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Machine learning books and papers

Machine learning books and papers

前往频道在 Telegram

📈 Telegram 频道 Machine learning books and papers 的分析概览

频道 Machine learning books and papers (@machine_learn) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 24 509 名订阅者,在 教育 类别中位列第 8 014,并在 伊朗 地区排名第 13 742

📊 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 24 509 名订阅者。

根据 06 七月, 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 -100,过去 24 小时变化为 1,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 6.32%。内容发布后 24 小时内通常能获得 2.04% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 1 548 次浏览,首日通常累积 500 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 2
  • 主题关注点: 内容集中在 disorder, psy, مقاله, framework, graph 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:
Admin: @Raminmousa ID: @Machine_learn link: https://t.me/Machine_learn

凭借高频更新(最新数据采集于 07 七月, 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。

24 509
订阅者
+124 小时
+17
-10030
帖子存档
Machine Learning Logistics Model Management in the Real World Copyright © 2017 O’Reilly Media. @Machine_learn
Machine Learning Logistics Model Management in the Real World Copyright © 2017 O’Reilly Media. @Machine_learn

Analyzing the Analyzers An Introduction Survey of Data Scientists and Their work Copyright © 2013 Harlan D. Harris, Sean Patrick Murphy, and Marck Vaisman. #books @Machine_learn

Analyzing the Analyzers An Introduction Survey of Data Scientists and Their work Copyright © 2013 Harlan D. Harris, Sean Patr
Analyzing the Analyzers An Introduction Survey of Data Scientists and Their work Copyright © 2013 Harlan D. Harris, Sean Patrick Murphy, and Marck Vaisman. #books @Machine_learn

#machine_learning_Tom_Mitchell #book @Machine_learn

Python Machine Learning Cookbook #books @Machine_learn

Python Machine Learning Cookbook #books @Machine_learn
Python Machine Learning Cookbook #books @Machine_learn

#cnn_text_classification #code @Machine_learn

#cnn_text_classification #paper @Machine_learn

#How_brains_make_up_their_minds #book @Machine_learn

#How_brains_make_up_their_minds #book @Machine_learn
#How_brains_make_up_their_minds #book @Machine_learn

#python _springer #book @Machine_learn

Sentiment Analysis Mining Opinions, Sentiments, and Emotions #books @Machine_learn

Sentiment Analysis Mining Opinions, Sentiments, and Emotions #books @Machine_learn
Sentiment Analysis Mining Opinions, Sentiments, and Emotions #books @Machine_learn

#KNIME_Essentials #books @Machine_learn

#KNIME_Essentials #books @Machine_learn
#KNIME_Essentials #books @Machine_learn

Mining of Massive Datasets #book @Machine_learn

Mining of Massive Datasets #book @Machine_learn
Mining of Massive Datasets #book @Machine_learn

#Text_mining #book @Machine_learn

#Text_mining #book @Machine_learn
#Text_mining #book @Machine_learn

#Building_Data_Science_Teams #book @Machine_learn