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 16 129 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 16 129 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。
16 129
订阅者
-524 小时
-277 天
-14430 天
帖子存档
16 129
Ask your questions related to Data science, machine learning, deep learning, computer vision and career related questions. You will get your answers within 24hrs
✋✋✋
https://t.me/joinchat/VgOmi4uB9OImdbLw
16 129
Interview Question
Define Confidence interval.
A confidence interval is an interval estimate which is likely to include an
unknown population parameter, the estimated range being calculated from the
given sample dataset. It simply means the range of values for which you are
completely sure that the true value of your variable would lie in.
16 129
Interview Question
Define Sampling. Why do we need it?
Sampling is a process of choosing a subset from a target population which would
serve as its representative. We use the data from the sample to understand the
pattern in the population as a whole. Sampling is necessary because often we can
not gather or process the complete data within a reasonable time. There are many
ways to perform sampling. Some of the most commonly used techniques are
Random Sampling, Stratified Sampling, and Clustering Sampling.
16 129
Interview Question
Define F-test. Where would you use it?
An F-test is any statistical hypothesis test where the test statistic follows an F-
distribution under the null hypothesis. If you have 2 models that have been fitted to
a dataset, you can use F-test to identify the model which best fits the sample
population.
16 129
Top 8 skills required to become Data Analyst
1- Excel
2- SQL
3- PowerBI or Tableau
4- Communication and Presentation skills
5- Domain knowledge
6- Programmming language like python or R
7- Basic maths and Statistics knowledge
8- Problem solving
16 129
Hello everyone, you can invite your friends who is interested in learning data science, machine learning, deep learning or computer vision
t.me/dataspoof
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Here you can learn maximum courses for free. YOU JUST have to sign up and start learning.
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