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Machine Learning

Machine Learning

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Real Machine Learning β€” simple, practical, and built on experience. Learn step by step with clear explanations and working code. Admin: @HusseinSheikho || @Hussein_Sheikho

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πŸ“ˆ Analytical overview of Telegram channel Machine Learning

Channel Machine Learning (@machinelearning9) in the English language segment is an active participant. Currently, the community unites 40 255 subscribers, ranking 3 343 in the Technologies & Applications category and 227 in the Syria region.

πŸ“Š Audience metrics and dynamics

Since its creation on Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 40 255 subscribers.

According to the latest data from 06 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 336 over the last 30 days and by -4 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 2.25%. Within the first 24 hours after publication, content typically collects 1.88% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 906 views. Within the first day, a publication typically gains 758 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 3.
  • Thematic interests: Content is focused on key topics such as distance, insidead, gpu, learning, degree.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œReal Machine Learning β€” simple, practical, and built on experience. Learn step by step with clear explanations and working code. Admin: @HusseinSheikho || @Hussein_Sheikho”

Thanks to the high frequency of updates (latest data received on 07 July, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

40 255
Subscribers
-424 hours
+917 days
+33630 days
Posts Archive
πŸ“Œ Understanding DDPG: The Algorithm That Solves Continuous Action Control Challenges πŸ—‚ Category: πŸ•’ Date: 2024-12-11 | ⏱️ R
πŸ“Œ Understanding DDPG: The Algorithm That Solves Continuous Action Control Challenges πŸ—‚ Category: πŸ•’ Date: 2024-12-11 | ⏱️ Read time: 11 min read Discover how DDPG solves the puzzle of continuous action control, unlocking possibilities in AI-driven medical…

πŸ“Œ How to Price with Machine Learning πŸ—‚ Category: MACHINE LEARNING πŸ•’ Date: 2024-12-11 | ⏱️ Read time: 6 min read Customizin
πŸ“Œ How to Price with Machine Learning πŸ—‚ Category: MACHINE LEARNING πŸ•’ Date: 2024-12-11 | ⏱️ Read time: 6 min read Customizing neural networks to fit price-response functions

πŸ“Œ Measuring the Cost of Production Issues on Development Teams πŸ—‚ Category: MACHINE LEARNING πŸ•’ Date: 2024-12-11 | ⏱️ Read t
πŸ“Œ Measuring the Cost of Production Issues on Development Teams πŸ—‚ Category: MACHINE LEARNING πŸ•’ Date: 2024-12-11 | ⏱️ Read time: 9 min read Deprioritizing quality sacrifices both software stability and velocity, leading to costly issues. Investing in quality…

πŸ“Œ I’m Doing the Advent of Code 2024 in Python – Day 2 πŸ—‚ Category: DATA SCIENCE πŸ•’ Date: 2024-12-11 | ⏱️ Read time: 5 min re
πŸ“Œ I’m Doing the Advent of Code 2024 in Python – Day 2 πŸ—‚ Category: DATA SCIENCE πŸ•’ Date: 2024-12-11 | ⏱️ Read time: 5 min read Let’s see how many stars we’ll collect.

πŸ“Œ 5 Essential Tips to Build Business Dashboards Stakeholders Love πŸ—‚ Category: DATA SCIENCE πŸ•’ Date: 2024-12-11 | ⏱️ Read ti
πŸ“Œ 5 Essential Tips to Build Business Dashboards Stakeholders Love πŸ—‚ Category: DATA SCIENCE πŸ•’ Date: 2024-12-11 | ⏱️ Read time: 9 min read A practical guide to designing clear, effective, and actionable dashboards for decision-making

πŸ“Œ Navigating Soft Actor-Critic Reinforcement Learning πŸ—‚ Category: MACHINE LEARNING πŸ•’ Date: 2024-12-12 | ⏱️ Read time: 11 m
πŸ“Œ Navigating Soft Actor-Critic Reinforcement Learning πŸ—‚ Category: MACHINE LEARNING πŸ•’ Date: 2024-12-12 | ⏱️ Read time: 11 min read Explanation, Theory, Implementation, Results and Applications to Bioengineering

πŸ“Œ TSMixer: Google’s Innovative Deep Learning Forecasting Model πŸ—‚ Category: ARTIFICIAL INTELLIGENCE πŸ•’ Date: 2024-12-12 | ⏱️
πŸ“Œ TSMixer: Google’s Innovative Deep Learning Forecasting Model πŸ—‚ Category: ARTIFICIAL INTELLIGENCE πŸ•’ Date: 2024-12-12 | ⏱️ Read time: 9 min read Combining lightweight design with high forecasting accuracy

πŸ“Œ ROC AUC Explained: A Beginner’s Guide to Evaluating Classification Models πŸ—‚ Category: DATA SCIENCE πŸ•’ Date: 2025-09-17 |
πŸ“Œ ROC AUC Explained: A Beginner’s Guide to Evaluating Classification Models πŸ—‚ Category: DATA SCIENCE πŸ•’ Date: 2025-09-17 | ⏱️ Read time: 10 min read Understand how ROC curves and AUC help you go beyond accuracy with visuals and examples.

