاء, أَدَاة, صُورَة, عُنصُر.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
للتواصل:- @Youssef_Fadel

Thanks to the high frequency of updates (latest data received on 06 July, 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 Education category.

11 741
Subscribers
+624 hours
+747 days
+78730 days
Posts Archive
20. Backpropagation Algorithm in Details

19. Introduction to Backpropagation Algorithm

+7
Keras Building Your First Neural Network (2).png1.21 KB

18. Keras: Building Your First Neural Network

+5
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

3. Types of Machine Learning