ch
Feedback
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

显示更多
Machinelearning网络:Machinelearning俄罗斯15 220技术与应用3 224

📈 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 41 788 名订阅者，在 技术与应用 类别中位列第 3 224，并在 俄罗斯 地区排名第 15 220 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 41 788 名订阅者。

根据 29 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 -138，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 6.03%。内容发布后 24 小时内通常能获得 2.45% 的反应，占订阅者总量。
  • 帖子覆盖： 每篇帖子平均可获得 2 520 次浏览，首日通常累积 1 024 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 30 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。

41 788
订阅者
-2324 小时
-747 天
-13830 天
帖子存档
Data Science
Data Science
41 788

Data Science
Data Science
41 788
​​#book_of_the_day The Future of Machine Intelligence: Perspectives from Leading Practitioners Advances in both theory and practice are throwing the promise of machine learning into sharp relief. The field has the potential to transform a range of industries, from self-driving cars to intelligent business applications. Yet machine learning is so complex and wide-ranging that even its definition can change from one person to the next. The series of interviews in this exclusive report unpack concepts and innovations that represent the frontiers of ever-smarter machines. You’ll get a rare glimpse into this exciting field through the eyes of some of its leading minds.

Data Science
Data Science
41 788

Data Science
Data Science
41 788

Data Science
Data Science
41 788

Data Science
Data Science
41 788
​​#book_of_the_day Rethinking the Internet of Things: A Scalable Approach to Connecting Everything This book provides an excellent introduction to design, complexity and issues surrounding future usage and deployment of the Internet of Things (IoT). It also provides interesting concepts on using edge gateways and streaming data from small set of devices instead of doing bulk processing on edge gateway or cloud. Over the next decade, most devices connected to the Internet will not be used by people in the familiar way that personal computers, tablets and smart phones are. Billions of interconnected devices will be monitoring the environment, transportation systems, factories, farms, forests, utilities, soil and weather conditions, oceans and resources. Many of these sensors and actuators will be networked into autonomous sets, with much of the information being exchanged machine-to-machine directly and without human involvement. Machine-to-machine communications are typically terse. Most sensors and actuators will report or act upon small pieces of information - "chirps". Burdening these devices with current network protocol stacks is inefficient, unnecessary and unduly increases their cost of ownership.

Data Science
Data Science
41 788

Data Science
Data Science
41 788

Data Science
Data Science
41 788

Data Science
Data Science
41 788

Data Science
Data Science
41 788

Data Science
Data Science
41 788

Data Science
Data Science
41 788

Data Science
Data Science
41 788

Data Science
Data Science
41 788

Data Science
Data Science
41 788

Data Science
Data Science
41 788

Data Science
Data Science
41 788

Data Science
Data Science
41 788

Data Science
Data Science
41 788