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3 352...

📈 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 40 205 名订阅者，在 技术与应用 类别中位列第 3 352，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 40 205 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。

40 205

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

40 206

📌 Bayesian Linear Regression: A Complete Beginner’s guide 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-14 | ⏱️ Read time: 11 min read A workflow and code walkthrough for building a Bayesian regression model in STAN

40 206

📌 Build a Tokenizer for the Thai Language from Scratch 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-14 | ⏱️ Read time: 16 min read A step-by-step guide to building a Thai multilingual sub-word tokenizer based on a BPE algorithm…

40 206

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40 206

📌 A Powerful Feature for Boosting Python Code Efficiency and Streamlining Complex Workflows 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-15 | ⏱️ Read time: 10 min read All you need to know about Python loops

40 206

📌 Applications of Rolling Windows for Time Series, with Python 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-15 | ⏱️ Read time: 12 min read Here’s some powerful applications of Rolling Windows and Time Series

40 206

📌 Introducing NumPy, Part 3: Manipulating Arrays 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-15 | ⏱️ Read time: 7 min read Shaping, transposing, joining, and splitting arrays

40 206

📌 OpenAI o1: Is This the Enigmatic Force That Will Reshape Every Knowledge Sector We Know? 🗂 Category: CHATGPT 🕒 Date: 2024-09-16 | ⏱️ Read time: 7 min read My first encounters with the o1 model

40 206

📌 ASCVIT V1: Automatic Statistical Calculation, Visualization and Interpretation Tool 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-16 | ⏱️ Read time: 38 min read Automated data analysis made easy: The first version of ASCVIT the tool for statistical calculation,…

40 206

📌 What Makes a Great Data Business 🗂 Category: BUSINESS 🕒 Date: 2024-09-16 | ⏱️ Read time: 8 min read Including an easy-to-use data business evaluation cheat sheet

40 206

📌 Temporal-Difference Learning and the Importance of Exploration: An Illustrated Guide 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-10-01 | ⏱️ Read time: 18 min read Comparing model-free and model-based RL methods on a dynamic grid world

40 206

📌 GPU Accelerated Polars – Intuitively and Exhaustively Explained 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-17 | ⏱️ Read time: 16 min read Fast Dataframes for Big Problems

40 206

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40 206

📌 Building RAGs Without A Retrieval Model Is a Terrible Mistake 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-17 | ⏱️ Read time: 10 min read Here are my favorite techniques – one is faster, the other is more accurate.

40 206

📌 The Mystery Behind the PyTorch Automatic Mixed Precision Library 🗂 Category: DEEP LEARNING 🕒 Date: 2024-09-17 | ⏱️ Read time: 9 min read How to get 2X speed up model training using three lines of code

40 206

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40 206

📌 Introduction to Maximum Likelihood Estimates 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-18 | ⏱️ Read time: 9 min read Learn about Maximum Likelihood Estimates via their application for next-word prediction

40 206

📌 Unlocking Business Potential Through Effective Customer Segmentation 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-18 | ⏱️ Read time: 9 min read Transform your data into actionable insights with customer segmentation for improved engagement and profitability

40 206

📌 Asking for Feedback as a Data Scientist Individual Contributor 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-18 | ⏱️ Read time: 17 min read Receive clear and useful feedback. Ditch generic questions. More than 60 example questions for you…

40 206

📌 Under the Hood: How DAX Works with Filters 🗂 Category: POWER BI 🕒 Date: 2025-10-01 | ⏱️ Read time: 6 min read Have you ever wondered how DAX works with filters in Measures? Today, I take a…

40 206

📌 Visual Pollen Classification Using CNNs and Vision Transformers 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-10-01 | ⏱️ Read time: 19 min read Filling the data gap: A machine learning approach to pollen identification in ecology and biotechnology