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Firibgarlarga uchmang! Telemetrio bunday kanallarni topadi va belgilaydi πŸ‘‰ Belgini koβ€˜rmoqchi boβ€˜lsangiz, obuna boβ€˜ling

Artificial Intelligence

Artificial Intelligence

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πŸ“ˆ Telegram kanali Artificial Intelligence analitikasi

Artificial Intelligence (@artificial_intelligence_com) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 71 596 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 1 800-o'rinni va Hindiston mintaqasida 4 426-o'rinni egallagan.

πŸ“Š Auditoriya koβ€˜rsatkichlari va dinamika

Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ sanasidan buyon loyiha tez oβ€˜sib, 71 596 obunachiga ega boβ€˜ldi.

27 Oktabr, 2026 dagi oxirgi ma’lumotlarga koβ€˜ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -384 ga, soβ€˜nggi 24 soatda esa -23 ga oβ€˜zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya oβ€˜rtacha 6.09% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.59% ini tashkil etuvchi reaksiyalarni toβ€˜playdi.
  • Post qamrovi: Har bir post oβ€˜rtacha 4 365 marta koβ€˜riladi; birinchi sutkada odatda 1 141 ta koβ€˜rish yigβ€˜iladi.
  • Reaksiyalar va oβ€˜zaro ta’sir: Auditoriya faol: har bir postga oβ€˜rtacha 7 ta reaksiya keladi.
  • Tematik yoβ€˜nalishlar: Kontent learning, linkedin, linux, udemy, 040k| kabi asosiy mavzularga jamlangan.

πŸ“ Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
β€œπŸ”’ Welcome Artificial Intelligence Channel Buy ads: https://telega.io/c/Artificial_Intelligence_COM”

Yuqori yangilanish chastotasi (oxirgi ma’lumot 28 Oktabr, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli boβ€˜lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini koβ€˜rsatadi.

71 596
Obunachilar
-2324 soatlar
-2037 kun
-38430 kun
Postlar arxiv
πŸ“¦ Exercise Files

πŸ“±Artificial Intelligence and Machine Learning πŸ“±AI Workshop: Build a Neural Network with PyTorch Lightning

πŸ”… AI Workshop: Build a Neural Network with PyTorch Lightning πŸ“ Learn how to build a neural network with PyTorch Lightning i
πŸ”… AI Workshop: Build a Neural Network with PyTorch Lightning πŸ“ Learn how to build a neural network with PyTorch Lightning in this interactive, workshop-style coding course. 🌐 Author: Janani Ravi πŸ”° Level: Intermediate ⏰ Duration: 1h 30m πŸ“‹ Topics: PyTorch, Artificial Neural Networks πŸ”— Join Artificial Intelligence and Machine Learning for more courses

πŸ’‘ Important Machine Learning Topics
πŸ’‘ Important Machine Learning Topics

πŸ’‘ The LLM Scientist Roadmap
πŸ’‘ The LLM Scientist Roadmap

πŸ“– Data Science Packages
πŸ“– Data Science Packages

πŸ“±Artificial Intelligence and Machine Learning πŸ“±Machine Learning and AI Foundations: Clustering and Association

πŸ”… Machine Learning and AI Foundations: Clustering and Association πŸ“ Learn how to use cluster analysis, association rules, a
πŸ”… Machine Learning and AI Foundations: Clustering and Association πŸ“ Learn how to use cluster analysis, association rules, and anomaly detection algorithms for unsupervised learning. 🌐 Author: Keith McCormick πŸ”° Level: Intermediate ⏰ Duration: 3h 33m πŸ“‹ Topics: Machine Learning, Artificial Intelligence πŸ”— Join Artificial Intelligence and Machine Learning for more courses

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🀝 Key components of building AI Agents
🀝 Key components of building AI Agents

πŸ“– Data Science Roles and How they Interact
πŸ“– Data Science Roles and How they Interact

🀝 Machine Learning Cheat Sheet
🀝 Machine Learning Cheat Sheet

πŸ“±Artificial Intelligence and Machine Learning πŸ“±Choosing the Right ML Approach for Your Business Case

