ch
Feedback
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

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 40 150 名订阅者,在 技术与应用 类别中位列第 3 364,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 40 150 名订阅者。

根据 27 六月, 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 412,过去 24 小时变化为 5,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 1.96%。内容发布后 24 小时内通常能获得 1.89% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 785 次浏览,首日通常累积 760 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 2
  • 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 28 六月, 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。

40 150
订阅者
+524 小时
+1067
+41230
帖子存档
📌 The Trap of Sprints: Don’t Be Like Scarlett O’Hara. Think Today! 🗂 Category: AGILE 🕒 Date: 2024-06-03 | ⏱️ Read time: 11
📌 The Trap of Sprints: Don’t Be Like Scarlett O’Hara. Think Today! 🗂 Category: AGILE 🕒 Date: 2024-06-03 | ⏱️ Read time: 11 min read Why data scientists should prioritize communication and flexibility in agile projects

📌 A Deep Dive into Fine-Tuning 🗂 Category: NATURAL LANGUAGE PROCESSING 🕒 Date: 2024-06-03 | ⏱️ Read time: 30 min read Step
📌 A Deep Dive into Fine-Tuning 🗂 Category: NATURAL LANGUAGE PROCESSING 🕒 Date: 2024-06-03 | ⏱️ Read time: 30 min read Stepping out of the “comfort zone” – part 3/3 of a deep-dive into domain adaptation…

📌 The Meaning of Explainability for AI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-04 | ⏱️ Read time: 10 min read
📌 The Meaning of Explainability for AI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-04 | ⏱️ Read time: 10 min read Do we still care about how our machine learning does what it does?

📌 Understanding You Only Cache Once 🗂 Category: 🕒 Date: 2024-06-04 | ⏱️ Read time: 11 min read This blog post will go in d
📌 Understanding You Only Cache Once 🗂 Category: 🕒 Date: 2024-06-04 | ⏱️ Read time: 11 min read This blog post will go in detail on the “You Only Cache Once: Decoder-Decoder Architectures…

📌 The Math Behind Gated Recurrent Units 🗂 Category: DEEP LEARNING 🕒 Date: 2024-06-04 | ⏱️ Read time: 33 min read Dive into
📌 The Math Behind Gated Recurrent Units 🗂 Category: DEEP LEARNING 🕒 Date: 2024-06-04 | ⏱️ Read time: 33 min read Dive into advanced deep learning with gated recurrent units (GRUs), understand their mathematics, and implement…

📌 Effective Strategies for Managing ML Initiatives 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-04 | ⏱️ Read time: 7 min read
📌 Effective Strategies for Managing ML Initiatives 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-04 | ⏱️ Read time: 7 min read Embracing uncertainty, right people, and learning from the data

📌 Data Disruptions to Elevate Entity Embeddings 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-06-04 | ⏱️ Read time: 15 min rea
📌 Data Disruptions to Elevate Entity Embeddings 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-06-04 | ⏱️ Read time: 15 min read Injecting random values during neural network training can help you get more from your categoricals

📌 Predicting Chicago Taxi Trips with R Time Series Model – BSTS 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-04 | ⏱️ Read time
📌 Predicting Chicago Taxi Trips with R Time Series Model – BSTS 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-04 | ⏱️ Read time: 9 min read Step-by-step tutorial on how to forecast number of taxi trips using R time series model

📌 How to Build Guardrails for Effective Agents 🗂 Category: LLM APPLICATIONS 🕒 Date: 2025-10-19 | ⏱️ Read time: 7 min read
📌 How to Build Guardrails for Effective Agents 🗂 Category: LLM APPLICATIONS 🕒 Date: 2025-10-19 | ⏱️ Read time: 7 min read Learn how to set up effective guardrails to enforce desired behaviour from your agents

📌 Conceptual Frameworks for Data Science Projects 🗂 Category: DATA SCIENCE 🕒 Date: 2025-10-19 | ⏱️ Read time: 18 min read
📌 Conceptual Frameworks for Data Science Projects 🗂 Category: DATA SCIENCE 🕒 Date: 2025-10-19 | ⏱️ Read time: 18 min read An overview of common framework types and a simple process for building custom frameworks

