Machine Learning

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

Network:Machine Learning with Python Syria225 Technologies & Applications3 327...

📈 Analytical overview of Telegram channel Machine Learning

Channel Machine Learning (@machinelearning9) in the English language segment is an active participant. Currently, the community unites 40 373 subscribers, ranking 3 327 in the Technologies & Applications category and 225 in the Syria region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 40 373 subscribers.

According to the latest data from 12 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 399 over the last 30 days and by 24 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 2.42%. Within the first 24 hours after publication, content typically collects 1.74% reactions from the total number of subscribers.
Post reach: On average, each post receives 979 views. Within the first day, a publication typically gains 703 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 4.
Thematic interests: Content is focused on key topics such as distance, insidead, gpu, learning, degree.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Real Machine Learning — 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 13 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.

40 373

Subscribers

+2424 hours

+1257 days

+39930 days

979

Post views

~ 70324 hours

~ 95648 hours

2.42%

Engagement rate

~ 2

Posts per day

Ads index

beta

Posts Archive

40 373

📌 Water Cooler Small Talk, Ep 8: Should ChatGPT Be Blocked at Work? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-08-19 | ⏱️ Read time: 9 min read Water cooler small talk is a special kind of small talk, typically observed in office…

40 373

📌 Advanced Prompt Engineering for Data Science Projects 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-08-19 | ⏱️ Read time: 11 min read Part 2: Prompt Engineering for Features, Modeling, and Evaluation

40 373

📌 Capturing and Deploying PyTorch Models with torch.export 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-08-19 | ⏱️ Read time: 18 min read A demonstration of PyTorch’s exciting new export feature on a HuggingFace model

40 373

📌 Help Your Model Learn the True Signal 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-08-19 | ⏱️ Read time: 15 min read An algorithm-agnostic approach inspired by Cook’s distance

40 373

📌 Mastering NLP with spaCy – Part 3 🗂 Category: DATA SCIENCE 🕒 Date: 2025-08-19 | ⏱️ Read time: 7 min read Rule-based matching for information extraction

40 373

📌 Building a Modern Dashboard with Python and Tkinter 🗂 Category: PROGRAMMING 🕒 Date: 2025-08-19 | ⏱️ Read time: 20 min read Create polished GUIs and data dashboards with this versatile library

40 373

📌 The Upstream Mentality: Why AI/ML Engineers Must Think Beyond the Model 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-08-20 | ⏱️ Read time: 13 min read Your 3am production alert isn’t a model problem—it’s an upstream crisis in disguise

40 373

📌 “Where’s Marta?”: How We Removed Uncertainty From AI Reasoning 🗂 Category: LLM APPLICATIONS 🕒 Date: 2025-08-20 | ⏱️ Read time: 12 min read A primer on overcoming LLM limitations with formal verification.

40 373

📌 Smarter Model Tuning: An AI Agent with LangGraph + Streamlit That Boosts ML Performance 🗂 Category: AGENTIC AI 🕒 Date: 2025-08-20 | ⏱️ Read time: 12 min read Automating model tuning in Python with Gemini, LangGraph, and Streamlit for regression and classification improvements

40 373

📌 AI Agents for Supply Chain Optimisation: Production Planning 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-08-20 | ⏱️ Read time: 9 min read How to integrate an optimisation algorithm in a FastAPI microservice and connect it with an…

40 373

📌 Everything You Need to Know About the New Power BI Storage Mode 🗂 Category: DATA SCIENCE 🕒 Date: 2025-08-20 | ⏱️ Read time: 18 min read 50 Shades of Direct Lake

40 373

📌 From LangExtract to LangGraph: LLM Optimization, Explained 🗂 Category: THE VARIABLE 🕒 Date: 2025-08-21 | ⏱️ Read time: 3 min read Cutting-edge workflows, new libraries, and more

40 373

📌 Designing Trustworthy ML Models: Alan & Aida Discover Monotonicity in Machine Learning 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-08-21 | ⏱️ Read time: 5 min read Accuracy alone doesn’t guarantee trustworthiness. Monotonicity ensures predictions align with common sense and business rules.

40 373

📌 Where Hurricanes Hit Hardest: A County-Level Analysis with Python 🗂 Category: DATA SCIENCE 🕒 Date: 2025-08-21 | ⏱️ Read time: 15 min read Use Python, GeoPandas, Tropycal, and Plotly Express to map the number of hurricane encounters per…

40 373

📌 What If I Had AI in 2020: Rent The Runway Dynamic Pricing Model 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-08-21 | ⏱️ Read time: 7 min read Ever wondered how different things might have been if ChatGPT had existed at the start…

40 373

📌 How to Perform Comprehensive Large Scale LLM Validation 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-08-21 | ⏱️ Read time: 9 min read Learn how to validate large scale LLM applications

40 373

📌 Cracking the Density Code: Why MAF Flows Where KDE Stalls 🗂 Category: STATISTICS 🕒 Date: 2025-08-22 | ⏱️ Read time: 12 min read Learn why autoregressive flows are the superior density estimation tool for high-dimensional data

40 373

📌 Three Essential Hyperparameter Tuning Techniques for Better Machine Learning Models 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-08-22 | ⏱️ Read time: 7 min read Learn how to optimize your ML models for better results

40 373

📌 Is Google’s Reveal of Gemini’s Impact Progress or Greenwashing? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-08-22 | ⏱️ Read time: 6 min read On the surface, Google’s numbers sound reassuringly small, but the more closely you look, the…

40 373

📌 Systematic LLM Prompt Engineering Using DSPy Optimization 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-08-25 | ⏱️ Read time: 27 min read This article is a journey into the fascinating and rapidly evolving science of LLM prompt…