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227 技术与应用3 375...

📈 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 40 145 名订阅者，在 技术与应用 类别中位列第 3 375，并在 叙利亚 地区排名第 227 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 40 145 名订阅者。

根据 28 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 378，过去 24 小时变化为 7，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 2.09%。内容发布后 24 小时内通常能获得 1.91% 的反应，占订阅者总量。
帖子覆盖： 每篇帖子平均可获得 841 次浏览，首日通常累积 766 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 29 六月, 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。

40 145

订阅者

+724 小时

+1147 天

+37830 天

841

帖子浏览量

~ 76624 小时

~ 1 08948 小时

2.09%

参与率

~ 3

每日帖子数

Ads index

beta

帖子存档

40 147

📌 A New Method to Detect “Confabulations” Hallucinated by Large Language Models 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-25 | ⏱️ Read time: 12 min read By calculating semantic entropy with a second LLM, we can better flag answers as unreliable…

40 147

📌 Making LLMs Write Better and Better Code for Self-Driving Using LangProp 🗂 Category: CHATGPT 🕒 Date: 2024-06-25 | ⏱️ Read time: 11 min read Analogy from classical machine learning: LLM (Large Language Model) = optimizer; code = parameters; LangProp…

40 147

📌 Improving RAG Performance Using Rerankers 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-25 | ⏱️ Read time: 11 min read A tutorial on using rerankers to improve your RAG pipeline

40 147

📌 The Intuitive Basics of Optimization 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-26 | ⏱️ Read time: 14 min read A gentle introduction to the amazing field of optimization

40 147

📌 Business Planning with Python – Revenue Optimization 🗂 Category: BUSINESS 🕒 Date: 2024-06-26 | ⏱️ Read time: 14 min read How can you use data analytics to help small businesses maximize their revenue while maintaining…

40 147

📌 How Bend Works: A Parallel Programming Language That “Feels Like Python but Scales Like CUDA” 🗂 Category: 🕒 Date: 2024-06-26 | ⏱️ Read time: 26 min read A brief introduction to Lambda Calculus, Interaction Combinators, and how they are used to parallelize…

40 147

📌 The Ultimate Guide to Finding Outliers in Your Time-Series Data (Part 2) 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-26 | ⏱️ Read time: 1 min read Effective machine learning methods and tools for outlier detection in time-series analysis

40 147

📌 A Complete Guide to Master Step Functions on AWS 🗂 Category: SCIENCE AND TECHNOLOGY 🕒 Date: 2024-06-27 | ⏱️ Read time: 10 min read Workflow orchestration made easier

40 147

📌 3 Challenges to Being a Data Scientist in 2024 🗂 Category: CAREER ADVICE 🕒 Date: 2024-06-27 | ⏱️ Read time: 7 min read Given the current climate, is data science for you?

40 147

📌 Classification Loss Functions: Intuition and Applications 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-27 | ⏱️ Read time: 9 min read A simpler way to understand derivations of loss functions for classification and when/how to apply…

40 147

📌 Prompt Engineering: Tips, Approaches, and Future Directions 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-27 | ⏱️ Read time: 5 min read Our weekly selection of must-read Editors’ Picks and original features

40 147

📌 Understanding Transformers 🗂 Category: DEEP LEARNING 🕒 Date: 2024-06-27 | ⏱️ Read time: 12 min read A straightforward breakdown of “Attention is All You Need”¹

40 147

📌 I Invented a Way to Speak to an AI, Keeping Your Privacy 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-28 | ⏱️ Read time: 9 min read The tech is called “Silent Voice.”

40 147

📌 The Math Behind Risk – Part 1 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-28 | ⏱️ Read time: 11 min read Does the attack really have an advantage in the game of world conquest?

40 147

📌 The History of Convolutional Neural Networks for Image Classification (1989- Today) 🗂 Category: DEEP LEARNING 🕒 Date: 2024-06-28 | ⏱️ Read time: 18 min read A tour through the history of Computer Vision!

40 147

📌 Safeguarding Demand Forecasting with Causal Graphs 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-28 | ⏱️ Read time: 11 min read Causal AI, exploring the integration of causal reasoning into machine learning

40 147

📌 Diving Deep into AutoGen and Agentic Frameworks 🗂 Category: 🕒 Date: 2024-06-28 | ⏱️ Read time: 13 min read This blog post will go into the details of the “AutoGen: Enabling Next-Gen LLM Applications…

40 147

📌 Estimate the unobserved – Moving-Average Model Estimation with Maximum Likelihood in Python 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-28 | ⏱️ Read time: 8 min read How unobserved covariates’ coefficients can be estimated with MLE

40 147

📌 CRAG – Intuitively and Exhaustively Explained 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-28 | ⏱️ Read time: 13 min read Defining the Limits of Retrieval Augmented Generation

40 147

📌 System Design: Load Balancer 🗂 Category: 🕒 Date: 2024-06-28 | ⏱️ Read time: 9 min read Orchestrating strategies for optimal workload distribution in microservice applications