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前往频道在 Telegram

DS По всем вопросам- @haarrp @ai_machinelearning_big_data - machine learning @pythonl - Python @itchannels_telegram - 🔥 best it channels @ArtificialIntelligencedl - AI @pythonlbooks-📚 @programming_books_it -📚 Реестр РКН: https://clck.ru/3Fk3zS

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Machinelearning网络:Machinelearning俄罗斯15 203技术与应用3 211

📈 Telegram 频道 Data Science 的分析概览

频道 Data Science (@datascienceiot) 是活跃参与者。目前社区聚集了 41 817 名订阅者，在 技术与应用 类别中位列第 3 211，并在 俄罗斯 地区排名第 15 203 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 41 817 名订阅者。

根据 27 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 -102，过去 24 小时变化为 4，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 5.68%。内容发布后 24 小时内通常能获得 2.42% 的反应，占订阅者总量。
  • 帖子覆盖： 每篇帖子平均可获得 2 374 次浏览，首日通常累积 1 011 次浏览。
  • 互动与反馈： 受众积极参与，单帖平均反应数为 0。
  • 主题关注点： 内容集中在 llm, агентов, api, октября, разработчиков 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：
“DS По всем вопросам- @haarrp @ai_machinelearning_big_data - machine learning @pythonl - Python @itchannels_telegram - 🔥 best it channels @ArtificialIntelligencedl - AI @pythonlbooks-📚 @programming_books_it -📚 Реестр РКН: https://clck.ru/3...”

凭借高频更新（最新数据采集于 28 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 技术与应用 类别中的关键影响点。

41 817
订阅者
+424 小时
-627 天
-10230 天
帖子存档
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41 816
Git Essentials @datascienceiot

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@yegor256news is an author's English-speaking channel by Yegor Bugayenko, a programmer, blogger, author of Elegant Objects, c
@yegor256news is an author's English-speaking channel by Yegor Bugayenko, a programmer, blogger, author of Elegant Objects, creator of Zerocracy platform and a regular speaker at many major IT-conferences; subscribe and follow his publications!

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Algorithms for Dummies @datascienceiot

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Practical Automated Machine Learning on Azure: Using Azure Machine Learning to Quickly Build AI Solutions @datascienceiot

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Clever Algorithms @datascienceiot

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Internet of Things and Data Analytics Handbook @datascienceiot

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Mining Social Media: Finding Stories in Internet Data (2019) @datascienceiot
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Comprehensive guide on Machine Learning @datascienceiot
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Gray Hat C#: A Hacker's Guide to Creating and Automating Security Tools @datascienceiot
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Guide to Natural Language Processing Github @datascienceiot
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Python Programming for Biology: Bioinformatics and Beyond @pythonl

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KB – Neural Data Mining with Python @datascienceiot
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Machine Learning Yearning An Amazing Book By Andrew Ng @datascienceiot
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Mastering Natural Language Processing with Python Github @datascienceiot
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Python Deep Learning, Second Edition - 2019 Github @datascienceiot
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Python Web Scraping @pythonl

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Learning Internet of Things @datascienceiot

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Python for Data Analysis, 2nd edition - 2019 @datascienceiot

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Generative Adversarial Networks with python @datascienceiot

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Practical Data Science with Python 3: Synthesizing Actionable Insights from - 2019 @datascienceiot