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Machine Learning with Python

Machine Learning with Python

前往频道在 Telegram

Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho

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📈 Telegram 频道 Machine Learning with Python 的分析概览

频道 Machine Learning with Python (@codeprogrammer) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 67 810 名订阅者,在 教育 类别中位列第 2 412,并在 印度 地区排名第 5 047

📊 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 67 810 名订阅者。

根据 08 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 50,过去 24 小时变化为 -5,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 2.79%。内容发布后 24 小时内通常能获得 2.60% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 1 895 次浏览,首日通常累积 1 764 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 7
  • 主题关注点: 内容集中在 insidead, learning, degree, evaluation, algorithm 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 Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho

凭借高频更新(最新数据采集于 09 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。

67 810
订阅者
-524 小时
+227
+5030
帖子存档
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▶️ What tensors are and why they are needed ▶️ Tensor initialization: zeros, ones, random, similar size ▶️ Type conversion and switching between NumPy and PyTorch ▶️ Arithmetic, logical operations, tensor comparison ▶️ Matrix multiplication and batch computations ▶️ Broadcasting, view(), reshape(), changing dimensions ▶️ Indexing and slicing: how to access parts of a tensor ▶️ Notebook with code examples
A good starting material to understand the mechanics of tensors before moving on to models and training. ⛓ GitHub link tags: #useful @codeprogrammer

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