متاح الآن! بحث تيليغرام 2025 — أهم رؤى العام 
Machine Learning with Python
الذهاب إلى القناة على Telegram
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho
إظهار المزيد📈 نظرة تحليلية على قناة تيليجرام Machine Learning with Python
تُعد قناة Machine Learning with Python (@codeprogrammer) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 67 813 مشتركاً، محتلاً المرتبة 2 416 في فئة التعليم والمرتبة 5 038 في منطقة الهند.
📊 مؤشرات الجمهور والحراك
منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 67 813 مشتركاً.
بحسب آخر البيانات بتاريخ 09 يونيو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 70، وفي آخر 24 ساعة بمقدار 10، مع بقاء الوصول العام مرتفعاً.
- حالة التحقق: غير موثّقة
- معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 2.94%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 2.44% من ردود الفعل نسبةً إلى إجمالي المشتركين.
- وصول المنشورات: يحصل كل منشور على متوسط 1 997 مشاهدة. وخلال اليوم الأول يجمع عادةً 1 652 مشاهدة.
- التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 7.
- الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل insidead, learning, degree, evaluation, algorithm.
📝 الوصف وسياسة المحتوى
يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
“Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
Admin: @HusseinSheikho || @Hussein_Sheikho”
بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 10 يونيو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التعليم.
67 813
المشتركون
+1024 ساعات
+127 أيام
+7030 أيام
أرشيف المشاركات
Repost from Machine Learning with Python
This channels is for Programmers, Coders, Software Engineers.
0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣ Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
7️⃣ Deep Learning
8️⃣ programming Languages
✅ https://t.me/addlist/8_rRW2scgfRhOTc0
✅ https://t.me/Codeprogrammer
Gradio: The easiest way to demo your models.
- Core Idea: Quickly turn #ML models into interactive web apps.
- No frontend skills needed. It's all #Python.
- Works with any Python code, including custom functions.
- Share via temporary links or deploy on #HuggingFace Spaces.
- Get user feedback to improve your models.
If you're looking to create interactive demos for your ML project, check out #Gradio!
♻️ Repost if you found this useful
⚡️ BEST DATA SCIENCE CHANNELS ON TELEGRAM 🌟
Perplexity, your favorite AI search tool, has just joined Telegram!
Perplexity is an AI-powered search engine that uses leading AI models and live web search to answer your most complicated questions in real-time — coding-related and not.
Simply DM @askplexbot or add it to your group chat to try it out.
t.me/askplexbot
📕 A Course in Reinforcement Learning by Dimitri P. Bertsekas
Explore the comprehensive world of Reinforcement Learning (RL) with this authoritative textbook by Dimitri P. Bertsekas. This book offers an in-depth overview of RL methodologies, focusing on optimal and suboptimal control, as well as discrete optimization. It's an essential resource for students, researchers, and professionals in the field.
🔗 Download the book here:
https://web.mit.edu/dimitrib/www/RLCOURSECOMPLETE%202ndEDITION.pdf
#ReinforcementLearning #MachineLearning #AI #Bertsekas #FreeEbook #OptimalControl #DynamicProgramming
⚡️ BEST DATA SCIENCE CHANNELS ON TELEGRAM 🌟
🛡️ Mafia OTP Bot – The Ultimate OTP Bypass Solution
✅ Try Before Buy – 2 FREE CALLS to test before you subscribe
🔐 Premium Features:
• ✅ Accept or Reject OTP in-call
• 🏦 Works with Banks, 📧 Emails, 🔐 Wallets, 🔑 2FA
• 🎙️ Dual Voice Options (Male / Female)
• 🤖 Smart Human Detection
• 🎧 Call Recording Enabled
• 🌍 Supports All Languages
• ⚡ Ultra Fast – No need to restart the call
• 💸 Earn 33% Commission for every referral
🤖 Bot Link: CLICK HERE TO START BOT
Follow me on linkedin (important for you)
LinkedIn: https://linkedin.com/comm/mynetwork/discovery-see-all?usecase=PEOPLE_FOLLOWS&followMember=hussein-sheikho-4a8187246
Follow me on linkedin (important for you)
https://www.linkedin.com/in/hussein-sheikho-4a8187246
A Complete Course to Learn Robotics and Perception
Notebook-based book "Introduction to Robotics and Perception" by Frank Dellaert and Seth Hutchinson
github.com/gtbook/robotics
roboticsbook.org/intro.html
#Robotics #Perception #AI #DeepLearning #ComputerVision #RoboticsCourse #MachineLearning #Education #RoboticsResearch #GitHub⚡️ BEST DATA SCIENCE CHANNELS ON TELEGRAM 🌟
📂 8 Steps to Mastering MLOps
✅ For data scientists
⏯️ Introduction to MLOps
📎 MLOps Zoomcamp
📎 Neptune Blog
➖➖➖➖➖➖
2️⃣ Model Management
📎 ML Model Registry
📎 ML Experiment Tracking
📎 Experiment Tracking
➖➖➖➖➖➖
3️⃣ Building a pipeline of models
📎 Building End-to-End ML Pipelines
📎 Orchestration Tools
📎 Orchestration & ML Pipelines
➖➖➖➖➖➖
4️⃣ Monitoring models
📎 Evidently AI Blog
📎 NannyML Blog
📎 Model Monitoring
➖➖➖➖➖➖
5️⃣ Introduction to Docker
📎 Docker Tutorial
➖➖➖➖➖➖
6️⃣ Designing ML systems
📎 Designing ML Systems
📎 ML System Design Patterns
📎 ML System Design Interview
➖➖➖➖➖➖
7️⃣ Sample projects
📎 Evidently AI Database
📎 LLMOps Case Studies
➖➖➖➖➖➖
8️⃣ Comprehensive roadmap
📎 MLOps Roadmap 2024
#MLOps #MachineLearning #DataScience #AI #ModelMonitoring #MLPipelines #Docker #MLSystemDesign #ExperimentTracking #LLMOps #NeuralNetworks #DeepLearning #AITools #MLProjects #MLOpsRoadmap⚡️ BEST DATA SCIENCE CHANNELS ON TELEGRAM 🌟
📢 5-Day Generative AI Intensive Course with #Google is now available as a self-paced Learn Guide!