πŸ“Œ Deploying AI Safely and Responsibly πŸ—‚ Category: ARTIFICIAL INTELLIGENCE πŸ•’ Date: 2025-09-17 | ⏱️ Read time: 12 min read E
πŸ“Œ Deploying AI Safely and Responsibly πŸ—‚ Category: ARTIFICIAL INTELLIGENCE πŸ•’ Date: 2025-09-17 | ⏱️ Read time: 12 min read Experts debunk the biggest myths about trustworthy AI

πŸ“Œ Evaluating Your RAG Solution πŸ—‚ Category: LARGE LANGUAGE MODELS πŸ•’ Date: 2025-09-17 | ⏱️ Read time: 15 min read A guide to
πŸ“Œ Evaluating Your RAG Solution πŸ—‚ Category: LARGE LANGUAGE MODELS πŸ•’ Date: 2025-09-17 | ⏱️ Read time: 15 min read A guide to building and evaluating RAG solutions by leveraging LLM-as-a-Judge capabilities.

πŸ“Œ RAG Explained: Understanding Embeddings, Similarity, and Retrieval πŸ—‚ Category: ARTIFICIAL INTELLIGENCE πŸ•’ Date: 2025-09-1
πŸ“Œ RAG Explained: Understanding Embeddings, Similarity, and Retrieval πŸ—‚ Category: ARTIFICIAL INTELLIGENCE πŸ•’ Date: 2025-09-17 | ⏱️ Read time: 10 min read Let’s take a closer look at how the retrieval mechanism works

πŸ“Œ Analysis of Sales Shift in Retail with Causal Impact: A Case Study at Carrefour πŸ—‚ Category: DATA SCIENCE πŸ•’ Date: 2025-09
πŸ“Œ Analysis of Sales Shift in Retail with Causal Impact: A Case Study at Carrefour πŸ—‚ Category: DATA SCIENCE πŸ•’ Date: 2025-09-17 | ⏱️ Read time: 12 min read Applying causal inference to measure the effect of product unavailability on retail sales at Carrefour

πŸ“Œ Data-Driven Decision Making with Sentiment Analysis in R πŸ—‚ Category: NATURAL LANGUAGE PROCESSING πŸ•’ Date: 2025-01-21 | ⏱️
πŸ“Œ Data-Driven Decision Making with Sentiment Analysis in R πŸ—‚ Category: NATURAL LANGUAGE PROCESSING πŸ•’ Date: 2025-01-21 | ⏱️ Read time: 15 min read Leveraging the Quanteda, Textstem and Sentimentr Packages to Extract Customer Insights and Enhance Business Strategy

πŸ“Œ Beyond Causal Language Modeling πŸ—‚ Category: ARTIFICIAL INTELLIGENCE πŸ•’ Date: 2025-01-27 | ⏱️ Read time: 7 min read A deep
πŸ“Œ Beyond Causal Language Modeling πŸ—‚ Category: ARTIFICIAL INTELLIGENCE πŸ•’ Date: 2025-01-27 | ⏱️ Read time: 7 min read A deep dive into β€œNot All Tokens Are What You Need for Pretraining”

πŸ“Œ Extracting Structured Vehicle Data from Images πŸ—‚ Category: πŸ•’ Date: 2025-01-27 | ⏱️ Read time: 10 min read Build an Autom
πŸ“Œ Extracting Structured Vehicle Data from Images πŸ—‚ Category: πŸ•’ Date: 2025-01-27 | ⏱️ Read time: 10 min read Build an Automated Vehicle Documentation System that Extracts Structured Information from Images, using OpenAI API,…

πŸ“Œ Data Valuation – A Concise Overview πŸ—‚ Category: DATA SCIENCE πŸ•’ Date: 2024-12-12 | ⏱️ Read time: 11 min read ChatGPT and
πŸ“Œ Data Valuation – A Concise Overview πŸ—‚ Category: DATA SCIENCE πŸ•’ Date: 2024-12-12 | ⏱️ Read time: 11 min read ChatGPT and similar LLMs were trained on insane amounts of data. OpenAI and Co. scraped…

πŸ“Œ The Economics of Artificial Intelligence, Causal Tools, ChatGPT’s Impact, and Other Holiday Reads πŸ—‚ Category: CHATGPT πŸ•’
πŸ“Œ The Economics of Artificial Intelligence, Causal Tools, ChatGPT’s Impact, and Other Holiday Reads πŸ—‚ Category: CHATGPT πŸ•’ Date: 2024-12-12 | ⏱️ Read time: 5 min read Our weekly selection of must-read Editors’ Picks and original features

πŸ“Œ SQLite in Production: Dreams Becoming Reality πŸ—‚ Category: πŸ•’ Date: 2024-12-12 | ⏱️ Read time: 12 min read On the virtues
πŸ“Œ SQLite in Production: Dreams Becoming Reality πŸ—‚ Category: πŸ•’ Date: 2024-12-12 | ⏱️ Read time: 12 min read On the virtues of radical simplicity

πŸ“Œ Why β€œAI Can’t Reason” Is a Bias πŸ—‚ Category: ARTIFICIAL INTELLIGENCE πŸ•’ Date: 2024-12-12 | ⏱️ Read time: 11 min read We hu
πŸ“Œ Why β€œAI Can’t Reason” Is a Bias πŸ—‚ Category: ARTIFICIAL INTELLIGENCE πŸ•’ Date: 2024-12-12 | ⏱️ Read time: 11 min read We humans are proud creatures

πŸ“Œ CV VideoPlayer – Once and For All πŸ—‚ Category: MACHINE LEARNING πŸ•’ Date: 2024-12-12 | ⏱️ Read time: 6 min read A Python vi
πŸ“Œ CV VideoPlayer – Once and For All πŸ—‚ Category: MACHINE LEARNING πŸ•’ Date: 2024-12-12 | ⏱️ Read time: 6 min read A Python video player package made for computer vision research