Artificial Intelligence
前往频道在 Telegram
🔒 Welcome Artificial Intelligence Channel Buy ads: https://telega.io/c/Artificial_Intelligence_COM
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网络:📈 Telegram 频道 Artificial Intelligence 的分析概览
频道 Artificial Intelligence (@artificial_intelligence_com) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 71 596 名订阅者，在 技术与应用 类别中位列第 1 800，并在 印度 地区排名第 4 426 位。
📊 受众指标与增长动态
自 невідомо 创建以来，项目保持高速增长，吸引了 71 596 名订阅者。
根据 27 十月, 2026 的最新数据，频道保持稳定运转。过去 30 天订阅人数变化为 -384，过去 24 小时变化为 -23，整体触达仍然可观。
- 认证状态： 未认证
- 互动率 (ER)： 平均受众互动率为 6.09%。内容发布后 24 小时内通常能获得 1.59% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 4 365 次浏览，首日通常累积 1 141 次浏览。
- 互动与反馈： 受众积极参与，单帖平均反应数为 7。
- 主题关注点： 内容集中在 learning, linkedin, linux, udemy, 040k| 等核心主题上。
📝 描述与内容策略
作者将该频道定位为表达主观观点的平台：
“🔒 Welcome Artificial Intelligence Channel
Buy ads: https://telega.io/c/Artificial_Intelligence_COM”
凭借高频更新（最新数据采集于 28 十月, 2026），频道始终保持新鲜度与高覆盖。分析显示受众积极互动，使其成为 技术与应用 类别中的关键影响点。
71 596
订阅者
-2324 小时
-2037 天
-38430 天
帖子存档
71 596
📱Artificial Intelligence and Machine Learning
📱AI Workshop: Build a Neural Network with PyTorch Lightning
71 596
🔅 AI Workshop: Build a Neural Network with PyTorch Lightning
📝 Learn how to build a neural network with PyTorch Lightning in this interactive, workshop-style coding course.
🌐 Author: Janani Ravi
🔰 Level: Intermediate
⏰ Duration: 1h 30m
📋 Topics: PyTorch, Artificial Neural Networks
🔗 Join Artificial Intelligence and Machine Learning for more courses
71 596
📱Artificial Intelligence and Machine Learning
📱Machine Learning and AI Foundations: Clustering and Association
71 596
🔅 Machine Learning and AI Foundations: Clustering and Association
📝 Learn how to use cluster analysis, association rules, and anomaly detection algorithms for unsupervised learning.
🌐 Author: Keith McCormick
🔰 Level: Intermediate
⏰ Duration: 3h 33m
📋 Topics: Machine Learning, Artificial Intelligence
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71 596
🔅 PREMIUM CHANNELS
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118k| 🔰 Python 3
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061k| 🔰 Linux and DevOps
049k| 🔰 100 Days of Python
048k| 🔰 OpenAI Mastery
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047k| 🔰 Business and Finance
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040k| 🔰 Udemy Learning
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040k| 🔰 Zero to Mastery
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🔰 2hrs on top & 8hrs in channel!
71 596
📱Artificial Intelligence and Machine Learning
📱Choosing the Right ML Approach for Your Business Case
71 596
🔅 Choosing the Right ML Approach for Your Business Case
📝 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
🔰 Level: Intermediate
⏰ Duration: 1h 42m
📋 Topics: Machine Learning, Artificial Intelligence
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71 596
🔅 PREMIUM CHANNELS
-◦-◦--◦--◦-◦--◦--◦-◦--◦--◦-◦--◦-
🔰 Web Development
-◦-◦--◦--◦-◦--◦--◦-◦--
221k| 🔰 Linkedin Learning
138k| 🔰 Udemy Premium
133k| 🔰 Web Development
-◦-◦--◦-
117k| 🔰 Python 3
100k| 🔰 JavaScript Training
088k| 🔰 Machine Learning
-◦-◦--◦-
067k| 🔰 Artificial Intelligence
067k| 🔰 Data Analysis and Databases
064k| 🔰 React and NextJs
-◦-◦--◦-
061k| 🔰 Linux and DevOps
049k| 🔰 100 Days of Python
047k| 🔰 OpenAI Mastery
-◦-◦--◦-
047k| 🔰 Business and Finance
044k| 🔰 Best Telegram Channels
040k| 🔰 Udemy Learning
-◦-◦--◦-
040k| 🔰 Zero to Mastery
040k| 🔰 Mobile Apps
035k| 🔰 Linkedin Learning Courses
-◦-◦--◦-
035k| 🔰 Codedamn Courses
034k| 🔰 React 101
031k| 🔰 Crypto Tutorials
-◦-◦--◦-
030k| 🔰 Coding Interview
025k| 🔰 Telegram's Shorts
022k| 🔰 Linux Training
-◦-◦--◦-
022k| 🔰 The Coding Space
-◦-◦--◦--◦-◦--◦--◦-◦--
🔰 Add Your Channel
-◦-◦--◦--◦-◦--◦--◦-◦--◦--◦-◦--◦-
🔰 2hrs on top & 8hrs in channel!
71 596
🔗 Machine Learning, Simplified
Ever wondered what Machine Learning really means and how it impacts your everyday life?
ML is not just about fancy algorithms—it's about how machines learn like humans to make decisions, automate tasks, and personalize your digital experiences. 🔍✨
Here are real-world use cases you interact with daily:
🔹 Generative AI → ChatGPT, Midjourney
🔹 Speech Recognition → Siri, Alexa
🔹 Computer Vision → Face ID, Self-driving cars
🔹 RPA & Stock Trading Bots → Automating workflows & finance!
71 596
🔅 GraphRAG Essential Training
📝 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
🔰 Level: Intermediate
⏰ Duration: 1h 39m
📋 Topics: Retrieval-Augmented Generation, Knowledge Graph Augmentation, Knowledge Graphs
🔗 Join Artificial Intelligence and Machine Learning for more courses