Access whitepapers, podcasts, code labs, & recorded livestreams. Additionally, there is a bonus assignment for you!
https://www.kaggle.com/learn-guide/5-day-genai
#GenerativeAI #GoogleAI #AICourse #SelfPacedLearning #MachineLearning #DeepLearning #Kaggle #AICommunity #TechEducation #AIforEveryone⚡️ BEST DATA SCIENCE CHANNELS ON TELEGRAM 🌟
Open Guide to Data Structures and Algorithms
A must-read for anyone starting their journey in computer science and programming. This open-access book offers a clear, beginner-friendly introduction to the core concepts of data structures and algorithms, with simple explanations and practical examples. Whether you're a student or a self-learner, this guide is a solid foundation to build your DSA knowledge. Highly recommended for those who want to learn efficiently and effectively.
Read it here:
https://pressbooks.palni.org/anopenguidetodatastructuresandalgorithms
#DSA #Algorithms #DataStructures #ProgrammingBasics #CSforBeginners #OpenSourceLearning #CodingJourney #TechEducation #ComputerScience #PythonBeginners
⚡️ BEST DATA SCIENCE CHANNELS ON TELEGRAM 🌟
📢 Join the SuperWAL Ecosystem – Step into the Real Value of Web3
SuperWAL officially launches the SPL Token Mining program, alongside the WaLGrowth campaign with a total budget of $1,000,000 for early community contributors.
🎯 Opportunities for you:
✅ Mine SPL tokens daily with simple actions
✅ Earn rewards by referring new users
✅ Unlock the WaLX Exchange – a decentralized trading platform with big fund
✅ Get early access to exclusive incentives for first movers
⏳ Opportunities don’t wait.
👉 Join now to get ahead of the trend and maximize your Web3 earnings:
🔗 superwal.io/team
Referral code: Jasperaurora
#SuperWAL #SPLToken #WaLGrowth #Web3Opportunity #CryptoEarnings #DeFiMovement
Datasets Guide 📚
A practical and beginner-friendly guide that walks you through everything you need to know about datasets in machine learning and deep learning. This guide explains how to load, preprocess, and use datasets effectively for training models. It's an essential resource for anyone working with LLMs or custom training workflows, especially with tools like Unsloth.
Importance:
Understanding how to properly handle datasets is a critical step in building accurate and efficient AI models. This guide simplifies the process, helping you avoid common pitfalls and optimize your data pipeline for better performance.
Link: https://docs.unsloth.ai/basics/datasets-guide
#MachineLearning #DeepLearning #Datasets #DataScience #AI #Unsloth #LLM #TrainingData #MLGuide
⚡️ BEST DATA SCIENCE CHANNELS ON TELEGRAM 🌟
🔥ENTER VIP FOR FREE! ENTRY 24 HOURS FREE!
LISA TRADER - most successful trader for 2024. A week ago they finished a marathon in their vip channel where from $100 they made $2000, in just two weeks of time!
Entry to her channel cost : $1500 FOR 24 ENTRY FREE!
JOIN THE VIP CHANNEL NOW!
JOIN THE VIP CHANNEL NOW!
JOIN THE VIP CHANNEL NOW!
Master PyTorch Faster with These Free Resources!
Whether you're just getting started with PyTorch or looking to refresh your deep learning skills, these two resources are all you need:
1. PyTorch Cheatsheet
A concise reference guide packed with essential PyTorch commands and patterns. Perfect for quick look-ups during development.
Download:
https://www.dropbox.com/scl/fi/e4xngykrfoubiw3xnd6fz/PyTorch-Cheatsheet.pdf?rlkey=vgx38ckps7aie120imgozgq4g&e=2&st=hgs06d4t&dl=0
2. Learn PyTorch Deep Learning with Hands-On Code
A beginner-friendly PDF with practical examples to help you build and train deep learning models using PyTorch from scratch.
Download:
https://www.dropbox.com/scl/fi/lfo7r6fnd8wjm3gp0jteh/Learn-PyTorch-Deep-Learning-with-Hands-On-Code.pdf?rlkey=mg9cxg41yerouzp0rklm8hqa2&e=2&st=c7k7rgay&dl=0
Save them, share them, and start building smarter models today!
#PyTorch #DeepLearning #AIResources #MachineLearning #Python #Cheatsheet #HandsOnAI
⚡️ BEST DATA SCIENCE CHANNELS ON TELEGRAM 🌟
If you own a programming channel and want to grow quickly with an audience that loves and is passionate about programming and data science, we have the best solution for you.
List your channel in your sharing folder for $20 per month.
https://t.me/addlist/8_rRW2scgfRhOTc0
We guarantee you high results
We only accept channels related to programming, data science, and web development.
Contact me @HusseinSheikho
Foundations of Large Language Models
Download it: https://readwise-assets.s3.amazonaws.com/media/wisereads/articles/foundations-of-large-language-/2501.09223v1.pdf
#LLM #AIresearch #DeepLearning #NLP #FoundationModels #MachineLearning #LanguageModels #ArtificialIntelligence #NeuralNetworks #AIPaper
