Endi mavjud! Telegram Tadqiqoti 2025 — yilning asosiy insaytlari 
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
Ko'proq ko'rsatish📈 Telegram kanali Machine Learning analitikasi
Machine Learning (@machinelearning9) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 40 140 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 371-o'rinni va Suriya mintaqasida 230-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 40 140 obunachiga ega bo‘ldi.
26 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 429 ga, so‘nggi 24 soatda esa 20 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 1.83% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.60% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 735 marta ko‘riladi; birinchi sutkada odatda 643 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 27 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.
40 140
Obunachilar
+2024 soatlar
+1017 kunlar
+42930 kunlar
Postlar arxiv
40 140
📌 How to Automate Workflows with AI
🗂 Category: AGENTIC AI
🕒 Date: 2025-11-15 | ⏱️ Read time: 7 min read
Unlock the power of AI to streamline your operations. This guide details how to transform tedious manual processes into intelligent, automated workflows. Learn to identify key opportunities, select the right tools, and implement effective solutions to boost efficiency, reduce errors, and drive business innovation.
#AI #WorkflowAutomation #ProcessOptimization
40 140
🏆 Crack ML System Design Interviews
📢 Crack ML System Design interviews for top tech roles! Learn to build and deploy large-scale intelligent systems, mastering high-stakes technical assessments at leading companies.
⚡ Tap to unlock the complete answer and gain instant insight.
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By: @DataScienceM ✨
40 140
📌 How to Crack Machine Learning System-Design Interviews
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-11-14 | ⏱️ Read time: 15 min read
Ace your machine learning system design interviews at top tech companies. This comprehensive guide provides a deep dive into the interview process at Meta, Apple, Reddit, Amazon, Google, and Snap, equipping you with the strategies needed to succeed in these high-stakes technical assessments.
#MachineLearning #SystemDesign #TechInterview #AI
40 140
📌 “The success of an AI product depends on how intuitively users can interact with its capabilities”
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-11-14 | ⏱️ Read time: 8 min read
Expert Janna Lipenkova emphasizes that the success of AI products hinges on intuitive user interaction, not just technological power. A winning AI strategy focuses on user-centric design, where deep domain knowledge is crucial for translating complex AI capabilities into accessible and valuable tools. This approach ensures that the product is not only intelligent but also seamlessly usable, defining the future of human-AI collaboration.
#AIUX #ProductManagement #AIStrategy #MachineLearning
40 140
📌 Critical Mistakes Companies Make When Integrating AI/ML into Their Processes
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-11-14 | ⏱️ Read time: 11 min read
Integrating AI/ML into business operations is a complex process where many companies falter. Based on insights from leading AI teams across various industries, this guide highlights the critical, yet common, mistakes organizations make during AI adoption. Learn to navigate pitfalls related to strategy, data quality, and implementation to ensure your machine learning initiatives succeed and deliver tangible business value, avoiding costly errors and maximizing your return on investment.
#AIIntegration #MachineLearning #AIStrategy #TechLeadership
40 140
📌 Music, Lyrics, and Agentic AI: Building a Smart Song Explainer using Python and OpenAI
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-11-14 | ⏱️ Read time: 10 min read
This is how to build an AI-powered Song Explainer using Python and OpenAI
#DataScience #AI #Python
40 140
📌 Spearman Correlation Coefficient for When Pearson Isn’t Enough
🗂 Category: DATA SCIENCE
🕒 Date: 2025-11-13 | ⏱️ Read time: 7 min read
Not all relationships are linear, and that is where Spearman comes in.
#DataScience #AI #Python
40 140
📌 Organizing Code, Experiments, and Research for Kaggle Competitions
🗂 Category: PROJECT MANAGEMENT
🕒 Date: 2025-11-13 | ⏱️ Read time: 21 min read
Winning a Kaggle medal requires a disciplined approach, not just a great model. This guide shares essential lessons and tips from a medalist on effectively organizing your code, tracking experiments, and structuring your research. Learn how to streamline your competitive data science workflow, avoid common pitfalls, and improve your chances of success.
