Machine Learning
前往频道在 Telegram
Real Machine Learning — simple, practical, and built on experience. Learn step by step with clear explanations and working code. Admin: @HusseinSheikho || @Hussein_Sheikho
显示更多📈 Telegram 频道 Machine Learning 的分析概览
频道 Machine Learning (@machinelearning9) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 40 373 名订阅者,在 技术与应用 类别中位列第 3 327,并在 叙利亚 地区排名第 225 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 40 373 名订阅者。
根据 12 七月, 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 399,过去 24 小时变化为 24,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 2.42%。内容发布后 24 小时内通常能获得 1.74% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 979 次浏览,首日通常累积 703 次浏览。
- 互动与反馈: 受众积极参与,单帖平均反应数为 4。
- 主题关注点: 内容集中在 distance, insidead, gpu, learning, degree 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:
“Real Machine Learning — simple, practical, and built on experience.
Learn step by step with clear explanations and working code.
Admin: @HusseinSheikho || @Hussein_Sheikho”
凭借高频更新(最新数据采集于 13 七月, 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 技术与应用 类别中的关键影响点。
40 373
订阅者
+2424 小时
+1257 天
+39930 天
帖子存档
40 393
📌 A Visual Guide to Tuning Random Forest Hyperparameters
🗂 Category: DATA SCIENCE
🕒 Date: 2025-09-04 | ⏱️ Read time: 8 min read
How hyperparameter tuning visually changes random forests
40 393
📌 Should We Use LLMs As If They Were Swiss Knives?
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-09-04 | ⏱️ Read time: 9 min read
A logic game performance comparison between popular LLMs and a custom-made algorithm
40 393
📌 Tool Masking: The Layer MCP Forgot
🗂 Category: AGENTIC AI
🕒 Date: 2025-09-05 | ⏱️ Read time: 16 min read
Tool masking for AI improves AI agents: shape MCP tool surfaces to cut tokens and…
40 393
📌 Zero-Inflated Data: A Comparison of Regression Models
🗂 Category: DATA SCIENCE
🕒 Date: 2025-09-05 | ⏱️ Read time: 13 min read
How to detect it and which model to choose.
40 393
📌 AI Operations Under the Hood: Challenges and Best Practices
🗂 Category: LLM APPLICATIONS
🕒 Date: 2025-09-05 | ⏱️ Read time: 18 min read
Building robust, reproducible, and reliable GenAI applications requires a framework of continuous improvement, rigorous evaluation,…
40 393
📌 Showcasing Your Work on HuggingFace Spaces
🗂 Category: PRODUCTIVITY
🕒 Date: 2025-09-05 | ⏱️ Read time: 9 min read
Building an app is exciting – but sharing it is where the real value kicks…
40 393
📌 How to Context Engineer to Optimize Question Answering Pipelines
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-09-05 | ⏱️ Read time: 9 min read
Learn how to apply context engineering to enhance your question answering systems.
40 393
📌 Tool Masking: The Layer MCP Forgot
🗂 Category: AGENTIC AI
🕒 Date: 2025-09-05T07:00:00-05:00 | ⏱ Read time: 16 min read
Tool masking for AI improves AI agents: shape MCP tool surfaces to cut tokens and…
40 393
📌 Zero-Inflated Data: A Comparison of Regression Models
🗂 Category: DATA SCIENCE
🕒 Date: 2025-09-05T08:30:00-05:00 | ⏱ Read time: 13 min read
How to detect it and which model to choose.
40 393
📌 AI Operations Under the Hood: Challenges and Best Practices
🗂 Category: LLM APPLICATIONS
🕒 Date: 2025-09-05T10:00:00-05:00 | ⏱ Read time: 18 min read
Building robust, reproducible, and reliable GenAI applications requires a framework of continuous improvement, rigorous evaluation,…
40 393
📌 Showcasing Your Work on HuggingFace Spaces
🗂 Category: PRODUCTIVITY
🕒 Date: 2025-09-05T11:30:00-05:00 | ⏱ Read time: 9 min read
Building an app is exciting – but sharing it is where the real value kicks…
40 393
📌 How to Context Engineer to Optimize Question Answering Pipelines
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-09-05T12:30:00-05:00 | ⏱ Read time: 9 min read
Learn how to apply context engineering to enhance your question answering systems.
