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Data Science

Data Science

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15 276技术与应用3 222

📈 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 41 823 名订阅者，在 技术与应用 类别中位列第 3 222，并在 俄罗斯 地区排名第 15 276 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 41 823 名订阅者。

根据 25 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 -111，过去 24 小时变化为 -6，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 6.17%。内容发布后 24 小时内通常能获得 2.48% 的反应，占订阅者总量。
  • 帖子覆盖： 每篇帖子平均可获得 2 579 次浏览，首日通常累积 1 037 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 26 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。

41 823
订阅者
-624 小时
-707 天
-11130 天
帖子存档
Data Science
Data Science
41 813
R and Python for oceanographers ⬇️ Book @datascienceiot
R and Python for oceanographers ⬇️ Book @datascienceiot

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41 813
Hands-On Python Natural Language Processing - 2020 📖 Github @datascienceiot
Hands-On Python Natural Language Processing - 2020 📖 Github @datascienceiot

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Genomics in the Cloud: Using Docker, GATK, and WDL in Terra (2021) Github @datascienceiot
Genomics in the Cloud: Using Docker, GATK, and WDL in Terra (2021) Github @datascienceiot

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Python for Algorithmic Trading: From Idea to Cloud Deployment Yves Hilpisch (2021) ⬇️ Download @datascienceiot
Python for Algorithmic Trading: From Idea to Cloud Deployment Yves Hilpisch (2021) ⬇️ Download @datascienceiot

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Python Data Analysis, Third Edition - 2021 📖 Book @datascienceiot
Python Data Analysis, Third Edition - 2021 📖 Book @datascienceiot

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41 813
Ultimate Step by Step Guide to Machine Learning Using Python - 2020 @datascienceiot

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📘 D2L.ai: Interactive Deep Learning Book with Multi-Framework Code, Math, and Discussions Github: https://github.com/d2l-ai/d2l-en Book: https://d2l.ai/ Paper: https://arxiv.org/abs/2106.11342v1 @ai_machinelearning_big_data

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Data Mining. Practical Machine Learning Tools and Techniques, Fourth Edition @datascienceiot

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Advanced Applied Deep Learning: Convolutional Neural Networks and Object Detection - 2019 @datascienceiot

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Math for Programmers, Version 10 - 2020 @datascienceiot

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Beginning Machine Learning in the Browser (2021) @datascienceiot

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Deep Learning. A Visual Apporoach @datascienceiot

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Hands-On Simulation Modeling with Python - 2020 @datascienceiot

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Applied Natural Language Processing in the Enterprise @datascienceiot

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Advanced Analytics in Power BI with R and Python: Ingesting,Transforming, Visualizing - 2020 @datascienceiot

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Probabilistic Deep Learning (2020) @datascienceiot

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Representation Learning for Natural Language Processing (2020) @datascienceiot

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Python Bootcamp: Exercises and Projects (2021) ⬇️ Download @datascienceiot
Python Bootcamp: Exercises and Projects (2021) ⬇️ Download @datascienceiot

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Python Machine Learning. Scikit-Learn and TensorFlow @datascienceiot

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Python Continuous Integration and Delivery: A Concise Guide with Examples @datascienceiot