#Kaggle #DataScience #MachineLearning #MLOps
40 140
📌 Robotics with Python: Q-Learning vs Actor-Critic vs Evolutionary Algorithms
🗂 Category: Uncategorized
🕒 Date: 2025-11-13 | ⏱️ Read time: 15 min read
Explore the intersection of Python and robotics in this deep dive into reinforcement learning algorithms. The article compares the trade-offs, strengths, and weaknesses of Q-Learning, Actor-Critic, and Evolutionary Algorithms for robotic control tasks. Learn how to apply these concepts by building a custom 3D environment to train and test your own RL-powered robot, providing a practical understanding of which technique to choose for your specific application.
#Python #Robotics #ReinforcementLearning #MachineLearning #AI
40 140
Eurasia 2025 Window Fair
15-18 November 2025 Istanbul Turkey Tüyap Fair Center Hall: 3 Stand: 308 A
At this importent event you will have the opportunity to feel the pulse of the industry
Sponsored By WaybienAds
40 140
📌 LLMs Are Randomized Algorithms
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-11-13 | ⏱️ Read time: 18 min read
A surprising link has been drawn between modern Large Language Models and the 50-year-old field of randomized algorithms. This perspective reframes LLMs not just as complex neural networks, but as a practical application of established algorithmic theory. Viewing today's most advanced AI through this lens offers a novel framework for analyzing their probabilistic nature, behavior, and underlying operational principles, bridging the gap between cutting-edge AI and foundational computer science.
#LLMs #AI #RandomizedAlgorithms #ComputerScience #MachineLearning
40 140
Eurasia 2025 Window Fair
15-18 November 2025 Istanbul Turkey Tüyap Fair Center Hall: 3 Stand: 308 A
At this importent event you will have the opportunity to feel the pulse of the industry
Sponsored By WaybienAds
40 140
Eurasia 2025 Window Fair
15-18 November 2025 Istanbul Turkey Tüyap Fair Center Hall: 3 Stand: 308 A
At this importent event you will have the opportunity to feel the pulse of the industry
Sponsored By WaybienAds
40 140
📚 Professional Academic Writing & Simulation Services
Looking for high-quality academic assistance? We specialize in research papers, theses, and simulations tailored to your needs. All work is original, plagiarism-free, and aligned with top journal standards. Prices are competitive and flexible—contact us for custom quotes!
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40 140
Eurasia 2025 Window Fair
15-18 November 2025 Istanbul Turkey Tüyap Fair Center Hall: 3 Stand: 308 A
At this importent event you will have the opportunity to feel the pulse of the industry
Sponsored By WaybienAds
40 140
📌 Feature Detection, Part 2: Laplace & Gaussian Operators
🗂 Category: COMPUTER VISION
🕒 Date: 2025-11-12 | ⏱️ Read time: 12 min read
Laplace meets Gaussian — the story of two operators in edge detection
#DataScience #AI #Python
40 140
📌 How to Evaluate Retrieval Quality in RAG Pipelines (Part 3): DCG@k and NDCG@k
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-11-12 | ⏱️ Read time: 8 min read
This final part of the series on RAG pipeline evaluation explores advanced metrics for assessing retrieval quality. Learn how to use Discounted Cumulative Gain (DCG@k) and Normalized Discounted Cumulative Gain (NDCG@k) to measure the relevance and ranking of retrieved documents, moving beyond simpler metrics for a more nuanced understanding of your system's performance.
#RAG #EvaluationMetrics #LLM #InformationRetrieval #MLOps
40 140
📌 The Ultimate Guide to Power BI Aggregations
🗂 Category: DATA SCIENCE
🕒 Date: 2025-11-12 | ⏱️ Read time: 10 min read
Unlock significant performance gains in your Power BI reports by mastering aggregations. This guide explains how to leverage this powerful feature to optimize query performance and enhance user experience when working with massive datasets, enabling faster, more responsive analytics.
#PowerBI #DataModeling #BusinessIntelligence #BigData
40 140
📌 Deploy Your AI Assistant to Monitor and Debug n8n Workflows Using Claude and MCP
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-11-12 | ⏱️ Read time: 19 min read
Learn how to deploy an AI assistant powered by Claude and MCP to effectively monitor, analyze, and debug your n8n workflows. This innovative approach allows you to troubleshoot complex automations using natural language conversations, significantly streamlining your development and maintenance process.
#n8n #ClaudeAI #WorkflowAutomation #AIAssistant #Debugging
