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DataSpoof

DataSpoof

前往频道在 Telegram

Learn Data Science https://dataspoof4081.graphy.com/membership Artificial Intelligence Machine Learning Data Science Deep learning Computer vision NLP Big data

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📈 Telegram 频道 DataSpoof 的分析概览

频道 DataSpoof (@dataspoof) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 16 133 名订阅者,在 教育 类别中位列第 12 548,并在 印度 地区排名第 26 541

📊 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 16 133 名订阅者。

根据 22 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 -144,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 7.89%。内容发布后 24 小时内通常能获得 N/A% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 0 次浏览,首日通常累积 0 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 0
  • 主题关注点: 内容集中在 api, llm, pipeline, +9183182, engineer 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 https://dataspoof4081.graphy.com/membership Artificial Intelligence Machine Learning Data Science Deep learning Computer vision NLP Big data

凭借高频更新(最新数据采集于 23 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。

16 133
订阅者
-524 小时
-277
-14430
帖子存档
DataSpoof
16 133
All the 441 emails is send to the participants
All the 441 emails is send to the participants

DataSpoof
16 133
https://twitter.com/Abhi007si/status/1372609273209888769?s=19 Follow us on Twitter for latest news on artificial intelligence

DataSpoof
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GIVEAWAY ALERT 📢🚨 Handwritten notes of AI, deep learning and Computer vision books by Adrian Rosebrock for free. Giveaway will be distributed on 20th March. https://forms.gle/zBGs3cQmgokQdqG88 Ignore if already filled

DataSpoof
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Term Frequency-Inverse Document Frequency (TFIDF): is a numerical methodology represents how the word is important to document in a collection of document

DataSpoof
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sql cheat sheet .pdf3.58 KB

DataSpoof
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For short notes on data science, machine learning and deep learning. More than 10000+ data science students. Check out our insta www.instagram.com/dataspoof

DataSpoof
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Amazon web services cheatsheet to deploy ml applications
Amazon web services cheatsheet to deploy ml applications

DataSpoof
16 133
Machine learning notes.pdf12.45 MB

DataSpoof
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Excel Cheat Sheet Follow DataSpoof for more-1.pdf1.42 MB

DataSpoof
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Perception------Data Science Jobs will go away with automated AI & ML Reality------- Yes, there will be automation but only a subset of standardized tasks will be automated, which are less 10% of the work. Some of the biggest challenges in data science will still need a human. Solving for unique business problems, making realistic assumptions, having historical analogy and context, and removing biases will still need a human. If anything automation will actually have the opposite effect with less grunt work for data scientists and more productivity. When automation was introduced to software engineering domain, the demand for engineers only grew. If anything, the industry will have higher demand for this skill set 📈

DataSpoof
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Code generation using machine learning

DataSpoof
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Email is send to all the participants. Check the spam folder and promotional folder

DataSpoof
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photo content

DataSpoof
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https://twitter.com/Abhi007si/status/1367338954756816896?s=19 Follow us on Twitter for more AI and tech news.

DataSpoof
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photo content

DataSpoof
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The top 10 computer vision papers in 2020 with video demos, articles, code, and paper reference. https://www.kdnuggets.com/2021/01/top-10-computer-vision-papers-2020.html