Repost from Free Online Courses
⭐️ Hello my advertiser friend! I’m Eng. Hussein Sheikho 👋 and I’m excited to share our special promotional offer with you! 🎯 💥 Promo Offer: Promote your ad across all our listed channels for only $35! 💰 📢 We accept all types and formats of advertisements. ✅ Publishing Plan: Your ad will be published for 20 days across all our channels, plus it will be pinned for 7 days 🔝 🧑‍💻 For Programming Channel Owners Only: Want your tech channel to grow fast? 🚀 You can add your channel to our promo folder for just $20/month — average growth rate 2000+ subscribers/month 📈 📩 Contact me for more details: 👉 t.me/HusseinSheikho 🌱 Let’s grow together! Our Share folder (our channels) 👇 https://t.me/addlist/8_rRW2scgfRhOTc0

📌 “Sparks of Chemical Intuition”-and Gross Limitations!-in AlphaFold 3 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06
📌 “Sparks of Chemical Intuition”-and Gross Limitations!-in AlphaFold 3 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-05 | ⏱️ Read time: 20 min read Observations after 3 weeks of DeepMind releasing its hitherto most advanced model for biomolecular structure…

📌 Slicing in Python: A Comprehensive Guide 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-05 | ⏱️ Read time: 32 min read Master
📌 Slicing in Python: A Comprehensive Guide 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-05 | ⏱️ Read time: 32 min read Master Python slicing: from lists and tuples to NumPy arrays and Pandas dataframes, plus custom…

🤖🧠 Unleashing the Power of AI with Open Agent Builder: A Visual Workflow Tool for AI Agents 🗓️ 19 Oct 2025 📚 AI News & Tr
🤖🧠 Unleashing the Power of AI with Open Agent Builder: A Visual Workflow Tool for AI Agents 🗓️ 19 Oct 2025 📚 AI News & Trends In today’s rapidly advancing technological landscape, artificial intelligence (AI) is not just a buzzword, it’s a transformative force across industries. From automating complex tasks to streamlining operations, AI is revolutionizing workflows. However, designing and deploying AI-driven workflows has traditionally required expert-level programming knowledge. Enter Open Agent Builder, a revolutionary tool that democratizes the creation of ... #AI #ArtificialIntelligence #OpenAgentBuilder #AIAgents #VisualWorkflow #TechInnovation

📌 The One Billion Row Challenge in Julia 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-05 | ⏱️ Read time: 9 min read What can d
📌 The One Billion Row Challenge in Julia 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-05 | ⏱️ Read time: 9 min read What can data scientists learn should they choose to accept this mission?

📌 The 5 Data Science Skills You Can’t Ignore in 2024 🗂 Category: CAREER ADVICE 🕒 Date: 2024-06-05 | ⏱️ Read time: 18 min r
📌 The 5 Data Science Skills You Can’t Ignore in 2024 🗂 Category: CAREER ADVICE 🕒 Date: 2024-06-05 | ⏱️ Read time: 18 min read Boost your career with these essential data science skills

📌 Business Planning with Python – Inventory and Cash Flow Management 🗂 Category: ANALYTICS 🕒 Date: 2024-06-05 | ⏱️ Read ti
📌 Business Planning with Python – Inventory and Cash Flow Management 🗂 Category: ANALYTICS 🕒 Date: 2024-06-05 | ⏱️ Read time: 15 min read Business planning of small businesses to manage inventory, predict liquidity needs and maximize profitability with…

📌 How to Deploy ML Solutions with FastAPI, Docker, and GCP 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-05 | ⏱️ Read time: 11
📌 How to Deploy ML Solutions with FastAPI, Docker, and GCP 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-05 | ⏱️ Read time: 11 min read A hands-on guide with Python example code

📌 Solving a Resource Planning Problem with Mathematical Programming and Column Generation 🗂 Category: DATA SCIENCE 🕒 Date:
📌 Solving a Resource Planning Problem with Mathematical Programming and Column Generation 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-05 | ⏱️ Read time: 25 min read Solving the minimum vertex coloring problem via column generation

📌 Why do Computers even use Binary? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-05 | ⏱️ Read time: 9 min read A Budding Data
📌 Why do Computers even use Binary? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-05 | ⏱️ Read time: 9 min read A Budding Data Scientist’s Introduction to Computer Hardware