40 393
Repost from Github Top Repositories
🔥 Trending Repository: ML-From-Scratch
📝 Description: Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
🔗 Repository URL: https://github.com/eriklindernoren/ML-From-Scratch
📖 Readme: https://github.com/eriklindernoren/ML-From-Scratch#readme
📊 Statistics:
🌟 Stars: 27.8K stars
👀 Watchers: 951
🍴 Forks: 4.8K forks
💻 Programming Languages: Python
🏷️ Related Topics:
#data_science #machine_learning #data_mining #deep_learning #genetic_algorithm #deep_reinforcement_learning #machine_learning_from_scratch================================== 🧠 By: https://t.me/DataScienceM
40 393
No one believed I could double my portfolio in just 30 days… but then I discovered the Prop Mastery tricks top traders keep secret. Want to know how? The real strategies are hidden right here — and only a few catch on before it’s too late!
#إعلان InsideAds
40 393
“I was laughed at when I bought crypto in 2019. Now my portfolio’s up 1200% — and friends keep asking for ‘the secret’…
But nobody talks about the brutal truths I learned along the way. Want to see what everyone’s missing? 👉 See it here
#إعلان InsideAds
40 393
Think you know your football history?
Who scored a hat-trick against Real Madrid in yellow and black?
Every day, Footy Riddles ⚽ drops clever puzzles about iconic players, unforgettable moments, and legendary matches.
Challenge your football brain and see if you can guess before anyone else!
Only the quickest fans know all the answers—are you one of them?
#إعلان InsideAds
40 393
90% трейдеров сливают из-за ручного анализа и эмоций?
TRUE — первый AI-протокол на Solana, который сам учится на on-chain данных, выдает персональные стратегии и делает трейдинг понятным на естественном языке.
Именно сейчас можно получить доступ к запуску и участвовать в токенсейле $TRUE, пока условия максимально выгодные.
Трейдинг будущего начинается здесь — не упусти шанс быть первым! Присоединяйся
#إعلان InsideAds
40 393
What if you could skip all the chart noise and just ask AI to invest for you?
90% of traders lose money… but the game changes when you chat instead of chart.
Be early—join the AI revolution before everyone else wakes up.
#إعلان InsideAds
40 393
🔥 Trending Repository: abogen
📝 Description: Generate audiobooks from EPUBs, PDFs and text with synchronized captions.
🔗 Repository URL: https://github.com/denizsafak/abogen
🌐 Website: https://pypi.org/project/abogen/
📖 Readme: https://github.com/denizsafak/abogen#readme
📊 Statistics:
🌟 Stars: 3.1K stars
👀 Watchers: 18
🍴 Forks: 159 forks
💻 Programming Languages: Python - Batchfile - Dockerfile
🏷️ Related Topics:
#text_to_speech #audiobook #tts #speech_synthesis #subtitles #audiobooks #narrator #content_creator #voice_synthesis #epub_converter #kokoro #content_creation #text_to_audio #media_generation #kokoro_tts #kokoro_82m================================== 🧠 By: https://t.me/DataScienceM
40 393
🔥 Trending Repository: cognitive-load
📝 Description: 🧠 Cognitive Load is what matters
🔗 Repository URL: https://github.com/zakirullin/cognitive-load
📖 Readme: https://github.com/zakirullin/cognitive-load#readme
📊 Statistics:
🌟 Stars: 9.4K stars
👀 Watchers: 86
🍴 Forks: 200 forks
💻 Programming Languages: Not available
🏷️ Related Topics: Not available
==================================
🧠 By: https://t.me/DataScienceM
