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Artificial Intelligence

Artificial Intelligence

前往频道在 Telegram

🔒 Welcome Artificial Intelligence Channel Buy ads: https://telega.io/c/Artificial_Intelligence_COM

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📈 Telegram 频道 Artificial Intelligence 的分析概览

频道 Artificial Intelligence (@artificial_intelligence_com) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 72 438 名订阅者,在 技术与应用 类别中位列第 1 720,并在 印度 地区排名第 4 355

📊 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 72 438 名订阅者。

根据 29 八月, 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 444,过去 24 小时变化为 -27,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 6.56%。内容发布后 24 小时内通常能获得 1.90% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 4 757 次浏览,首日通常累积 1 374 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 11
  • 主题关注点: 内容集中在 learning, linkedin, linux, udemy, 040k| 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:
🔒 Welcome Artificial Intelligence Channel Buy ads: https://telega.io/c/Artificial_Intelligence_COM

凭借高频更新(最新数据采集于 30 八月, 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。

72 438
订阅者
-2724 小时
-807
+44430
帖子存档
🖥 Machine Learning Time Complexity
🖥 Machine Learning Time Complexity

Here are 5 beginner-to-advanced AI projects that will actually teach you the skills companies are hiring for: 1️⃣ Synthetic m
Here are 5 beginner-to-advanced AI projects that will actually teach you the skills companies are hiring for: 1️⃣ Synthetic medical records with GANs 2️⃣ Image generation with GANs 3️⃣ Creative text generation with LLMs 4️⃣ Building AI agents with CrewAI 5️⃣ Multimodal AI models

📱Machine Learning 📱AI Workshop: Building AI Applications with Hugging Face Models

🔅 AI Workshop: Building AI Applications with Hugging Face Models 📝 Learn to develop AI applications for sentiment analysis,
🔅 AI Workshop: Building AI Applications with Hugging Face Models 📝 Learn to develop AI applications for sentiment analysis, object detection, and speech recognition using Hugging Face's advanced models in this hands-on, project-based course. 🌐 Author: Dhhyey Desai 🔰 Level: Intermediate ⏰ Duration: 34m 📋 Topics: AI Software Development, Applied Machine Learning 🔗 Join Machine Learning for more courses

Confusion matrix is one of the important topic in machine learning because matrix like precision, recall and f1 score is calc
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Confusion matrix is one of the important topic in machine learning because matrix like precision, recall and f1 score is calculated using it's values.

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37 - Model Selection.zip260.40 MB

--- Part 10: Model Selection & Boosting ---

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34 - Principal Component Analysis (PCA).zip192.40 MB

--- Part 9: Dimensionality Reduction ---

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31 - Deep Learning.zip42.02 MB

--- Part 8: Deep Learning ---

30 - Natural Language Processing.zip554.77 MB

--- Part 7: Natural Language Processing ---

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28 - Upper Confidence Bound (UCB).zip429.46 MB

--- Part 6: Reinforcement Learning ---

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26 - Apriori.zip400.42 MB

--- Part 5: Association Rule Learning ---

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24 - K-Means Clustering.zip55.52 MB

--- Part 4: Clustering ---

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14 - Classification.zip7.59 MB