现已上线！2025 年 Telegram 研究 — 年度关键洞察 
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
显示更多📈 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 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 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 天
-14430 天
帖子存档
16 133
Suppose we would like to perform clustering on spatial data such as the geometrical locations of houses. We wish to produce clusters of many different sizes and shapes. Which of the following methods is the most appropriate?
16 133
The search algorithm which is similar to the minimax search, but removes the branches that don't affect the final output is known as__
16 133
Classification problems are distinguished from estimation problems in that
16 133
Handwritten notes of machine learning
https://www.linkedin.com/posts/data-spoof_handwritten-notes-on-machine-learning-activity-6773890970741202944-rG2R
16 133
In following type of feature selection method we start with empty feature set
16 133
More than 70+ cheatsheets related to data science, machine learning, deep learning and computer vision in python and R programming language.
https://www.theinsaneapp.com/2020/12/machine-learning-and-data-science-cheat-sheets-pdf.html
16 133
Curated papers, articles, and blogs on data science & machine learning in production.
https://github.com/eugeneyan/applied-ml
16 133
Transforming Brain Waves into Words with AI
New research out of the University of California, San Francisco has given a paralyzed man the ability to communicate by translating his brain signals into computer generated writing. The study, published in The New England Journal of Medicine, marks a significant milestone toward restoring communication for people who have lost the ability to speak.
https://www.ucsf.edu/news/2021/07/420946/neuroprosthesis-restores-words-man-paralysis
