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 40 191 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 位。
📊 受众指标与增长动态
自 невідомо 创建以来,项目保持高速增长,吸引了 40 191 名订阅者。
根据 01 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 355,过去 24 小时变化为 21,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 2.04%。内容发布后 24 小时内通常能获得 2.12% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 818 次浏览,首日通常累积 851 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 02 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。
40 191
订阅者
+2124 小时
+857 天
+35530 天
帖子存档
40 197
📌 Structured Outputs and How to Use Them
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2024-08-09 | ⏱️ Read time: 5 min read
Building robustness and determinism in LLM applications
40 197
📌 Improving Code Quality During Data Transformation with Polars
🗂 Category:
🕒 Date: 2024-08-09 | ⏱️ Read time: 6 min read
Optimize your data workflows with Polars by improving code quality and refining transformations with these…
40 197
📌 Running a SOTA 7B Parameter Embedding Model on a Single GPU
🗂 Category:
🕒 Date: 2024-08-09 | ⏱️ Read time: 19 min read
In this post I will explain how to run a state-of-the-art 7B parameter LLM based…
40 197
📌 Algorithm-Agnostic Model Building with MLflow
🗂 Category: MACHINE LEARNING
🕒 Date: 2024-08-10 | ⏱️ Read time: 10 min read
A beginner-friendly step-by-step guide to creating generic ML pipelines using mlflow.pyfunc
40 197
📌 Data Scaling 101: Standardization and Min-Max Scaling Explained
🗂 Category: DATA ENGINEERING
🕒 Date: 2024-08-10 | ⏱️ Read time: 5 min read
When to use MinMaxScaler vs StandardScaler vs something else
40 197
📌 Which Regression technique should you use?
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2024-08-10 | ⏱️ Read time: 12 min read
Here’s a taxonomy of what is the best regression technique based on your specific dataset
40 197
📌 Denormalisation: Thoughtful Optimisation or Irrational Avant-Garde?
🗂 Category: DATA SCIENCE
🕒 Date: 2024-08-10 | ⏱️ Read time: 19 min read
Perspective on Performance Optimisation and Data Quality
40 197
📌 Introduction to Support Vector Machines - Motivation and Basics
🗂 Category: DATA SCIENCE
🕒 Date: 2024-08-10 | ⏱️ Read time: 8 min read
Learn basic concepts that make Support Vector Machine a powerful linear classifier
40 197
📌 Accelerating AI/ML Model Training with Custom Operators
🗂 Category: MACHINE LEARNING
🕒 Date: 2024-08-11 | ⏱️ Read time: 18 min read
On the potential benefits of creating model-specific GPU kernels and their application to optimizing the…
40 197
📌 Top Career Websites for Data Engineers
🗂 Category: ANALYTICS
🕒 Date: 2024-08-11 | ⏱️ Read time: 9 min read
How to find fantastic remote jobs and get hired
40 197
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40 197
📌 How to practice data analyst interviews with AI
🗂 Category:
🕒 Date: 2024-08-12 | ⏱️ Read time: 8 min read
Using LLMs to generate synthetic data and code
40 197
📌 AI Agents – From Concepts to Practical Implementation in Python
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2024-08-12 | ⏱️ Read time: 12 min read
This will change the way you think about AI and its capabilities
40 197
📌 Advanced Recursive and Follow-Up Retrieval Techniques For Better RAGs
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2024-08-12 | ⏱️ Read time: 18 min read
Breaking the problem solves half of it. Chaining them makes it even better.
40 197
📌 The Poisson Bootstrap
🗂 Category: STATISTICS
🕒 Date: 2024-08-12 | ⏱️ Read time: 10 min read
Bootstrapping over large datasets
40 197
📌 New Approach for Training Physical (as Opposed to Computer-Based) Artificial Neural Networks
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2024-08-12 | ⏱️ Read time: 7 min read
Neural networks built from light waves could allow for much more versatile, scalable, and energy-efficient…
40 197
📌 LLM-Powered Parsing and Analysis of Semi-Structured & Structured Documents
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2024-08-12 | ⏱️ Read time: 20 min read
This article shows how to extract desired or key information from semi-structured or unstructured information…
40 197
Already run a farm? Diversify: keep the GPUs for what they do best and add NFT mining to smooth cash flow. Padma’s loop is simple — quests, mints, and staking — with predictable reward windows and clear stats from day one.
Start now!
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40 197
Ever wondered why one sip of wine can transport you to a hidden corner of the world? Unlock the secrets behind legendary bottles, rare grape finds, and iconic regions — all explained without snobbery, just pure passion. Taste history, culture, and discovery in every post at this spot.
Pour yourself a glass of knowledge and join the club now — the next great story is waiting!
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40 197
📌 My Honest Advice for Someone Who Wants to Become a Data Scientist
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2024-08-12 | ⏱️ Read time: 7 min read
What I wish someone would tell me before studying data science
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