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

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Tarmoq:Machine Learning with Python Suriya231 Texnologiyalar & Aralashmalar3 380...

📈 Telegram kanali Machine Learning analitikasi

Machine Learning (@machinelearning9) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 40 134 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 380-o'rinni va Suriya mintaqasida 231-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 40 134 obunachiga ega bo‘ldi.

25 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 395 ga, so‘nggi 24 soatda esa 12 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

Tasdiqlash holati: Tasdiqlanmagan
Jalb etish (ER): Auditoriya o‘rtacha 1.89% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.31% ini tashkil etuvchi reaksiyalarni to‘playdi.
Post qamrovi: Har bir post o‘rtacha 758 marta ko‘riladi; birinchi sutkada odatda 525 ta ko‘rish yig‘iladi.
Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 2 ta reaksiya keladi.
Tematik yo‘nalishlar: Kontent distance, insidead, gpu, learning, degree kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“Real Machine Learning — simple, practical, and built on experience. Learn step by step with clear explanations and working code. Admin: @HusseinSheikho || @Hussein_Sheikho”

Yuqori yangilanish chastotasi (oxirgi ma’lumot 26 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

40 134

Obunachilar

+1224 soatlar

+697 kunlar

+39530 kunlar

758

Post ko'rishlar

~ 52524 soatlar

~ 70348 soatlar

1.89%

Muloqot nisbati

~ 3

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Postlar arxiv

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

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📌 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

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📌 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

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📌 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

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Repost from Machine Learning with Python

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📌 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

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📌 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

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📌 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

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📌 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

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📌 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

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🏆 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 ✨

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📌 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

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📌 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

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📌 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

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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

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📌 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