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
16 134
Thanks everyone now we are community of 50k data science community.
Want to learn data science and machine learning in casual short notes format.
Follow @dataspoof
www.instagram.com/dataspoof
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How Uber works
With a huge database of drivers, as soon as a user requests for car, their algorithms match a user with the most suitable driver within a 15 second window to the nearest driver. Uber stores and analyses data on every single trip the users take which is leveraged to predict the demand for cars, set the fares and allocate sufficient resources. Data science team at Uber also performs in-depth analysis of the public transport networks across different cities so that they can focus on cities that have poor transportation and make the best use of the data to enhance customer service experience.
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Which of the following statements is correct regarding the object-oriented programming concept in Python?
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Machine Learning has various function representation, which of the following is not function of symbolic?
16 134
Which of the following statements is true when you use 1×1 convolutions in a CNN?
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Those who haven't follow us on Instagram. Soon the giveaway will be announced on the Instagram story
https://www.instagram.com/p/CXEBmt8PQPR/?utm_medium=copy_link
16 134
Which of the following offsets, do we use in linear regression’s least square line fit? Suppose horizontal axis is independent variable and vertical axis is dependent variable.
16 134
What kind of learning algorithm for “Facial identities or facial expressions”?
16 134
Which of the following statements is true when you use 1×1 convolutions in a CNN?
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What are the three stages to build the hypotheses or model in machine learning?
