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 Syria230 Technologies & Applications3 371...

📈 Analytical overview of Telegram channel Machine Learning

Channel Machine Learning (@machinelearning9) in the English language segment is an active participant. Currently, the community unites 40 140 subscribers, ranking 3 371 in the Technologies & Applications category and 230 in the Syria region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 40 140 subscribers.

According to the latest data from 26 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 429 over the last 30 days and by 20 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 1.83%. Within the first 24 hours after publication, content typically collects 1.60% reactions from the total number of subscribers.
Post reach: On average, each post receives 735 views. Within the first day, a publication typically gains 643 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 2.
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 27 June, 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.

40 140

Subscribers

+2024 hours

+1017 days

+42930 days

735

Post views

~ 64324 hours

~ 87748 hours

1.83%

Engagement rate

~ 3

Posts per day

Ads index

beta

Posts Archive

40 140

📌 Generative AI Will Redesign Cars, But Not the Way Automakers Think 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-11-21 | ⏱️ Read time: 17 min read While automakers are adopting generative AI, they're missing its transformative potential. The current industry approach focuses on using this revolutionary technology for incremental optimization of existing vehicle components and systems, rather than for a fundamental re-imagination of car design from the ground up. This conservative strategy risks ceding true innovation to more agile and disruptive players who will leverage AI to completely rethink the automobile's form and function. #GenerativeAI #AutomotiveDesign #AutoTech #Innovation

40 140

📌 Natural Language Visualization and the Future of Data Analysis and Presentation 🗂 Category: DATA VISUALIZATION 🕒 Date: 2025-11-21 | ⏱️ Read time: 28 min read Explore the future of data analysis where conversational AI and Natural Language Visualization (NLV) could revolutionize how we interact with data. This evolution poses a critical question: will intuitive, language-based interfaces replace traditional tools like SQL queries, dashboards, and KPI reports? The shift promises to make complex data insights more accessible to a wider audience, moving beyond the need for specialized technical skills. #NLV #ConversationalAI #DataAnalysis #DataViz

40 140

📌 How To Build a Graph-Based Recommendation Engine Using EDG and Neo4j 🗂 Category: DATA SCIENCE 🕒 Date: 2025-11-21 | ⏱️ Read time: 16 min read Discover how to build a sophisticated graph-based recommendation engine by integrating EDG with Neo4j. This guide explains how to use a shared taxonomy to bridge RDF and property graphs. By leveraging this connection, you can power more intelligent, context-aware recommendations through advanced inferencing capabilities, overcoming common data integration challenges. #RecommendationEngine #GraphDatabase #Neo4j #KnowledgeGraph

40 140

📌 Modern DataFrames in Python: A Hands-On Tutorial with Polars and DuckDB 🗂 Category: DATA SCIENCE 🕒 Date: 2025-11-21 | ⏱️ Read time: 7 min read Struggling with slow data workflows as your datasets grow? This hands-on tutorial demonstrates how to leverage the power of modern DataFrame tools, Polars and DuckDB, to significantly boost performance in Python. Learn practical techniques to handle larger data volumes efficiently and keep your entire workflow from slowing down. #Python #Polars #DuckDB #DataEngineering

40 140

Repost from Machine Learning with Python

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40 140

📌 Why I’m Making the Switch to marimo Notebooks 🗂 Category: DATA SCIENCE 🕒 Date: 2025-11-20 | ⏱️ Read time: 11 min read A new contender is emerging in the computational notebook space. Titled marimo, this tool offers a "fresh way to think" about interactive programming and data science workflows, challenging the established paradigms of tools like Jupyter. The author discusses their personal decision to make the switch, highlighting the innovative approach and potential benefits that marimo brings to developers and data scientists looking for a more modern and reactive notebook experience. #marimo #ComputationalNotebooks #DataScience #Python #DeveloperTools

40 140

Imagine mining rigs that think, learn, and even heal the planet while they work. Curious how the future of crypto is actually being built today? Unlock the secrets of next-gen profit models and tech breakthroughs—see what others miss in real time here. Join Mining Pulse now and discover the edge before the crowd! InsideAds

40 140

📌 How to Use Gemini 3 Pro Efficiently 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-11-20 | ⏱️ Read time: 8 min read Unlock the full potential of Gemini 3 Pro. This guide explores efficient usage techniques, delving into the model's pros and cons based on rigorous testing in coding and other demanding applications. Learn best practices to optimize your workflows and harness the full power of this advanced AI for superior results. #Gemini3Pro #AI #GoogleAI #PromptEngineering #LLM

