AI and Machine Learning
前往频道在 Telegram
Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more! Buy ads: https://telega.io/c/machine_learning_courses
显示更多📈 Telegram 频道 AI and Machine Learning 的分析概览
频道 AI and Machine Learning (@machine_learning_courses) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 94 096 名订阅者,在 教育 类别中位列第 1 545,并在 印度 地区排名第 3 004 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 94 096 名订阅者。
根据 27 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 939,过去 24 小时变化为 13,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 7.04%。内容发布后 24 小时内通常能获得 2.49% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 6 621 次浏览,首日通常累积 2 343 次浏览。
- 互动与反馈: 受众积极参与,单帖平均反应数为 9。
- 主题关注点: 内容集中在 learning, llm, linkedin, linux, udemy 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 Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more!
Buy ads: https://telega.io/c/machine_learning_courses”
凭借高频更新(最新数据采集于 28 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。
94 096
订阅者
+1324 小时
+2397 天
+93930 天
帖子存档
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📱Machine Learning and Artificial intelligence
📱Advanced NLP with Python for Machine Learning (2020)
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🔅 Advanced NLP with Python for Machine Learning (2020)
🌐 Author: Derek Jedamski
🔰 Level: Advanced
⏰ Duration: 2h 9m
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Build upon your foundational knowledge of natural language processing (NLP) by exploring more complex topics such as word2vec, doc2vec, and recurrent neural networks.
📗 Topics: Natural Language Processing, Machine Learning, Python
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📱Machine Learning and Artificial intelligence
📱Applied AI: Building NLP Apps with Hugging Face Transformers
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🔅 Applied AI: Building NLP Apps with Hugging Face Transformers
🌐 Author: Kumaran Ponnambalam
🔰 Level: Intermediate
⏰ Duration: 57m
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Learn how to build natural language processing (NLP) applications with pretrained transformers in Hugging Face, the popular machine learning platform.
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📱Machine Learning and Artificial intelligence
📱Deep Learning Foundations: Natural Language Processing with TensorFlow
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🔅 Deep Learning Foundations: Natural Language Processing with TensorFlow
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Repost from Linkedin Learning
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现已上线!2025 年 Telegram 研究 — 年度关键洞察 
