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 Suriya227 Texnologiyalar & Aralashmalar3 343...

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Machine Learning (@machinelearning9) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 40 265 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 343-o'rinni va Suriya mintaqasida 227-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 40 265 obunachiga ega bo‘ldi.

06 Iyul, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 336 ga, so‘nggi 24 soatda esa -4 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

Tasdiqlash holati: Tasdiqlanmagan
Jalb etish (ER): Auditoriya o‘rtacha 2.25% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.88% ini tashkil etuvchi reaksiyalarni to‘playdi.
Post qamrovi: Har bir post o‘rtacha 906 marta ko‘riladi; birinchi sutkada odatda 758 ta ko‘rish yig‘iladi.
Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 3 ta reaksiya keladi.
Tematik yo‘nalishlar: Kontent distance, insidead, gpu, learning, degree kabi asosiy mavzularga jamlangan.

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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 07 Iyul, 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.

40 265

Obunachilar

-424 soatlar

+917 kunlar

+33630 kunlar

906

Post ko'rishlar

~ 75824 soatlar

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2.25%

Muloqot nisbati

~ 3

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Postlar arxiv

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📌 Why Retrieval-Augmented Generation Is Still Relevant in the Era of Long-Context Language Models 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-12 | ⏱️ Read time: 7 min read In this article we will explore why 128K tokens and more models can’t fully replace…

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📌 Bayes’ Theorem: Understanding Business Outcomes with Evidence 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-12 | ⏱️ Read time: 11 min read A practical introduction to Bayes’ Theorem: Probability for Data Science Series (2)

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📌 I’m Doing the Advent of Code 2024 in Python – Day 3 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-13 | ⏱️ Read time: 5 min read Let’s see how many stars we’ll collect.

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📌 Addressing the Butterfly Effect: Data Assimilation Using Ensemble Kalman Filter 🗂 Category: 🕒 Date: 2024-12-13 | ⏱️ Read time: 9 min read Learn how to implement the Ensemble Kalman Filter for data assimilation, with mathematical details step-by-step…

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📌 Efficient Large Dimensional Self-Organising Maps with PyTorch 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-13 | ⏱️ Read time: 6 min read Because it’s fun to self-organise

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📌 How I’d Learn AI in 2025 (If I Could Start Over) 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-12-13 | ⏱️ Read time: 7 min read A 5-step roadmap for today’s landscape

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📌 Agentic AI: Building Autonomous Systems from Scratch 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-13 | ⏱️ Read time: 16 min read A Step-by-Step Guide to Creating Multi-Agent Frameworks in the Age of Generative AI

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📌 Ranking Basics: Pointwise, Pairwise, Listwise 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-14 | ⏱️ Read time: 8 min read Because thy neighbour matters

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📌 Let’s Learn a Little About Computer Vision via Sudoku 🗂 Category: 🕒 Date: 2024-12-14 | ⏱️ Read time: 9 min read Solving Sudoku is a fun challenge for coding, and adding computer vision to populate the…

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📌 A Design Researcher’s Guide to Publishing 🗂 Category: DESIGN 🕒 Date: 2024-12-15 | ⏱️ Read time: 10 min read Turn ‘publish or perish’ into ‘learn, write, and share’

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📌 Credit Card Fraud Detection with Different Sampling Techniques 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-15 | ⏱️ Read time: 10 min read How to deal with imbalanced data

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📌 The Essential Guide to R and Python Libraries for Data Visualization 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-16 | ⏱️ Read time: 19 min read Let’s dive into the most important libraries in R and Python to visualise data and…

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📌 Structured LLM Output Using Ollama 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-17 | ⏱️ Read time: 11 min read Control your model responses effectively

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📌 USGS DEM Files: How to Load, Merge, and Crop with Python 🗂 Category: 🕒 Date: 2024-12-17 | ⏱️ Read time: 12 min read A quick guide to prepping digital elevation data

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📌 The Good, the Bad, and the Ugly: Memory for a Neural Network 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-17 | ⏱️ Read time: 13 min read Memory can play tricks, to learn best it is not always good to memorize

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📌 My Experiments with NotebookLM for Teaching 🗂 Category: LLM APPLICATIONS 🕒 Date: 2025-09-16 | ⏱️ Read time: 8 min read Exploring NotebookLM as a teaching companion

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📌 Using Python to Build a Calculator 🗂 Category: PROGRAMMING 🕒 Date: 2025-09-16 | ⏱️ Read time: 5 min read A beginner-friendly Python project to understand conditional statements, loops and recursive functions

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📌 Building a Unified Intent Recognition Engine 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-09-16 | ⏱️ Read time: 6 min read How modular design can simplify and scale intent classification in enterprise AI systems

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📌 A Case for Bagging and Boosting as Data Scientists’ Best Friends 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-17 | ⏱️ Read time: 16 min read Leveraging wisdom of the crowd in ML models.

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📌 Four Signs It’s Time to Leave Your Data Science Job 🗂 Category: CAREER ADVICE 🕒 Date: 2024-12-17 | ⏱️ Read time: 7 min read Four tell-tale signs that you should look for another job