现已上线！2025 年 Telegram 研究 — 年度关键洞察 📊 获取研究报告 👉

最近验证的频道：

ch

AI and Machine Learning

前往频道在 Telegram

Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more! Buy ads: https://telega.io/c/machine_learning_courses

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印度3 005 教育1 547...

📈 Telegram 频道 AI and Machine Learning 的分析概览

频道 AI and Machine Learning (@machine_learning_courses) 英语语言赛道中的是活跃参与者。目前社区聚集了 94 098 名订阅者，在教育类别中位列第 1 547，并在印度地区排名第 3 005 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 94 098 名订阅者。

根据 26 六月, 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 965，过去 24 小时变化为 37，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 6.79%。内容发布后 24 小时内通常能获得 2.34% 的反应，占订阅者总量。
帖子覆盖： 每篇帖子平均可获得 6 384 次浏览，首日通常累积 2 203 次浏览。
互动与反馈： 受众积极参与，单帖平均反应数为 9。
主题关注点： 内容集中在 learning, llm, linkedin, linux, udemy 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：
“Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more! Buy ads: https://telega.io/c/machine_learning_courses”

凭借高频更新（最新数据采集于 27 六月, 2026），频道始终保持新鲜度与高覆盖。分析显示受众积极互动，使其成为教育类别中的关键影响点。

94 098

订阅者

+3724 小时

+2267 天

+96530 天

6 384

帖子浏览量

~ 2 20324 小时

~ 2 91648 小时

6.79%

参与率

~ 1

每日帖子数

帖子存档

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ChatGPT Telegram Bot: GPT-4o. Fast. No daily limits. Group Chat support (/help_group_chat to get instructions) Voice message recognition Code highlighting. Write code with AI! 15 special chat modes: 👩🏼‍🎓 Assistant, 👩🏼‍💻 Code Assistant, 👩‍🎨 Artist, 🧠 Psychologist, 🚀 Elon Musk and other

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#meme

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+1

ChatGPT Telegram Bot: GPT-4o. Fast. No daily limits. Group Chat support (/help_group_chat to get instructions) Voice message recognition Code highlighting. Write code with AI! 15 special chat modes: 👩🏼‍🎓 Assistant, 👩🏼‍💻 Code Assistant, 👩‍🎨 Artist, 🧠 Psychologist, 🚀 Elon Musk and other

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📱Machine Learning and Artificial intelligence 📱Introduction to MLSecOps

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🔅 Introduction to MLSecOps 🌐 Author: Diana Kelley 🔰 Level: Intermediate ⏰ Duration: 1h 2m

🌀 Learn how to build security into your machine learning and AI lifecycles with MLSecOps.

📗 Topics: MLOps, Security Operations, Machine Learning 📤 Join Machine Learning and Artificial intelligence for more courses

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Getting into neural networks: a massive, detailed Deep Learning textbook has been released 💬 Inside you'll find everything essential about models: what transformers are, how image generation works, and much more. To reinforce the learning, there are 60 exercises in Python Notebook available on the website — link 😎

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🧠 Machine Learning Roadmap

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📦 Exercise Files

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📱Machine Learning and Artificial intelligence 📱Applied Machine Learning: Ensemble Learning

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🔅 Applied Machine Learning: Ensemble Learning 🌐 Author: Derek Jedamski 🔰 Level: Intermediate ⏰ Duration: 2h 25m

🌀 Explore how to make powerful, accurate predictions with ensemble learners, one of the most common classes of machine learning algorithms.

📗 Topics: Applied Machine Learning 📤 Join Machine Learning and Artificial intelligence for more courses

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