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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 40 323 名订阅者,在 技术与应用 类别中位列第 3 332,并在 叙利亚 地区排名第 225

📊 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 40 323 名订阅者。

根据 09 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 378,过去 24 小时变化为 30,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 2.23%。内容发布后 24 小时内通常能获得 1.95% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 897 次浏览,首日通常累积 788 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 10 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。

40 323
订阅者
+3024 小时
+1067
+37830
帖子存档
📌 How to Benchmark DeepSeek-R1 Distilled Models on GPQA Using Ollama and OpenAI’s simple-evals 🗂 Category: LARGE LANGUAGE M
📌 How to Benchmark DeepSeek-R1 Distilled Models on GPQA Using Ollama and OpenAI’s simple-evals 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-04-23 | ⏱️ Read time: 12 min read Set up and run the GPQA-Diamond benchmark on DeepSeek-R1’s distilled models locally to evaluate its…

📌 Exporting MLflow Experiments from Restricted HPC Systems 🗂 Category: DATA ENGINEERING 🕒 Date: 2025-04-23 | ⏱️ Read time:
📌 Exporting MLflow Experiments from Restricted HPC Systems 🗂 Category: DATA ENGINEERING 🕒 Date: 2025-04-23 | ⏱️ Read time: 4 min read A workaround method that bypasses direct communication

📌 Predicting the NBA Champion with Machine Learning 🗂 Category: DATA SCIENCE 🕒 Date: 2025-04-24 | ⏱️ Read time: 10 min rea
📌 Predicting the NBA Champion with Machine Learning 🗂 Category: DATA SCIENCE 🕒 Date: 2025-04-24 | ⏱️ Read time: 10 min read Building a machine learning model to predict the NBA Champion and analyze the most impactful…

📌 Choose the Right One: Evaluating Topic Models for Business Intelligence 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-04-24
📌 Choose the Right One: Evaluating Topic Models for Business Intelligence 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-04-24 | ⏱️ Read time: 11 min read Python tutorial for evaluating top-notch bigram topic models in customer email classification

📌 How to Integrate AI into Complex Workflows 🗂 Category: THE VARIABLE 🕒 Date: 2025-04-24 | ⏱️ Read time: 3 min read This w
📌 How to Integrate AI into Complex Workflows 🗂 Category: THE VARIABLE 🕒 Date: 2025-04-24 | ⏱️ Read time: 3 min read This week, we focus on the nitty-gritty details of integrating AI workflows into new contexts.

📌 Government Funding Graph RAG 🗂 Category: DATA SCIENCE 🕒 Date: 2025-04-24 | ⏱️ Read time: 19 min read Graph visualisation
📌 Government Funding Graph RAG 🗂 Category: DATA SCIENCE 🕒 Date: 2025-04-24 | ⏱️ Read time: 19 min read Graph visualisation for UK Research and Innovation (UKRI) funding, including NetworkX, PyVis and LlamaIndex graph…

📌 AWS: Deploying a FastAPI App on EC2 in Minutes 🗂 Category: DATA ENGINEERING 🕒 Date: 2025-04-24 | ⏱️ Read time: 5 min rea
📌 AWS: Deploying a FastAPI App on EC2 in Minutes 🗂 Category: DATA ENGINEERING 🕒 Date: 2025-04-24 | ⏱️ Read time: 5 min read From zero to EC2: easy steps to launching an AWS Instance

📌 LLM Evaluations: from Prototype to Production 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-04-25 | ⏱️ Read time: 30
📌 LLM Evaluations: from Prototype to Production 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-04-25 | ⏱️ Read time: 30 min read How to monitor the quality of your LLM product

📌 Behind the Magic: How Tensors Drive Transformers 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-04-25 | ⏱️ Read time: 4
📌 Behind the Magic: How Tensors Drive Transformers 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-04-25 | ⏱️ Read time: 4 min read The workflow Of tensors Inside Transformers

📌 A Step-By-Step Guide To Powering Your Application With LLMs 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-04-25 | ⏱️ Re
📌 A Step-By-Step Guide To Powering Your Application With LLMs 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-04-25 | ⏱️ Read time: 8 min read Explore a hands-on guide to integrating large language models into real-world apps, not just read…

📌 Hands-on Multi Agent LLM Restaurant Simulation, with Python and OpenAI 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-04
📌 Hands-on Multi Agent LLM Restaurant Simulation, with Python and OpenAI 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-04-28 | ⏱️ Read time: 12 min read This is how I used Large Language Models Agents to simulate an end-to-end restaurant process,…

📌 Adding Training Noise To Improve Detections In Transformers 🗂 Category: DEEP LEARNING 🕒 Date: 2025-04-28 | ⏱️ Read time:
📌 Adding Training Noise To Improve Detections In Transformers 🗂 Category: DEEP LEARNING 🕒 Date: 2025-04-28 | ⏱️ Read time: 8 min read Denoising, explained

📌 When OpenAI Isn’t Always the Answer: Enterprise Risks Behind Wrapper-Based AI Agents 🗂 Category: ARTIFICIAL INTELLIGENCE
📌 When OpenAI Isn’t Always the Answer: Enterprise Risks Behind Wrapper-Based AI Agents 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-04-28 | ⏱️ Read time: 8 min read Data privacy, compliance, and trust gaps in today’s AI agent integrations

📌 NumExpr: The “Faster than Numpy” Library Most Data Scientists Have Never Used 🗂 Category: PROGRAMMING 🕒 Date: 2025-04-28
📌 NumExpr: The “Faster than Numpy” Library Most Data Scientists Have Never Used 🗂 Category: PROGRAMMING 🕒 Date: 2025-04-28 | ⏱️ Read time: 8 min read A comparative performance test with NumPy

📌 Struggling to Land a Data Role in 2025? These 5 Tips Will Change That 🗂 Category: DATA SCIENCE 🕒 Date: 2025-04-28 | ⏱️ R
📌 Struggling to Land a Data Role in 2025? These 5 Tips Will Change That 🗂 Category: DATA SCIENCE 🕒 Date: 2025-04-28 | ⏱️ Read time: 7 min read Your dream data job isn’t ghosting you—you just need to search smart.

📌 How to Build an AI Budget-Planning Optimizer for Your 2026 CAPEX Review: LangGraph, FastAPI, and n8n 🗂 Category: ARTIFICI
📌 How to Build an AI Budget-Planning Optimizer for Your 2026 CAPEX Review: LangGraph, FastAPI, and n8n 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-09-10 | ⏱️ Read time: 20 min read Email → n8n → LangGraph → FastAPI: turning budget requests into optimised CAPEX portfolios that…

📌 Why Task-Based Evaluations Matter 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-09-10 | ⏱️ Read time: 4 min read This
📌 Why Task-Based Evaluations Matter 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-09-10 | ⏱️ Read time: 4 min read This article is adapted from a lecture series I gave at Deeplearn 2025: From Prototype…

📌 When A Difference Actually Makes A Difference 🗂 Category: DATA SCIENCE 🕒 Date: 2025-09-10 | ⏱️ Read time: 10 min read Bi
📌 When A Difference Actually Makes A Difference 🗂 Category: DATA SCIENCE 🕒 Date: 2025-09-10 | ⏱️ Read time: 10 min read Bite-Sized Analytics for Business Decision-Makers (1)

📌 Fighting Back Against Attacks in Federated Learning 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-09-10 | ⏱️ Read time: 8 mi
📌 Fighting Back Against Attacks in Federated Learning 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-09-10 | ⏱️ Read time: 8 min read Lessons from a multi-node simulator

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