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:Machine Learning with Python 叙利亚228 技术与应用3 344...

📈 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 40 221 名订阅者，在 技术与应用 类别中位列第 3 344，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 40 221 名订阅者。

根据 03 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 338，过去 24 小时变化为 9，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 2.42% 的反应，占订阅者总量。
帖子覆盖： 每篇帖子平均可获得 822 次浏览，首日通常累积 973 次浏览。
互动与反馈： 受众积极参与，单帖平均反应数为 3。
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 04 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。

40 221

订阅者

+924 小时

+727 天

+33830 天

822

帖子浏览量

~ 97324 小时

~ 1 32148 小时

2.04%

参与率

~ 3

每日帖子数

Ads index

beta

帖子存档

40 224

📌 Calculating the Uncertainty Coefficient (Theil’s U) in Python 🗂 Category: PROBABILITY 🕒 Date: 2024-10-18 | ⏱️ Read time: 5 min read A measure of correlation between discrete (categorical) variables

40 224

📌 All you need to know about Non-Inferiority Hypothesis Test 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-18 | ⏱️ Read time: 6 min read A non-inferiority test proves that a new treatment is not worse than the standard by…

40 224

📌 Implementing Anthropic’s Contextual Retrieval for Powerful RAG Performance 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-10-18 | ⏱️ Read time: 16 min read This article will show you how to implement the contextual retrieval idea proposed by Anthropic

40 224

📌 Implementing “Modular RAG” with Haystack and Hypster 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-18 | ⏱️ Read time: 13 min read Transforming RAG Systems into LEGO-like Reconfigurable Frameworks

40 224

📌 Cognitive Prompting in LLMs 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-10-19 | ⏱️ Read time: 9 min read Can we teach machines to think like humans?

40 224

📌 Evaluating Model Retraining Strategies 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-10-20 | ⏱️ Read time: 11 min read How data drift and concept drift matter to choose the right retraining strategy?

40 224

📌 Linked Lists – Data Structures & Algorithms for Data Scientists 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-21 | ⏱️ Read time: 6 min read How linked lists and queues work under the hood

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📌 SQL and Data Modelling in Action: A Deep Dive into Data Lakehouses 🗂 Category: SQL 🕒 Date: 2024-10-21 | ⏱️ Read time: 12 min read Lakehouses as a continuation of data warehouses and data lakes. What is this architecture about?

40 224

📌 Efficient Document Chunking Using LLMs: Unlocking Knowledge One Block at a Time 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-21 | ⏱️ Read time: 9 min read This article explains how to use an LLM (Large Language Model) to perform the chunking…

40 224

📌 The Power of Optimization in Designing Experiments Involving Small Samples 🗂 Category: 🕒 Date: 2024-10-21 | ⏱️ Read time: 11 min read A step-by-step guide to designing more precise experiments using optimization in Python

40 224

📌 Don’t Do Laundry Today, It Will Be Cheaper Tomorrow 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-21 | ⏱️ Read time: 19 min read Analysing electricity price changes in London through causal inference

40 224

📌 Awesome Plotly with Code Series (Part 1): Alternatives to Bar Charts 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-21 | ⏱️ Read time: 14 min read A bar chart is not always the best solution.

40 224

📌 OLAP is Dead – Or Is It ? 🗂 Category: ANALYTICS 🕒 Date: 2024-10-21 | ⏱️ Read time: 16 min read OLAP’s fate in the age of modern analytics

40 224

📌 Unleash the Power of Probability to Predict the Future of Your Business 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-21 | ⏱️ Read time: 14 min read A Practical Guide to Applying Probability Concepts with Python in Real-World Contexts

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📌 Discretization, Explained: A Visual Guide with Code Examples for Beginners 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-22 | ⏱️ Read time: 10 min read 6 fun ways to categorize numbers into bins!

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📌 Using Vector Steering to Improve Model Guidance 🗂 Category: 🕒 Date: 2024-10-22 | ⏱️ Read time: 10 min read Exploring the Research on Vector Steering and Coding Up an Implementation

40 224

📌 Game Theory, Part 1 – The Prisoner’s Dilemma Problem 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-22 | ⏱️ Read time: 7 min read Game theory is prevalent in real-life scenarios and decision-making

40 224

📌 Why Scaling Works: Inductive Biases vs The Bitter Lesson 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-22 | ⏱️ Read time: 11 min read Building deep insights with a toy problem

40 224

📌 Deep Learning vs Data Science: Who Will Win? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-22 | ⏱️ Read time: 14 min read What is more important, your data or your model?

40 224

📌 Self-Service ML with Relational Deep Learning 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-22 | ⏱️ Read time: 8 min read Do ML directly on your relational database