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Computer Science and Programming

Computer Science and Programming

前往频道在 Telegram

Channel specialized for advanced topics of: * Artificial intelligence, * Machine Learning, * Deep Learning, * Computer Vision, * Data Science * Python Admin: @otchebuch Memes: @memes_programming Ads: @Source_Ads, https://telega.io/c/computer_science

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📈 Telegram 频道 Computer Science and Programming 的分析概览

频道 Computer Science and Programming (@computer_science_and_programming) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 142 510 名订阅者,在 技术与应用 类别中位列第 814,并在 意大利 地区排名第 87

📊 受众指标与增长动态

невідомо 创建以来,项目保持高速增长,吸引了 142 510 名订阅者。

根据 18 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 -1 227,过去 24 小时变化为 -56,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 5.75%。内容发布后 24 小时内通常能获得 1.99% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 8 193 次浏览,首日通常累积 2 838 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 15
  • 主题关注点: 内容集中在 sellerflash, github, developer, pricing, waybienad 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:
Channel specialized for advanced topics of: * Artificial intelligence, * Machine Learning, * Deep Learning, * Computer Vision, * Data Science * Python Admin: @otchebuch Memes: @memes_programming Ads: @Source_Ads, https://telega.io/c/computer_sc...

凭借高频更新(最新数据采集于 19 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。

142 510
订阅者
-5624 小时
-3197
-1 22730
帖子存档
Neural Style Transfer: Creating Art with Deep Learning using tf.keras and eager execution

MultiTracker : Multiple Object Tracking using OpenCV (C++/Python)

Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data

Cutting-Edge Face Recognition is Complicated. These Spreadsheets Make it Easier.

Socket Programming in Python (Guide)

Computer Vision News (1).pdf4.03 MB

Computer vision news fron RSIP Vision. August 2018

Python for Secret Agents (en).pdf1.41 MB

Python for Secret Agents – Steven F. Lott (en) 2014 Analyzing, coding, decoding information in Python

Computer Vision, the OpenCV library has 8 (yes, eight!) different algorithms used for robust Object Tracking. After applying Object Detection (typically via YOLO, Faster R-CNN, SSD, etc.), you can then utilize an Object Tracker to uniquely label and track an object in a video stream.

The Algorithms - Python All algorithms implemented in Python (for education)