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3 336...

📈 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 40 237 名订阅者，在 技术与应用 类别中位列第 3 336，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 40 237 名订阅者。

根据 04 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 16，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 1.92%。内容发布后 24 小时内通常能获得 1.89% 的反应，占订阅者总量。
帖子覆盖： 每篇帖子平均可获得 771 次浏览，首日通常累积 761 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 05 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。

40 237

订阅者

+1624 小时

+837 天

+34330 天

771

帖子浏览量

~ 76124 小时

~ 1 00448 小时

1.92%

参与率

~ 3

每日帖子数

Ads index

beta

帖子存档

40 247

📌 Jointly learning rewards and policies: an iterative Inverse Reinforcement Learning framework with… 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-11-10 | ⏱️ Read time: 13 min read A novel tractable and interpretable algorithm to learn from expert demonstrations

40 247

📌 AdaBoost Classifier, Explained: A Visual Guide with Code Examples 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-10 | ⏱️ Read time: 15 min read Putting the weight where weak learners need it most

40 247

📌 My Medium Journey as a Data Scientist: 6 Months, 18 Articles, and 3,000 Followers 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-11 | ⏱️ Read time: 10 min read Real numbers, earnings, and data-driven growth strategy for Medium writers

40 247

📌 Advanced Time Series Forecasting With sktime 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-11 | ⏱️ Read time: 9 min read Learn how to optimize model hyperparameters and even the architecture in a few lines of…

40 247

📌 Calibrating Marketing Mix Models In Python 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-11 | ⏱️ Read time: 12 min read Part 2 of a hands-on guide to help you master MMM in pymc

40 247

📌 Detecting Anomalies in Social Media Volume Time Series 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-11 | ⏱️ Read time: 6 min read How I detect anomalies in social Media volumes: A Residual-Based Approach

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📌 Why ETL-Zero? Understanding the shift in Data Integration 🗂 Category: 🕒 Date: 2024-11-11 | ⏱️ Read time: 11 min read When I was preparing for the Salesforce Data Cloud certification, I came across the term…

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📌 Bessel’s Correction: Why Do We Divide by n−1 Instead of n in Sample Variance? 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-11-11 | ⏱️ Read time: 9 min read Understanding the Unbiased Estimation of Population Variance

40 247

📌 Decoding One-Hot Encoding: A Beginner’s Guide to Categorical Data 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-11 | ⏱️ Read time: 6 min read Learning to transform categorical data into a format that a machine learning model can understand

40 247

📌 NER in Czech Documents with XLM-RoBERTa using Accelerate 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-12 | ⏱️ Read time: 10 min read Decisions I made during the development of a document processing model that was successfully deployed

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📌 Economics of Hosting Open Source LLMs 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-12 | ⏱️ Read time: 23 min read Leveraging various deployment options

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📌 From Parallel Computing Principles to Programming for CPU and GPU Architectures 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-11-12 | ⏱️ Read time: 23 min read For early ML Engineers and Data Scientists, to understand memory fundamentals, parallel execution, and how…

40 247

📌 Beyond RAG: Precision Filtering in a Semantic World 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-11-12 | ⏱️ Read time: 9 min read Aligning expectations with reality by using traditional ML to bridge the gap in a LLM’s…

40 247

📌 Reporting in Excel Could Be Costing Your Business More Than You Think – Here’s How to Fix It… 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-12 | ⏱️ Read time: 7 min read Discover how you can save hours, eliminate costly data errors, and free up your team…

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📌 Boosting Algorithms in Machine Learning, Part II: Gradient Boosting 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-11-12 | ⏱️ Read time: 11 min read Uncovering a simple yet powerful, award-winning machine learning algorithm

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📌 Game Theory, Part 3 – You are the average of the five people you spend the most time with 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-13 | ⏱️ Read time: 5 min read Is Tit-for-tat the best strategy in the Iterated Prisoner’s Dilemma game?

40 247

📌 Increase Trust in Your Regression Model The Easy Way 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-13 | ⏱️ Read time: 5 min read How to use Conformalized Quantile Regression

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📌 The Ultimate Guide to Evaluating the Impact of Outlier Treatment in Time Series 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-11-13 | ⏱️ Read time: 22 min read Sensitivity Analysis, Model Validation, Feature Importance & More!

40 247

📌 Nobody Puts AI in a Corner! 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-13 | ⏱️ Read time: 9 min read Two short anecdotes about transformations, and what it takes if you want to become “AI-enabled”

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📌 Demystifying the Correlation Matrix in Data Science 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-13 | ⏱️ Read time: 16 min read Understanding the Connections Between Variables: A Comprehensive Guide to Correlation Matrices and Their Applications