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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网络:📈 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 40 334 名订阅者，在 技术与应用 类别中位列第 3 331，并在 叙利亚 地区排名第 225 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 40 334 名订阅者。
根据 10 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 383，过去 24 小时变化为 25，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 2.35%。内容发布后 24 小时内通常能获得 1.95% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 948 次浏览，首日通常累积 786 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 11 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。
40 334
订阅者
+2524 小时
+1227 天
+38330 天
帖子存档
40 342
📌 Agentic AI 102: Guardrails and Agent Evaluation
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-05-16 | ⏱️ Read time: 12 min read
An introduction to tools that make your model safer and more predictable and performant.
40 342
📌 The Automation Trap: Why Low-Code AI Models Fail When You Scale
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-05-16 | ⏱️ Read time: 7 min read
Low-code AI platforms promise speed, a model without a single line of code. But when…
40 342
📌 How to Build an AI Journal with LlamaIndex
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-05-16 | ⏱️ Read time: 10 min read
A step-by-step guide for building an AI assistant powered by LlamaIndex
40 342
📌 How to Set the Number of Trees in Random Forest
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-05-16 | ⏱️ Read time: 13 min read
A practical introduction to the optRF package
40 342
📌 Optimizing Multi-Objective Problems with Desirability Functions
🗂 Category: DATA SCIENCE
🕒 Date: 2025-05-20 | ⏱️ Read time: 8 min read
Applied to a very real problem: baking bread!
40 342
📌 I Teach Data Viz with a Bag of Rocks
🗂 Category: DATA SCIENCE
🕒 Date: 2025-05-20 | ⏱️ Read time: 5 min read
Here’s Why Domain-Specific Integration Matters in Your Data Science Workflows
40 342
📌 What the Most Detailed Peer-Reviewed Study on AI in the Classroom Taught Us
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-05-20 | ⏱️ Read time: 8 min read
A meta analysis that turns out positive yet identifies the need for further research
40 342
📌 Building AI Applications in Ruby
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-05-21 | ⏱️ Read time: 15 min read
Why Ruby may be the best language to write your next AI web application
40 342
📌 Use PyTorch to Easily Access Your GPU
🗂 Category: PROGRAMMING
🕒 Date: 2025-05-21 | ⏱️ Read time: 12 min read
Or … how an ML library can accelerate non-ML computations
40 342
📌 Top Machine Learning Jobs and How to Prepare For Them
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-05-21 | ⏱️ Read time: 8 min read
Explaining the different machine learning roles
40 342
📌 About Calculating Date Ranges in DAX
🗂 Category: DATA ANALYSIS
🕒 Date: 2025-05-22 | ⏱️ Read time: 7 min read
When performing date calculations, creating date ranges can be helpful. But how can we do…
40 342
📌 What Statistics Can Tell Us About NBA Coaches
🗂 Category:
🕒 Date: 2025-05-22 | ⏱️ Read time: 10 min read
Using Python to determine where NBA coaches come from and what makes them successful
40 342
📌 Inheritance: A Software Engineering Concept Data Scientists Must Know To Succeed
🗂 Category: PROGRAMMING
🕒 Date: 2025-05-22 | ⏱️ Read time: 12 min read
Coding concepts that distinguish an amateur from a professional data scientist
40 342
📌 Google’s AlphaEvolve: Getting Started with Evolutionary Coding Agents
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-05-22 | ⏱️ Read time: 20 min read
Introduction AlphaEvolve 1 is a promising new coding agent by Google’s DeepMind. Let’s look at…
40 342
📌 Multiple Linear Regression Analysis
🗂 Category: DATA SCIENCE
🕒 Date: 2025-05-22 | ⏱️ Read time: 12 min read
Implementation of multiple linear regression on real data: Assumption checks, model evaluation, and interpretation of…
40 342
📌 How to Evaluate LLMs and Algorithms — The Right Way
🗂 Category: THE VARIABLE
🕒 Date: 2025-05-23 | ⏱️ Read time: 3 min read
This week, we focus on the best strategies for evaluating and benchmarking the performance of…
40 342
📌 Do More with NumPy Array Type Hints: Annotate & Validate Shape & Dtype
🗂 Category: PROGRAMMING
🕒 Date: 2025-05-23 | ⏱️ Read time: 5 min read
Improve static analysis and run-time validation with full generic specification
40 342
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40 342
📌 Estimating Product-Level Price Elasticities Using Hierarchical Bayesian
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-05-23 | ⏱️ Read time: 21 min read
Using one model to personalize ML results
40 342
📌 Prototyping Gradient Descent in Machine Learning
🗂 Category:
🕒 Date: 2025-05-23 | ⏱️ Read time: 10 min read
Mathematical theorem and credit transaction prediction using Stochastic / Batch GD
