AI and Machine Learning
前往频道在 Telegram
Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more! Buy ads: https://telega.io/c/machine_learning_courses
显示更多📈 Telegram 频道 AI and Machine Learning 的分析概览
频道 AI and Machine Learning (@machine_learning_courses) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 94 077 名订阅者,在 教育 类别中位列第 1 547,并在 印度 地区排名第 3 005 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 94 077 名订阅者。
根据 26 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 965,过去 24 小时变化为 37,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 6.79%。内容发布后 24 小时内通常能获得 2.34% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 6 384 次浏览,首日通常累积 2 203 次浏览。
- 互动与反馈: 受众积极参与,单帖平均反应数为 9。
- 主题关注点: 内容集中在 learning, llm, linkedin, linux, udemy 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, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more!
Buy ads: https://telega.io/c/machine_learning_courses”
凭借高频更新(最新数据采集于 27 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。
94 077
订阅者
+3724 小时
+2267 天
+96530 天
帖子存档
94 086
🔰 Artificial Intelligence & ChatGPT for Cyber Security 2024
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94 086
Use simple prompts to create Agents that are expert on your codebase with Potpie AI. 🤖 Perform debugging, testing, system design etc. in a fully autonomous way using these agents. It's free and open source - try now! 🔥
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94 086
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94 086
💸 Understanding Popular ML Algorithms:
1️⃣ Linear Regression: Think of it as drawing a straight line through data points to predict future outcomes.
2️⃣ Logistic Regression: Like a yes/no machine - it predicts the likelihood of something happening or not.
3️⃣ Decision Trees: Imagine making decisions by answering yes/no questions, leading to a conclusion.
4️⃣ Random Forest: It's like a group of decision trees working together, making more accurate predictions.
5️⃣ Support Vector Machines (SVM): Visualize drawing lines to separate different types of things, like cats and dogs.
6️⃣ K-Nearest Neighbors (KNN): Friends sticking together - if most of your friends like something, chances are you'll like it too!
7️⃣ Neural Networks: Inspired by the brain, they learn patterns from examples - perfect for recognizing faces or understanding speech.
8️⃣ K-Means Clustering: Imagine sorting your socks by color without knowing how many colors there are - it groups similar things.
9️⃣ Principal Component Analysis (PCA): Simplifies complex data by focusing on what's important, like summarizing a long story with just a few key points.
现已上线!2025 年 Telegram 研究 — 年度关键洞察 
