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3 365...

📈 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 40 202 名订阅者，在 技术与应用 类别中位列第 3 365，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 40 202 名订阅者。

根据 02 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 343，过去 24 小时变化为 10，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 1.99%。内容发布后 24 小时内通常能获得 2.28% 的反应，占订阅者总量。
帖子覆盖： 每篇帖子平均可获得 800 次浏览，首日通常累积 915 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 03 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。

40 202

订阅者

+1024 小时

+837 天

+34330 天

800

帖子浏览量

~ 91524 小时

~ 1 23548 小时

1.99%

参与率

~ 3

每日帖子数

Ads index

beta

帖子存档

40 198

📌 How I Used Clustering to Improve Chunking and Build Better RAGs 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-04 | ⏱️ Read time: 8 min read It’s both fast and cost-effective

40 198

📌 Batch And Streaming Demystified For Unification 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-09-04 | ⏱️ Read time: 29 min read Understand how batch can be considered a subset of streaming and why data engineering should…

40 198

📌 How to Train a Vision Transformer (ViT) from Scratch 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-04 | ⏱️ Read time: 13 min read A practical guide to implementing the Vision Transformer (ViT)

40 198

📌 Hands-On Global Optimization Methods, with Python 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-04 | ⏱️ Read time: 15 min read Four methods to find the maximum (or minimum) of your black box objective function

40 198

📌 Monte Carlo Methods for Solving Reinforcement Learning Problems 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-09-04 | ⏱️ Read time: 20 min read Dissecting “Reinforcement Learning” by Richard S. Sutton with Custom Python Implementations, Episode III

40 198

📌 Automated Prompt Engineering: The Definitive Hands-On Guide 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-09-04 | ⏱️ Read time: 26 min read Learn how to automate prompt engineering and unlock significant performance improvements in your LLM workload

40 198

📌 Understanding Time Series Structural Changes 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-04 | ⏱️ Read time: 7 min read How to detect time series change points using Python

40 198

📌 Your Pathway to Success: How You Can Land a Machine Learning and Data Science Internship 🗂 Category: CAREER ADVICE 🕒 Date: 2024-09-04 | ⏱️ Read time: 18 min read Advice and tips from a data scientist who landed two internships in a year

40 198

📌 Peer Review Demystified: What, Why, and How 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-09-04 | ⏱️ Read time: 12 min read Learnings as an AI & Robotics Associate Editor with 100 Peer Reviews

40 198

📌 GPTs and the Forehead Detective 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-05 | ⏱️ Read time: 14 min read Are the reasoning capabilities of OpenAI LLMs good enough to play the classic guessing game?

40 198

📌 My Weekly Calendar as a Senior Data Science Manager 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-05 | ⏱️ Read time: 17 min read My goal is to cover the 3Ps: People, Projects and Process. In that order of…

40 198

📌 The Latest on LLMs: Decision-Making, Knowledge Graphs, Reasoning Skills, and More 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-05 | ⏱️ Read time: 5 min read Our weekly selection of must-read Editors’ Picks and original features

40 198

📌 How to Make an Advanced Spider Chart in Python 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-05 | ⏱️ Read time: 8 min read Step-by-step explanation with an easy to use function at the end

40 198

📌 Image Segmentation With K-Means Clustering 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-09-05 | ⏱️ Read time: 11 min read An introduction with Python

40 198

📌 An Introduction to Bayesian A/B Testing 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-09-05 | ⏱️ Read time: 7 min read Gain better insights from your data

40 198

📌 How to Create a Custom Matplotlib Theme and Make Your Charts Go from Boring to Amazing 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-05 | ⏱️ Read time: 6 min read The best part? You’ll only have to do this once.

40 198

📌 Building a Multilingual Multi-Agent Chat Application Using LangGraph – Part I 🗂 Category: 🕒 Date: 2024-09-06 | ⏱️ Read time: 12 min read In this 3-part series, learn how to build a RAG-based, multilingual, agentic chat application to…

40 198

📌 Reasoning as the Engine Driving Legal Arguments 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-06 | ⏱️ Read time: 12 min read Statements of reasoning indicate types of argument

40 198

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40 198

📌 A Guide to Clustering Algorithms 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-06 | ⏱️ Read time: 6 min read An overview of clustering and the different families of clustering algorithms.