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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 40 186 名订阅者,在 技术与应用 类别中位列第 3 381,并在 叙利亚 地区排名第 228

📊 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 40 186 名订阅者。

根据 30 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 356,过去 24 小时变化为 17,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 2.03%。内容发布后 24 小时内通常能获得 2.06% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 815 次浏览,首日通常累积 828 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 01 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。

40 186
订阅者
+1724 小时
+1027
+35630
帖子存档
📌 Can AI Agents Do Your Day-to-Day Tasks on Apps? 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-07-28 | ⏱️ Read time: 9 m
📌 Can AI Agents Do Your Day-to-Day Tasks on Apps? 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-07-28 | ⏱️ Read time: 9 min read Benchmarking coding agents in a world of apps and people

📌 How to Create an LLM-Powered app to Convert Text to Presentation Slides: GenSlide – A Step-by-step… 🗂 Category: MACHINE L
📌 How to Create an LLM-Powered app to Convert Text to Presentation Slides: GenSlide – A Step-by-step… 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-07-29 | ⏱️ Read time: 9 min read Create a simple yet powerful application that uses LLMs to convert your written content to…

📌 Does Data-Driven Storytelling Need to Be Objective? 🗂 Category: DATA VISUALIZATION 🕒 Date: 2024-07-29 | ⏱️ Read time: 14
📌 Does Data-Driven Storytelling Need to Be Objective? 🗂 Category: DATA VISUALIZATION 🕒 Date: 2024-07-29 | ⏱️ Read time: 14 min read Striking the balance between efficiency and engagement of your data-driven stories

📌 Was Michael Scott the World’s Best Boss? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-29 | ⏱️ Read time: 17 min read Sentime
📌 Was Michael Scott the World’s Best Boss? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-29 | ⏱️ Read time: 17 min read Sentiment analysis of ‘The Office’ TV series using SchrutePy, NLTK and Hugging Face Transformers

📌 A Simple Regularization for Your GANs 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-07-29 | ⏱️ Read time: 17 min read In 201
📌 A Simple Regularization for Your GANs 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-07-29 | ⏱️ Read time: 17 min read In 2018, I had the privilege of orally presenting my paper at the AAAI conference.…

📌 You Didn’t Conduct an A/B Test. You Can Still Simulate One Retrospectively. 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-29
📌 You Didn’t Conduct an A/B Test. You Can Still Simulate One Retrospectively. 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-29 | ⏱️ Read time: 17 min read Modeling a synthetic (but high quality) control group as a baseline to infer whether the…

📌 Maximize Savings on Your Unused Fabric Capacities 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-07-29 | ⏱️ Read time: 9 min
📌 Maximize Savings on Your Unused Fabric Capacities 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-07-29 | ⏱️ Read time: 9 min read Automate your Microsoft Fabric capacity state with Azure Logic Apps Disclaimer: This post will not…

📌 Fine-Tune Llama 3.1 Ultra-Efficiently with Unsloth 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-07-29 | ⏱️ Read time:
📌 Fine-Tune Llama 3.1 Ultra-Efficiently with Unsloth 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-07-29 | ⏱️ Read time: 14 min read A beginner’s guide to state-of-the-art supervised fine-tuning

📌 Isochrones in Python 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-29 | ⏱️ Read time: 4 min read Highlighting walkability are
📌 Isochrones in Python 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-29 | ⏱️ Read time: 4 min read Highlighting walkability areas in Python

📌 Python Set Is Way Faster Than List, True Or False? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-29 | ⏱️ Read time: 6 min rea
📌 Python Set Is Way Faster Than List, True Or False? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-29 | ⏱️ Read time: 6 min read Comprehensive performance comparison and discussion around data structure

📌 Hands on Career Path Modelling Using Markov Chain, with Python 🗂 Category: CAREER ADVICE 🕒 Date: 2024-07-29 | ⏱️ Read ti
📌 Hands on Career Path Modelling Using Markov Chain, with Python 🗂 Category: CAREER ADVICE 🕒 Date: 2024-07-29 | ⏱️ Read time: 14 min read This is how I used basic probability to simulate career development

📌 Navigating Data Science: B2C vs. B2B Analytics 🗂 Category: BUSINESS 🕒 Date: 2024-07-29 | ⏱️ Read time: 12 min read How c
📌 Navigating Data Science: B2C vs. B2B Analytics 🗂 Category: BUSINESS 🕒 Date: 2024-07-29 | ⏱️ Read time: 12 min read How customer types shape data science roles and methodologies

Missed the last big airdrop? Don’t repeat it. Padma turns grinding into a clear loop: finish daily quests, unlock upgrades an
Missed the last big airdrop? Don’t repeat it. Padma turns grinding into a clear loop: finish daily quests, unlock upgrades and artifacts drops, and convert progress into PAD tokens. Start early this season to grab higher multipliers and leaderboard rewards. Start now! #ad InsideAds

📌 Stable and fast randomization using hash spaces 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-29 | ⏱️ Read time: 8 min read G
📌 Stable and fast randomization using hash spaces 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-29 | ⏱️ Read time: 8 min read Generate consistent assignments on the fly across different implementation environments

📌 Visualizing 3D Spatial Data With Pydeck 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-29 | ⏱️ Read time: 4 min read How to cr
📌 Visualizing 3D Spatial Data With Pydeck 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-29 | ⏱️ Read time: 4 min read How to create building model maps in Python

📌 How to Stand Out in Your Data Scientist Interview 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-29 | ⏱️ Read time: 9 min read
📌 How to Stand Out in Your Data Scientist Interview 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-29 | ⏱️ Read time: 9 min read A tip from my experience hiring Data Scientists, which even seasoned professionals aren’t aware of

📌 Deploying dbt Projects at Scale on Google Cloud 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-07-29 | ⏱️ Read time: 13 min r
📌 Deploying dbt Projects at Scale on Google Cloud 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-07-29 | ⏱️ Read time: 13 min read Containerising and running dbt projects with Artifact Registry, Cloud Composer, GitHub Actions and dbt-airflow

📌 A Practical Guide to Contrastive Learning 🗂 Category: DEEP LEARNING 🕒 Date: 2024-07-30 | ⏱️ Read time: 10 min read How t
📌 A Practical Guide to Contrastive Learning 🗂 Category: DEEP LEARNING 🕒 Date: 2024-07-30 | ⏱️ Read time: 10 min read How to build your very first SimSiam model with FashionMNIST

📌 Data Warehouse, Redefined 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-07-30 | ⏱️ Read time: 9 min read Rethinking data war
📌 Data Warehouse, Redefined 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-07-30 | ⏱️ Read time: 9 min read Rethinking data warehousing: Why redefinition is necessary even beyond Modern Data Warehouse (MDW) and Lakehouse…

📌 Can Generative AI Lead to AI Collapse? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-30 | ⏱️ Read time: 9 min read
📌 Can Generative AI Lead to AI Collapse? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-30 | ⏱️ Read time: 9 min read AI eating its own tail: the risk of model collapse in generative systems