πŸ”… Choosing the Right ML Approach for Your Business Case πŸ“ Learn the system components of machine learning (ML), their funct
πŸ”… Choosing the Right ML Approach for Your Business Case πŸ“ Learn the system components of machine learning (ML), their function in the AI ecosystem, and how to choose the best approach for your business pipeline. 🌐 Author: Lyron Andrews πŸ”° Level: Intermediate ⏰ Duration: 1h 42m πŸ“‹ Topics: Machine Learning, Artificial Intelligence πŸ”— Join Artificial Intelligence and Machine Learning for more courses

⭐️ Top 15 Machine Learning Algorithms
⭐️ Top 15 Machine Learning Algorithms

πŸ”… PREMIUM CHANNELS -β—¦-β—¦--β—¦--β—¦-β—¦--β—¦--β—¦-β—¦--β—¦--β—¦-β—¦--β—¦- πŸ”° Web Development -β—¦-β—¦--β—¦--β—¦-β—¦--β—¦--β—¦-β—¦-- 221k| πŸ”° Linkedin Learning 138k| πŸ”° Udemy Premium 133k| πŸ”° Web Development -β—¦-β—¦--β—¦- 117k| πŸ”° Python 3 100k| πŸ”° JavaScript Training 088k| πŸ”° Machine Learning -β—¦-β—¦--β—¦- 067k| πŸ”° Artificial Intelligence 067k| πŸ”° Data Analysis and Databases 064k| πŸ”° React and NextJs -β—¦-β—¦--β—¦- 061k| πŸ”° Linux and DevOps 049k| πŸ”° 100 Days of Python 047k| πŸ”° OpenAI Mastery -β—¦-β—¦--β—¦- 047k| πŸ”° Business and Finance 044k| πŸ”° Best Telegram Channels 040k| πŸ”° Udemy Learning -β—¦-β—¦--β—¦- 040k| πŸ”° Zero to Mastery 040k| πŸ”° Mobile Apps 035k| πŸ”° Linkedin Learning Courses -β—¦-β—¦--β—¦- 035k| πŸ”° Codedamn Courses 034k| πŸ”° React 101 031k| πŸ”° Crypto Tutorials -β—¦-β—¦--β—¦- 030k| πŸ”° Coding Interview 025k| πŸ”° Telegram's Shorts 022k| πŸ”° Linux Training -β—¦-β—¦--β—¦- 022k| πŸ”° The Coding Space -β—¦-β—¦--β—¦--β—¦-β—¦--β—¦--β—¦-β—¦-- πŸ”° Add Your Channel -β—¦-β—¦--β—¦--β—¦-β—¦--β—¦--β—¦-β—¦--β—¦--β—¦-β—¦--β—¦- πŸ”° 2hrs on top & 8hrs in channel!

🀝 Data Science Learning Circle
🀝 Data Science Learning Circle

πŸ”— Machine Learning, Simplified Ever wondered what Machine Learning really means and how it impacts your everyday life? ML is
πŸ”— Machine Learning, Simplified Ever wondered what Machine Learning really means and how it impacts your everyday life? ML is not just about fancy algorithmsβ€”it's about how machines learn like humans to make decisions, automate tasks, and personalize your digital experiences. πŸ”βœ¨ Here are real-world use cases you interact with daily: πŸ”Ή Generative AI β†’ ChatGPT, Midjourney πŸ”Ή Speech Recognition β†’ Siri, Alexa πŸ”Ή Computer Vision β†’ Face ID, Self-driving cars πŸ”Ή RPA & Stock Trading Bots β†’ Automating workflows & finance!

πŸ“±Artificial Intelligence and Machine Learning πŸ“±GraphRAG Essential Training

πŸ”… GraphRAG Essential Training πŸ“ Learn how to build robust AI applications by creating knowledge graphs for retrieval-augmen
πŸ”… GraphRAG Essential Training πŸ“ Learn how to build robust AI applications by creating knowledge graphs for retrieval-augmented generation (RAG) in Python using LangChain and Neo4j. 🌐 Author: Dr. Clair Sullivan πŸ”° Level: Intermediate ⏰ Duration: 1h 39m πŸ“‹ Topics: Retrieval-Augmented Generation, Knowledge Graph Augmentation, Knowledge Graphs πŸ”— Join Artificial Intelligence and Machine Learning for more courses