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 Syria227 Technologies & Applications3 343...

📈 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.

📊 Audience metrics and dynamics

Since its creation on невідомо, 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.

📝 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 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

906

Post views

~ 75824 hours

~ 1 03748 hours

2.25%

Engagement rate

~ 3

Posts per day

Ads index

beta

Posts Archive

40 255

📌 How to Interpret Matrix Expressions – Transformations 🗂 Category: 🕒 Date: 2024-12-04 | ⏱️ Read time: 24 min read Matrix algebra for a data scientist

40 255

📌 Combining Large and Small LLMs to Boost Inference Time and Quality 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-05 | ⏱️ Read time: 8 min read Implementing Speculative and Contrastive Decoding

40 255

📌 How to Build a General-Purpose LLM Agent 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-12-05 | ⏱️ Read time: 13 min read A Step-by-Step Guide

40 255

📌 Break Free from the Individual Contributor Mindset. You Are a Manager Now. 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-05 | ⏱️ Read time: 16 min read 5 mistakes I see new managers make in their transition into leadership roles

40 255

📌 Don’t Flood Your Algorithms With Easy Examples – It Costs Money 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-05 | ⏱️ Read time: 8 min read A common mistake that slows down training and burns cash

40 255

📌 How to Transition Into Data Science-and Within Data Science 🗂 Category: CAREER ADVICE 🕒 Date: 2024-12-05 | ⏱️ Read time: 4 min read Our weekly selection of must-read Editors’ Picks and original features

40 255

📌 DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language… 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-05 | ⏱️ Read time: 10 min read Traditional RAG vs. dynamic RAG

40 255

📌 Building a Fantasy Football Research Agent with LangGraph 🗂 Category: 🕒 Date: 2024-12-05 | ⏱️ Read time: 10 min read An end-to-end guide covering integration with the Sleeper API, creation of a Streamlit UI, and…

40 255

📌 Who Does What in Data? A Practical Introduction to the Role of a Data Engineer & Data Scientist 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-12-05 | ⏱️ Read time: 17 min read What does a data engineer do differently to a data scientist?

40 255

📌 Chat with Your Images using Multimodal LLMs 🗂 Category: 🕒 Date: 2024-12-05 | ⏱️ Read time: 8 min read Learn how to build Llama 3.2-Vision locally in a chat-like mode, and explore its Multimodal…

40 255

📌 Multimodal RAG: Process Any File Type with AI 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-12-05 | ⏱️ Read time: 13 min read A beginner-friendly guide with example (Python) code

40 255

📌 Bridging the Data Literacy Gap 🗂 Category: WRITING 🕒 Date: 2024-12-06 | ⏱️ Read time: 16 min read The Advent, Evolution, and Current state of “Data Translators”

40 255

📌 Lasso and Elastic Net Regressions, Explained: A Visual Guide with Code Examples 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-12-06 | ⏱️ Read time: 19 min read Roping in key features using coordinate descent

40 255

📌 5 Python One-Liners to Kick Off Your Data Exploration 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-06 | ⏱️ Read time: 5 min read How to kickstart your EDA using simple one liners

40 255

📌 Reinforcement Learning: Self-Driving Cars to Self-Driving Labs 🗂 Category: DEEP LEARNING 🕒 Date: 2024-12-06 | ⏱️ Read time: 11 min read Understanding AI applications in bio for machine learning engineers

40 255

📌 How to Integrate AI and Data Science into Your Business Strategy 🗂 Category: STRATEGY 🕒 Date: 2024-12-06 | ⏱️ Read time: 14 min read Insider consulting guide to conducting a successful 2-day executive workshop

40 255

📌 I’m Doing the Advent of Code 2024 in Python - Day 1 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-07 | ⏱️ Read time: 5 min read Let’s see how many stars we’ll collect.

40 255

📌 How to Prepare for Your Data Science Behavioural Interview 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-07 | ⏱️ Read time: 6 min read My top tips to smash your next data science behavioural interview

40 255

📌 My #30DayMapChallenge 2024 🗂 Category: 🕒 Date: 2024-12-07 | ⏱️ Read time: 15 min read 30 Days, 30 Maps: My November Adventure in Digital Cartography

40 255

📌 Scientists Go Serious About Large Language Models Mirroring Human Thinking 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-08 | ⏱️ Read time: 15 min read A discussion of the latest research suggesting that LLMs do work like the human brain-with…