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 Syria228 Technologies & Applications3 344...

📈 Analytical overview of Telegram channel Machine Learning

Channel Machine Learning (@machinelearning9) in the English language segment is an active participant. Currently, the community unites 40 221 subscribers, ranking 3 344 in the Technologies & Applications category and 228 in the Syria region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 40 221 subscribers.

According to the latest data from 03 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 338 over the last 30 days and by 9 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 2.04%. Within the first 24 hours after publication, content typically collects 2.42% reactions from the total number of subscribers.
Post reach: On average, each post receives 822 views. Within the first day, a publication typically gains 973 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.

📝 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 04 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.

40 221

Subscribers

+924 hours

+727 days

+33830 days

822

Post views

~ 97324 hours

~ 1 32148 hours

2.04%

Engagement rate

~ 3

Posts per day

Ads index

beta

Posts Archive

40 224

📌 Calculating the Uncertainty Coefficient (Theil’s U) in Python 🗂 Category: PROBABILITY 🕒 Date: 2024-10-18 | ⏱️ Read time: 5 min read A measure of correlation between discrete (categorical) variables

40 224

📌 All you need to know about Non-Inferiority Hypothesis Test 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-18 | ⏱️ Read time: 6 min read A non-inferiority test proves that a new treatment is not worse than the standard by…

40 224

📌 Implementing Anthropic’s Contextual Retrieval for Powerful RAG Performance 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-10-18 | ⏱️ Read time: 16 min read This article will show you how to implement the contextual retrieval idea proposed by Anthropic

40 224

📌 Implementing “Modular RAG” with Haystack and Hypster 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-18 | ⏱️ Read time: 13 min read Transforming RAG Systems into LEGO-like Reconfigurable Frameworks

40 224

📌 Cognitive Prompting in LLMs 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-10-19 | ⏱️ Read time: 9 min read Can we teach machines to think like humans?

40 224

📌 Evaluating Model Retraining Strategies 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-10-20 | ⏱️ Read time: 11 min read How data drift and concept drift matter to choose the right retraining strategy?

40 224

📌 Linked Lists – Data Structures & Algorithms for Data Scientists 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-21 | ⏱️ Read time: 6 min read How linked lists and queues work under the hood

40 224

📌 SQL and Data Modelling in Action: A Deep Dive into Data Lakehouses 🗂 Category: SQL 🕒 Date: 2024-10-21 | ⏱️ Read time: 12 min read Lakehouses as a continuation of data warehouses and data lakes. What is this architecture about?

40 224

📌 Efficient Document Chunking Using LLMs: Unlocking Knowledge One Block at a Time 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-21 | ⏱️ Read time: 9 min read This article explains how to use an LLM (Large Language Model) to perform the chunking…

40 224

📌 The Power of Optimization in Designing Experiments Involving Small Samples 🗂 Category: 🕒 Date: 2024-10-21 | ⏱️ Read time: 11 min read A step-by-step guide to designing more precise experiments using optimization in Python

40 224

📌 Don’t Do Laundry Today, It Will Be Cheaper Tomorrow 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-21 | ⏱️ Read time: 19 min read Analysing electricity price changes in London through causal inference

40 224

📌 Awesome Plotly with Code Series (Part 1): Alternatives to Bar Charts 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-21 | ⏱️ Read time: 14 min read A bar chart is not always the best solution.

40 224

📌 OLAP is Dead – Or Is It ? 🗂 Category: ANALYTICS 🕒 Date: 2024-10-21 | ⏱️ Read time: 16 min read OLAP’s fate in the age of modern analytics

40 224

📌 Unleash the Power of Probability to Predict the Future of Your Business 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-21 | ⏱️ Read time: 14 min read A Practical Guide to Applying Probability Concepts with Python in Real-World Contexts

40 224

📌 Discretization, Explained: A Visual Guide with Code Examples for Beginners 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-22 | ⏱️ Read time: 10 min read 6 fun ways to categorize numbers into bins!

40 224

📌 Using Vector Steering to Improve Model Guidance 🗂 Category: 🕒 Date: 2024-10-22 | ⏱️ Read time: 10 min read Exploring the Research on Vector Steering and Coding Up an Implementation

40 224

📌 Game Theory, Part 1 – The Prisoner’s Dilemma Problem 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-22 | ⏱️ Read time: 7 min read Game theory is prevalent in real-life scenarios and decision-making

40 224

📌 Why Scaling Works: Inductive Biases vs The Bitter Lesson 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-22 | ⏱️ Read time: 11 min read Building deep insights with a toy problem

40 224

📌 Deep Learning vs Data Science: Who Will Win? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-22 | ⏱️ Read time: 14 min read What is more important, your data or your model?

40 224

📌 Self-Service ML with Relational Deep Learning 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-22 | ⏱️ Read time: 8 min read Do ML directly on your relational database