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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 40 255 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 40 255 名订阅者。

根据 06 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 336,过去 24 小时变化为 -4,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 2.25%。内容发布后 24 小时内通常能获得 1.88% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 906 次浏览,首日通常累积 758 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 07 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。

40 255
订阅者
-424 小时
+917
+33630
帖子存档
📌 Deep Dive into LlamaIndex Workflow: Event-Driven LLM Architecture 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-17 | ⏱️ Read
📌 Deep Dive into LlamaIndex Workflow: Event-Driven LLM Architecture 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-17 | ⏱️ Read time: 17 min read What I think about the progress and shortcomings after practice

📌 When Averages Lie: Moving Beyond Single-Point Predictions 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-17 | ⏱️ Read time: 18
📌 When Averages Lie: Moving Beyond Single-Point Predictions 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-17 | ⏱️ Read time: 18 min read The Case for Predicting Full Probability Distributions in Decision-Making

📌 Epic “Crossover” Between AlphaFold 3 and GPT-4o’s Knowledge of Protein Data Bank Entries 🗂 Category: ARTIFICIAL INTELLIGE
📌 Epic “Crossover” Between AlphaFold 3 and GPT-4o’s Knowledge of Protein Data Bank Entries 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-17 | ⏱️ Read time: 15 min read Exploring how GPT-4o’s knowledge of the Protein Data Bank coupled to systems like AlphaFold 3…

📌 Four Career-Savers Data Scientists Should Incorporate into Their Work 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-1
📌 Four Career-Savers Data Scientists Should Incorporate into Their Work 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-17 | ⏱️ Read time: 7 min read You might damage your data science career progress without even realising it – but avoiding…

📌 The Invisible Bug That Broke My Automation: How OCR Changed The Game 🗂 Category: 🕒 Date: 2024-12-17 | ⏱️ Read time: 9 mi
📌 The Invisible Bug That Broke My Automation: How OCR Changed The Game 🗂 Category: 🕒 Date: 2024-12-17 | ⏱️ Read time: 9 min read The evolution of AI in test automation: from locators to generative AI (Part 3)

📌 2024 in Review: What I Got Right, Where I Was Wrong, and Bolder Predictions for 2025 🗂 Category: ARTIFICIAL INTELLIGENCE
📌 2024 in Review: What I Got Right, Where I Was Wrong, and Bolder Predictions for 2025 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-17 | ⏱️ Read time: 9 min read What I got right (and wrong) about trends in 2024 and daring to make bolder…

📌 Will Your Christmas Be White? Ask An AI Weather Model! 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-17 | ⏱️ Read
📌 Will Your Christmas Be White? Ask An AI Weather Model! 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-17 | ⏱️ Read time: 6 min read Learn how to visualize AI weather and create your own forecast for the holidays

📌 Linear Optimisations in Product Analytics 🗂 Category: ANALYTICS 🕒 Date: 2024-12-18 | ⏱️ Read time: 12 min read Solving t
📌 Linear Optimisations in Product Analytics 🗂 Category: ANALYTICS 🕒 Date: 2024-12-18 | ⏱️ Read time: 12 min read Solving the knapsack problem

📌 Roadmap to Becoming a Data Scientist, Part 2: Software Engineering 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-18 | ⏱️ Read
📌 Roadmap to Becoming a Data Scientist, Part 2: Software Engineering 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-18 | ⏱️ Read time: 14 min read Coding your road to Data Science: mastering key development skills

📌 100 Years of (eXplainable) AI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-18 | ⏱️ Read time: 25 min read Reflect
📌 100 Years of (eXplainable) AI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-18 | ⏱️ Read time: 25 min read Reflecting on advances and challenges in deep learning and explainability in the ever-evolving era of…

📌 The Algorithm That Made Google Google 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-18 | ⏱️ Read time: 20 min read
📌 The Algorithm That Made Google Google 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-18 | ⏱️ Read time: 20 min read How PageRank transformed how we searched the internet, and why it’s still playing an important…

📌 Classifier-Free Guidance in LLMs Safety – NeurIPS 2024 Challenge Experience 🗂 Category: 🕒 Date: 2024-12-18 | ⏱️ Read tim
📌 Classifier-Free Guidance in LLMs Safety – NeurIPS 2024 Challenge Experience 🗂 Category: 🕒 Date: 2024-12-18 | ⏱️ Read time: 7 min read LLM unlearning without model degradation is achieved through direct training on the replacement data and…

📌 Introduction to TensorFlow’s Functional API 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-12-18 | ⏱️ Read time: 6 min read L
📌 Introduction to TensorFlow’s Functional API 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-12-18 | ⏱️ Read time: 6 min read Learn what the Functional API is, and how to build complex keras models using it

📌 Awesome Plotly with Code Series (Part 6): Dealing with Long Axis Labels 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-19 | ⏱️
📌 Awesome Plotly with Code Series (Part 6): Dealing with Long Axis Labels 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-19 | ⏱️ Read time: 10 min read To rotate or not rotate? To truncate or to not truncate?

📌 2024 Highlights: The AI and Data Science Articles That Made a Splash 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-19 | ⏱️ Re
📌 2024 Highlights: The AI and Data Science Articles That Made a Splash 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-19 | ⏱️ Read time: 7 min read The stories that resonated the most with our community in the past year

📌 Why Sets Are So Useful in Programming 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-19 | ⏱️ Read time: 8 min read And how you
📌 Why Sets Are So Useful in Programming 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-19 | ⏱️ Read time: 8 min read And how you can use them to boost your code performance

📌 Synthetic Control Sample for Before and After A/B Test 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-19 | ⏱️ Read time: 11 mi
📌 Synthetic Control Sample for Before and After A/B Test 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-19 | ⏱️ Read time: 11 min read Learn a simple way to use linear regression to create a synthetic control sample for…

📌 From Prototype to Production: Enhancing LLM Accuracy 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-19 | ⏱️ Read ti
📌 From Prototype to Production: Enhancing LLM Accuracy 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-19 | ⏱️ Read time: 23 min read Implementing evaluation frameworks to optimize accuracy in real-world applications

📌 Introducing Layer Enhanced Classification (LEC) 🗂 Category: 🕒 Date: 2024-12-20 | ⏱️ Read time: 13 min read A novel appro
📌 Introducing Layer Enhanced Classification (LEC) 🗂 Category: 🕒 Date: 2024-12-20 | ⏱️ Read time: 13 min read A novel approach for lightweight safety classification using pruned language models

📌 Semantically Compress Text to Save On LLM Costs 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-12-20 | ⏱️ Read time: 9 m
📌 Semantically Compress Text to Save On LLM Costs 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-12-20 | ⏱️ Read time: 9 min read LLMs are great… if they can fit all of your data.