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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 40 251 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 40 251 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。

40 251
订阅者
+2224 小时
+987
+34630
帖子存档
📌 How to Reduce Python Runtime for Demanding Tasks 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-17 | ⏱️ Read time: 8 min read
📌 How to Reduce Python Runtime for Demanding Tasks 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-17 | ⏱️ Read time: 8 min read Practical techniques to accelerate heavy workloads with GPU optimization in Python

📌 From Local to Cloud: Estimating GPU Resources for Open-Source LLMs 🗂 Category: 🕒 Date: 2024-11-18 | ⏱️ Read time: 4 min
📌 From Local to Cloud: Estimating GPU Resources for Open-Source LLMs 🗂 Category: 🕒 Date: 2024-11-18 | ⏱️ Read time: 4 min read Estimating GPU memory for deploying the latest open-source LLMs

📌 Data Validation with Pandera in Python 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-18 | ⏱️ Read time: 10 min read Validatin
📌 Data Validation with Pandera in Python 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-18 | ⏱️ Read time: 10 min read Validating your Dataframes for Production ML Pipelines

📌 Creating a frontend for your ML application with Vercel V0 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-11-18 | ⏱️ Read tim
📌 Creating a frontend for your ML application with Vercel V0 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-11-18 | ⏱️ Read time: 9 min read Develop an appealing frontend application using v0 by Vercel

📌 Navigating Networks with NetworkX: A Short Guide to Graphs in Python 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-18 | ⏱️ Re
📌 Navigating Networks with NetworkX: A Short Guide to Graphs in Python 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-18 | ⏱️ Read time: 16 min read Explore NetworkX for building, analyzing, and visualizing graphs in Python. Discovering Insights in Connected Data.

📌 Increasing Transformer Model Efficiency Through Attention Layer Optimization 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date:
📌 Increasing Transformer Model Efficiency Through Attention Layer Optimization 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-18 | ⏱️ Read time: 16 min read How paying “better” attention can drive ML cost savings

📌 The Metrics of Continual Learning 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-18 | ⏱️ Read time: 4 min read Thes
📌 The Metrics of Continual Learning 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-18 | ⏱️ Read time: 4 min read These three metrics are commonly used

📌 Building a Local Voice Assistant with LLMs and Neural Networks on Your CPU Laptop 🗂 Category: DATA SCIENCE 🕒 Date: 2024-
📌 Building a Local Voice Assistant with LLMs and Neural Networks on Your CPU Laptop 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-19 | ⏱️ Read time: 6 min read A practical guide to run lightweight LLMs using python

📌 Dance between dense and sparse embeddings: Enabling Hybrid Search in LangChain-Milvus 🗂 Category: 🕒 Date: 2024-11-19 | ⏱
📌 Dance between dense and sparse embeddings: Enabling Hybrid Search in LangChain-Milvus 🗂 Category: 🕒 Date: 2024-11-19 | ⏱️ Read time: 7 min read Dance Between Dense and Sparse Embeddings: Enabling Hybrid Search in LangChain-Milvus How to create and…

📌 Multimodal Models – LLMs that can see and hear 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-11-19 | ⏱️ Read time: 10 min re
📌 Multimodal Models – LLMs that can see and hear 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-11-19 | ⏱️ Read time: 10 min read An introduction with example Python code

📌 The Root Cause of Why Organizations Fail With Data & AI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-19 | ⏱️ Read
📌 The Root Cause of Why Organizations Fail With Data & AI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-19 | ⏱️ Read time: 34 min read A guide to be successful with the strategic groundwork required

📌 NLP Illustrated, Part 1: Text Encoding 🗂 Category: DEEP LEARNING 🕒 Date: 2024-11-19 | ⏱️ Read time: 10 min read An illus
📌 NLP Illustrated, Part 1: Text Encoding 🗂 Category: DEEP LEARNING 🕒 Date: 2024-11-19 | ⏱️ Read time: 10 min read An illustrated guide to text-to-number translation, with code

📌 Linear programming: Integer Linear Programming with Branch and Bound 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-19 | ⏱️ Re
📌 Linear programming: Integer Linear Programming with Branch and Bound 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-19 | ⏱️ Read time: 11 min read Part 4: Extending linear programming optimization to discrete decision variables

📌 Third-Year Work Anniversary as a Data Scientist: Growth, Reflections and Acceptance 🗂 Category: CAREER ADVICE 🕒 Date: 20
📌 Third-Year Work Anniversary as a Data Scientist: Growth, Reflections and Acceptance 🗂 Category: CAREER ADVICE 🕒 Date: 2024-11-19 | ⏱️ Read time: 8 min read A letter to myself and fellow data scientists

📌 How to Answer Business Questions with Data 🗂 Category: BUSINESS 🕒 Date: 2024-11-19 | ⏱️ Read time: 15 min read Data anal
📌 How to Answer Business Questions with Data 🗂 Category: BUSINESS 🕒 Date: 2024-11-19 | ⏱️ Read time: 15 min read Data analysis is the key to drive business decisions through answering abstract business questions but…

📌 Collision Risk in Hash-Based Surrogate Keys 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-11-20 | ⏱️ Read time: 14 min read
📌 Collision Risk in Hash-Based Surrogate Keys 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-11-20 | ⏱️ Read time: 14 min read Various aspects and real-life analogies of the odds of having a hash collision when computing…

📌 Einstein Notation: A New Lens on Transformers 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-11-20 | ⏱️ Read time: 9 min read
📌 Einstein Notation: A New Lens on Transformers 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-11-20 | ⏱️ Read time: 9 min read Transforming the Math of the Transformer Model

📌 Water Cooler Small Talk: Why Does the Monty Hall Problem Still Bother Us? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-20 |
📌 Water Cooler Small Talk: Why Does the Monty Hall Problem Still Bother Us? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-20 | ⏱️ Read time: 10 min read A look at the counterintuitive mathematics of game show puzzles

📌 LoRA Fine-Tuning On Your Apple Silicon MacBook 🗂 Category: 🕒 Date: 2024-11-20 | ⏱️ Read time: 11 min read Let’s Go Step-
📌 LoRA Fine-Tuning On Your Apple Silicon MacBook 🗂 Category: 🕒 Date: 2024-11-20 | ⏱️ Read time: 11 min read Let’s Go Step-By-Step Fine-Tuning On Your MacBook

📌 Building a Research Agent That Can Write to Google Docs (Part 1) 🗂 Category: 🕒 Date: 2024-11-20 | ⏱️ Read time: 18 min r
📌 Building a Research Agent That Can Write to Google Docs (Part 1) 🗂 Category: 🕒 Date: 2024-11-20 | ⏱️ Read time: 18 min read A tool that might help with your homework