40 140

📌 How Relevance Models Foreshadowed Transformers for NLP 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-11-20 | ⏱️ Read time: 19 min read The revolutionary attention mechanism at the heart of modern transformers and LLMs has a surprising history. This article traces its lineage back to "relevance models" from the field of information retrieval. It explores how these earlier models, designed to weigh the importance of terms, laid the conceptual groundwork for the attention mechanism that powers today's most advanced NLP. This historical perspective highlights how today's breakthroughs are built upon foundational concepts, reminding us that innovation often stands on the shoulders of giants. #NLP #Transformers #LLM #AttentionMechanism #AIHistory

40 140

📌 Data Visualization Explained (Part 5): Visualizing Time-Series Data in Python (Matplotlib, Plotly, and Altair) 🗂 Category: DATA VISUALIZATION 🕒 Date: 2025-11-20 | ⏱️ Read time: 12 min read Master time-series data visualization in Python with this in-depth guide. The article offers a practical exploration of plotting temporal data, complete with detailed code examples. Learn how to effectively leverage popular libraries like Matplotlib, Plotly, and Altair to create insightful and compelling visualizations for your data science projects. #DataVisualization #Python #TimeSeries #DataScience

40 140

📌 Making Smarter Bets: Towards a Winning AI Strategy with Probabilistic Thinking 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-11-19 | ⏱️ Read time: 11 min read Craft a winning AI strategy by embracing probabilistic thinking. This approach provides practical guidance on identifying high-value opportunities, managing your product portfolio, and overcoming behavioral biases. Learn to make smarter, data-driven bets to navigate uncertainty and gain a competitive advantage in the rapidly evolving AI landscape. #AIStrategy #ProductManagement #DecisionMaking #MachineLearning

40 140

🏆 Computer Vision Mastery: Step-by-Step Roadmap 📢 Unlock the world of Computer Vision! Our step-by-step roadmap guides you from image processing fundamentals to cutting-edge Vision Transformers with Python. ⚡ Tap to unlock the complete answer and gain instant insight. ━━━━━━━━━━━━━━━ By: @DataScienceM ✨

40 140

📌 PyTorch Tutorial for Beginners: Build a Multiple Regression Model from Scratch 🗂 Category: DEEP LEARNING 🕒 Date: 2025-11-19 | ⏱️ Read time: 14 min read Dive into PyTorch with this hands-on tutorial for beginners. Learn to build a multiple regression model from the ground up using a 3-layer neural network. This guide provides a practical, step-by-step approach to machine learning with PyTorch, ideal for those new to the framework. #PyTorch #MachineLearning #NeuralNetwork #Regression #Python

40 140

📌 Developing Human Sexuality in the Age of AI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-11-19 | ⏱️ Read time: 20 min read As generative AI reshapes the landscape of learning and information access, its influence extends into the most personal aspects of human life. This analysis examines the critical intersection of AI and human sexuality, exploring how these powerful tools could redefine personal development, our understanding of intimacy, and the future of human connection in a digital age. #GenerativeAI #SexTech #DigitalIntimacy #TechEthics

40 140

📌 How to Perform Agentic Information Retrieval 🗂 Category: AGENTIC AI 🕒 Date: 2025-11-19 | ⏱️ Read time: 9 min read Leverage the power of autonomous AI agents for advanced information retrieval. This guide explores Agentic Information Retrieval, a method for deploying intelligent agents to proactively search, analyze, and extract precise information from your document corpus. Go beyond traditional keyword search and streamline complex data discovery with this cutting-edge technique. #AIagents #InformationRetrieval #AgenticAI #RAG

40 140

Curious how mining is becoming carbon-negative and even repairs the planet? Stop reading outdated crypto news — get ahead of the curve with real tech insights, futuristic mining models, and ways to earn passively with zero trading hassle. Don’t miss the evolution — discover the next era of mining right here. Profit grows while you sleep. Level up now! Join Mining Pulse InsideAds

40 140

📌 Introducing Google’s File Search Tool 🗂 Category: AI APPLICATIONS 🕒 Date: 2025-11-18 | ⏱️ Read time: 12 min read Google has introduced its new File Search Tool, a direct challenge to traditional Retrieval-Augmented Generation (RAG) processing. This latest move by the search giant signals a significant development in AI-powered information retrieval, aiming to offer a more advanced alternative to conventional methods for searching and processing files. #Google #AI #RAG #FileSearch