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 40 373 名订阅者,在 技术与应用 类别中位列第 3 327,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 40 373 名订阅者。

根据 12 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 399,过去 24 小时变化为 24,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 2.42%。内容发布后 24 小时内通常能获得 1.74% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 979 次浏览,首日通常累积 703 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 4
  • 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 13 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。

40 373
订阅者
+2424 小时
+1257
+39930
帖子存档
📌 How to Import Pre-Annotated Data into Label Studio and Run the Full Stack with Docker 🗂 Category: DATA SCIENCE 🕒 Date: 2
📌 How to Import Pre-Annotated Data into Label Studio and Run the Full Stack with Docker 🗂 Category: DATA SCIENCE 🕒 Date: 2025-08-29 | ⏱️ Read time: 9 min read From VOC to JSON: Importing pre-annotations made simple

📌 Unlocking Multimodal Video Transcription with Gemini 🗂 Category: LLM APPLICATIONS 🕒 Date: 2025-08-29 | ⏱️ Read time: 66
📌 Unlocking Multimodal Video Transcription with Gemini 🗂 Category: LLM APPLICATIONS 🕒 Date: 2025-08-29 | ⏱️ Read time: 66 min read Explore how to transcribe videos with speaker identification in a single prompt

📌 Toward Digital Well-Being: Using Generative AI to Detect and Mitigate Bias in Social Networks 🗂 Category: ARTIFICIAL INTE
📌 Toward Digital Well-Being: Using Generative AI to Detect and Mitigate Bias in Social Networks 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-08-29 | ⏱️ Read time: 9 min read This research answered the question: How can machine learning and artificial intelligence help us to…

📌 Marginal Effect of Hyperparameter Tuning with XGBoost 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-08-29 | ⏱️ Read time: 17
📌 Marginal Effect of Hyperparameter Tuning with XGBoost 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-08-29 | ⏱️ Read time: 17 min read Demystifying Bayesian hyperparameter optimization and comparing hyperparameter tuning paradigms

📌 Crafting a Custom Voice Assistant with Perplexity 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-08-30 | ⏱️ Read time: 1
📌 Crafting a Custom Voice Assistant with Perplexity 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-08-30 | ⏱️ Read time: 10 min read How to build a fully functional, hands-free voice assistant on a Raspberry Pi

📌 Understanding Matrices | Part 4: Matrix Inverse 🗂 Category: MATH 🕒 Date: 2025-08-30 | ⏱️ Read time: 18 min read The phys
📌 Understanding Matrices | Part 4: Matrix Inverse 🗂 Category: MATH 🕒 Date: 2025-08-30 | ⏱️ Read time: 18 min read The physical meaning of matrix inversion, related formulas, and how inversion behaves on several special…

📌 The Machine Learning Lessons I’ve Learned This Month 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-08-31 | ⏱️ Read time: 5 m
📌 The Machine Learning Lessons I’ve Learned This Month 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-08-31 | ⏱️ Read time: 5 min read August 2025: logging, lab notebooks, overnight runs

📌 How to Develop a Bilingual Voice Assistant 🗂 Category: LLM APPLICATIONS 🕒 Date: 2025-08-31 | ⏱️ Read time: 8 min read Ex
📌 How to Develop a Bilingual Voice Assistant 🗂 Category: LLM APPLICATIONS 🕒 Date: 2025-08-31 | ⏱️ Read time: 8 min read Exploring ways to make voice assistants more personal

📌 The Generalist: The New All-Around Type of Data Professional? 🗂 Category: DATA SCIENCE 🕒 Date: 2025-09-01 | ⏱️ Read time
📌 The Generalist: The New All-Around Type of Data Professional? 🗂 Category: DATA SCIENCE 🕒 Date: 2025-09-01 | ⏱️ Read time: 6 min read Is over-specialization ending and are data generalists on the rise?

