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Machine Learning

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

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📈 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 40 244 名订阅者,在 技术与应用 类别中位列第 3 343,并在 叙利亚 地区排名第 227

📊 受众指标与增长动态

невідомо 创建以来,项目保持高速增长,吸引了 40 244 名订阅者。

根据 05 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 346,过去 24 小时变化为 22,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 1.97%。内容发布后 24 小时内通常能获得 1.86% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 794 次浏览,首日通常累积 749 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 3
  • 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 06 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。

40 244
订阅者
+2224 小时
+987
+34630
帖子存档
📌 From Data Scientist to Data Manager: My First 3 Months Leading a Team 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-26 | ⏱️ R
📌 From Data Scientist to Data Manager: My First 3 Months Leading a Team 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-26 | ⏱️ Read time: 9 min read Reflections on moving from hands-on work to mentoring and leading

📌 Optimizing Transformer Models for Variable-Length Input Sequences 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-26
📌 Optimizing Transformer Models for Variable-Length Input Sequences 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-26 | ⏱️ Read time: 17 min read How PyTorch NestedTensors, FlashAttention2, and xFormers can Boost Performance and Reduce AI Costs

📌 Explainable Generic ML Pipeline with MLflow 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-11-26 | ⏱️ Read time: 15 min read
📌 Explainable Generic ML Pipeline with MLflow 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-11-26 | ⏱️ Read time: 15 min read An end-to-end demo to wrap a pre-processor and explainer into an algorithm-agnostic ML pipeline with…

📌 Data Scientist Answers the Most Popular Data Science Questions 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-26 |
📌 Data Scientist Answers the Most Popular Data Science Questions 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-26 | ⏱️ Read time: 7 min read All-around guidance for prospective data scientists

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📌 Mistral 7B Explained: Towards More Efficient Language Models 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-26 | ⏱️
📌 Mistral 7B Explained: Towards More Efficient Language Models 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-26 | ⏱️ Read time: 56 min read RMS Norm, RoPE, GQA, SWA, KV Cache, and more!

📌 Addressing Missing Data 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-26 | ⏱️ Read time: 9 min read Understand missing data p
📌 Addressing Missing Data 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-26 | ⏱️ Read time: 9 min read Understand missing data patterns (MCAR, MNAR, MAR) for better model performance with Missingno

📌 A Beginner’s Journey into Key Mathematical Concepts: Applied Data Analysis Simplified 🗂 Category: PROBABILITY 🕒 Date: 20
📌 A Beginner’s Journey into Key Mathematical Concepts: Applied Data Analysis Simplified 🗂 Category: PROBABILITY 🕒 Date: 2024-11-26 | ⏱️ Read time: 23 min read Understanding key concepts such as Monte Carlo Methods, Bayes’ Theorem or Gradient Descent can be…

📌 NLP Illustrated, Part 2: Word Embeddings 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-27 | ⏱️ Read time: 8 min re
📌 NLP Illustrated, Part 2: Word Embeddings 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-27 | ⏱️ Read time: 8 min read An illustrated and intuitive guide to word embeddings

📌 A Story of Long Tails: Why Uncertainty in Marketing Mix Modelling is Important 🗂 Category: MARKETING 🕒 Date: 2024-11-27
📌 A Story of Long Tails: Why Uncertainty in Marketing Mix Modelling is Important 🗂 Category: MARKETING 🕒 Date: 2024-11-27 | ⏱️ Read time: 30 min read "Details matter. It’s worth waiting to get it right." — Steve Jobs What if the…

📌 Autonomous Agent Ecosystems, Data Integration, Open Source LLMs, and Other November Must-Reads 🗂 Category: DATA SCIENCE �
📌 Autonomous Agent Ecosystems, Data Integration, Open Source LLMs, and Other November Must-Reads 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-28 | ⏱️ Read time: 4 min read The stories that resonated the most with our community in the past month

📌 A quick guide to Network Science 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-28 | ⏱️ Read time: 8 min read For those who wo
📌 A quick guide to Network Science 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-28 | ⏱️ Read time: 8 min read For those who would like to learn about complex connections – from theory to practice…

📌 Complete MLOPS Cycle for a Computer Vision Project 🗂 Category: 🕒 Date: 2024-11-28 | ⏱️ Read time: 9 min read These days,
📌 Complete MLOPS Cycle for a Computer Vision Project 🗂 Category: 🕒 Date: 2024-11-28 | ⏱️ Read time: 9 min read These days, we encounter (and maybe produce on our own) many computer vision projects, where…

📌 The Intuition behind Concordance Index – Survival Analysis 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-28 | ⏱️ Read time: 1
📌 The Intuition behind Concordance Index – Survival Analysis 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-28 | ⏱️ Read time: 19 min read Ranking accuracy versus absolute accuracy

📌 GenAI is Reshaping Data Science Teams 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-29 | ⏱️ Read time: 11 min read Challenges
📌 GenAI is Reshaping Data Science Teams 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-29 | ⏱️ Read time: 11 min read Challenges, opportunities, and the evolving role of data scientists

📌 Porting Twitter’s Anomaly Detection Algorithm To Swift 🗂 Category: TWITTER 🕒 Date: 2024-11-29 | ⏱️ Read time: 12 min rea
📌 Porting Twitter’s Anomaly Detection Algorithm To Swift 🗂 Category: TWITTER 🕒 Date: 2024-11-29 | ⏱️ Read time: 12 min read From Twitter to Swift: Building Anomaly Detection.

📌 AI Math: The Bias-Variance Trade-off in Deep Learning 🗂 Category: DEEP LEARNING 🕒 Date: 2024-11-29 | ⏱️ Read time: 60 mi
📌 AI Math: The Bias-Variance Trade-off in Deep Learning 🗂 Category: DEEP LEARNING 🕒 Date: 2024-11-29 | ⏱️ Read time: 60 min read A visual tour from classical statistics to the nuances of deep learning

📌 Multimodal Embeddings: An Introduction 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-29 | ⏱️ Read time: 8 min read Mapping te
📌 Multimodal Embeddings: An Introduction 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-29 | ⏱️ Read time: 8 min read Mapping text and images into a common space

📌 Water Cooler Small Talk: Simpson’s Paradox 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-29 | ⏱️ Read time: 10 min read Is yo
📌 Water Cooler Small Talk: Simpson’s Paradox 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-29 | ⏱️ Read time: 10 min read Is your data tricking you? What can you do about it?

📌 Think you Know Excel? Take Your Analytics Skills to the Next Level with Power Query! 🗂 Category: DATA SCIENCE 🕒 Date: 20
📌 Think you Know Excel? Take Your Analytics Skills to the Next Level with Power Query! 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-29 | ⏱️ Read time: 8 min read 5 practical use cases that prove Power Query is worth exploring.