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Computer Science and Programming

Computer Science and Programming

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Channel for who have a passion for - * Artificial Intelligence * Machine Learning * Deep Learning * Data Science * Computer vision * Image Processing * Research Papers * Related Courses and Ebooks With advertising offers contact:

إظهار المزيد

📈 نظرة تحليلية على قناة تيليجرام Computer Science and Programming

تُعد قناة Computer Science and Programming (@machinelearning_programming) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 14 846 مشتركاً، محتلاً المرتبة 8 736 في فئة التكنولوجيات والتطبيقات والمرتبة 29 532 في منطقة الهند.

📊 مؤشرات الجمهور والحراك

منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 14 846 مشتركاً.

بحسب آخر البيانات بتاريخ 04 يونيو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار -152، وفي آخر 24 ساعة بمقدار -7، مع بقاء الوصول العام مرتفعاً.

  • حالة التحقق: غير موثّقة
  • معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 14.63‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً N/A‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
  • وصول المنشورات: يحصل كل منشور على متوسط 0 مشاهدة. وخلال اليوم الأول يجمع عادةً 0 مشاهدة.
  • التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 0.
  • الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل learning, github, engineer, quantization, detection.

📝 الوصف وسياسة المحتوى

يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
Channel for who have a passion for - * Artificial Intelligence * Machine Learning * Deep Learning * Data Science * Computer vision * Image Processing * Research Papers * Related Courses and Ebooks With advertising offers contact:

بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 05 يونيو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التكنولوجيات والتطبيقات.

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Advanced Python made easy Python is an object-orientated language that closely resembles the English language which makes it
Advanced Python made easy Python is an object-orientated language that closely resembles the English language which makes it a great language to learn for beginners. It’s advanced features and package of supported libraries even makes hard task be writable in bunch of lines of code. 1.Join 👉@DeepLearning_ai 2.Join 👉@ComputerScience_MachineLearning https://medium.com/quick-code/advanced-python-made-easy-eece317334fa

10+ Python Tips and Tricks You Should Know in 2020 This video covers some different tips and trick in Python. These tricks make it easier and faster to write python code and give you some good tools to use the future. What's your favorite python tip and trick? Let me know! 1.Join 👉@DeepLearning_ai 2.Join 👉@ComputerScience_MachineLearning https://morioh.com/p/7430d87868f7

Programming, Data Science and Machine Learning Books (Python and R) These books will help you to understand the processes involved in data science workflow and become a data science professional. 1.Join 👉@DeepLearning_ai 2. Join 👉https://www.facebook.com/groups/MachineLearningSource/ 3.Join 👉@ComputerScience_MachineLearning https://towardsdatascience.com/programming-data-science-and-machine-learning-books-python-and-r-bfcc7f47492

How to Solve Any Code Challenge or Algorithm Good code is abstract, so let’s apply that same logic to our problem solving! These steps are not specific and can be applied to most code challenges. (Edsger Dijkstra) 1.Join 👉@DeepLearning_ai 2. Join 👉https://www.facebook.com/groups/MachineLearningSource/ 3.Join 👉@ComputerScience_MachineLearning https://medium.com/swlh/how-to-solve-any-code-challenge-or-algorithm-c66e0bed9dc9

Python Image Processing Tutorial (Using OpenCV) In this tutorial, you will learn how you can process images in Python using the OpenCV library. OpenCV is a free open source library used in real-time image processing. It’s used to process images, videos, and even live streams, but in this tutorial, we will process images only as a first step. Before getting started, let’s install OpenCV. 1.Join 👉@DeepLearning_ai 2. Join 👉https://www.facebook.com/groups/MachineLearningSource/ 3.Join 👉@ComputerScience_MachineLearning https://likegeeks.com/python-image-processing/

Here are 450 Ivy League courses you can take online right now for free. The eight Ivy League schools are among the most prestigious colleges in the world. They include Brown, Harvard, Cornell, Princeton, Dartmouth, Yale, and Columbia Universities, and the University of Pennsylvania. 1.Join 👉@MachineLearning_DeepLearning_ai 2. Join:https://www.facebook.com/groups/MachineLearningSource/ 3.@ComputerScience_MachineLearning https://www.freecodecamp.org/news/here-are-380-ivy-league-courses-you-can-take-online-right-now-for-free-9b3ffcbd7b8c/

Here's 7 statistical & machine learning concepts that you should know for #DataScience: Join: https://t.me/ComputerScience_MachineLearning Join: https://t.me/DeepLearning_ai Join: https://www.facebook.com/groups/MachineLearningSource/ 1. Tree Based Methods a. Decision Trees - https://lnkd.in/gBtCk9G b. Random Forest - https://lnkd.in/g9FkczK c. Gradient Boosting Trees - https://lnkd.in/gFPFGsk 2. Linear (Regularized) Models a. Lasso & Ridge - https://lnkd.in/g3dJT-g b. Linear Regression - https://lnkd.in/g7AS6Ar c. Logistic Regression - https://lnkd.in/gq4EyJc 3. Hypothesis Testing & confidence a. A/B Testing - https://lnkd.in/gmeijHV b. Chi Square Test - https://lnkd.in/gG6vz2T c. Statistical Tests - https://lnkd.in/gJcfTsq 4. Resampling Methods a. Bootstrapping and Bagging - https://lnkd.in/gPmm4by b. Cross Validation - https://lnkd.in/gsfsE6y 5. Clustering K-means https://lnkd.in/gvNsp8N 6. Feature Selection https://lnkd.in/gdCBWpB 7. Evaluation Metrics a. Classification Metrics - https://lnkd.in/gxeyC6n b. Regression Metrics - https://lnkd.in/gj4Eg9p

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