📌 Writing Is Thinking 🗂 Category: AUTHOR SPOTLIGHTS 🕒 Date: 2025-09-02 | ⏱️ Read time: 5 min read Egor Howell on breaking
📌 Writing Is Thinking 🗂 Category: AUTHOR SPOTLIGHTS 🕒 Date: 2025-09-02 | ⏱️ Read time: 5 min read Egor Howell on breaking into ML without a CS degree, surviving 80+ interviews, and what…

📌 3 Greedy Algorithms for Decision Trees, Explained with Examples 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-09-02 | ⏱️ Rea
📌 3 Greedy Algorithms for Decision Trees, Explained with Examples 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-09-02 | ⏱️ Read time: 12 min read Learn the inner workings of decision trees

📌 What is Universality in LLMs? How to Find Universal Neurons 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-09-02 | ⏱️ Re
📌 What is Universality in LLMs? How to Find Universal Neurons 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-09-02 | ⏱️ Read time: 5 min read How independently trained transformers form same the neurons

📌 How to Scale Your AI Search to Handle 10M Queries with 5 Powerful Techniques 🗂 Category: CONVERSATIONAL AI 🕒 Date: 2025-
📌 How to Scale Your AI Search to Handle 10M Queries with 5 Powerful Techniques 🗂 Category: CONVERSATIONAL AI 🕒 Date: 2025-09-02 | ⏱️ Read time: 9 min read Optimize your AI search with RAG, contextual retrieval and evaluations

📌 Implementing the Caesar Cipher in Python 🗂 Category: PROGRAMMING 🕒 Date: 2025-09-02 | ⏱️ Read time: 7 min read Julius Ca
📌 Implementing the Caesar Cipher in Python 🗂 Category: PROGRAMMING 🕒 Date: 2025-09-02 | ⏱️ Read time: 7 min read Julius Caesar was a Roman ruler known for his military strategies and excellent leadership. Named…

📌 A Deep Dive into RabbitMQ & Python’s Celery: How to Optimise Your Queues 🗂 Category: PROGRAMMING 🕒 Date: 2025-09-02 | ⏱️
📌 A Deep Dive into RabbitMQ & Python’s Celery: How to Optimise Your Queues 🗂 Category: PROGRAMMING 🕒 Date: 2025-09-02 | ⏱️ Read time: 12 min read Key lessons I’ve learned running RabbitMQ + Celery in production

📌 What Being a Data Scientist at a Startup Really Looks Like 🗂 Category: DATA SCIENCE 🕒 Date: 2025-09-03 | ⏱️ Read time: 9
📌 What Being a Data Scientist at a Startup Really Looks Like 🗂 Category: DATA SCIENCE 🕒 Date: 2025-09-03 | ⏱️ Read time: 9 min read What I learned about growth, visibility, and chaos over the past five years

📌 Stochastic Differential Equations and Temperature — NASA Climate Data pt. 2 🗂 Category: MATH 🕒 Date: 2025-09-03 | ⏱️ Rea
📌 Stochastic Differential Equations and Temperature — NASA Climate Data pt. 2 🗂 Category: MATH 🕒 Date: 2025-09-03 | ⏱️ Read time: 14 min read The Ornstein-Uhlenbeck process in Python

📌 Hands On Time Series Modeling of Rare Events, with Python 🗂 Category: DATA SCIENCE 🕒 Date: 2025-09-03 | ⏱️ Read time: 11
📌 Hands On Time Series Modeling of Rare Events, with Python 🗂 Category: DATA SCIENCE 🕒 Date: 2025-09-03 | ⏱️ Read time: 11 min read This is how to model rare events occurrences in a time series in a few…

📌 AI FOMO, Shadow AI, and Other Business Problems 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-09-03 | ⏱️ Read time: 6
📌 AI FOMO, Shadow AI, and Other Business Problems 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-09-03 | ⏱️ Read time: 6 min read What’s the state of AI in business these days, and how much does it cost…

📌 Useful Python Libraries You Might Not Have Heard Of: Freezegun 🗂 Category: PROGRAMMING 🕒 Date: 2025-09-03 | ⏱️ Read time
📌 Useful Python Libraries You Might Not Have Heard Of:  Freezegun 🗂 Category: PROGRAMMING 🕒 Date: 2025-09-03 | ⏱️ Read time: 12 min read Bring time to a standstill in your Python tests