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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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Machine Learning (@machinelearning9) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 40 205 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 352-o'rinni va Suriya mintaqasida 228-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 40 205 obunachiga ega bo‘ldi.

02 Iyul, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 343 ga, so‘nggi 24 soatda esa 10 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 1.99% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.28% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 800 marta ko‘riladi; birinchi sutkada odatda 915 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.

📝 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 03 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.

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Postlar arxiv
📌 Data Visualization Explained (Part 2): An Introduction to Visual Variables 🗂 Category: DATA VISUALIZATION 🕒 Date: 2025-1
📌 Data Visualization Explained (Part 2): An Introduction to Visual Variables 🗂 Category: DATA VISUALIZATION 🕒 Date: 2025-10-01 | ⏱️ Read time: 7 min read A non-technical and accessible guide to the underlying concept behind visual design: visual encoding channels

📌 How to Improve the Efficiency of Your PyTorch Training Loop 🗂 Category: DEEP LEARNING 🕒 Date: 2025-10-01 | ⏱️ Read time:
📌 How to Improve the Efficiency of Your PyTorch Training Loop 🗂 Category: DEEP LEARNING 🕒 Date: 2025-10-01 | ⏱️ Read time: 14 min read Learn how to diagnose and resolve bottlenecks in PyTorch using the numworkers, pinmemory, and profiler…

📌 Are Foundation Models Ready for Your Production Tabular Data? 🗂 Category: LARGE DATA MODELS 🕒 Date: 2025-10-01 | ⏱️ Read
📌 Are Foundation Models Ready for Your Production Tabular Data? 🗂 Category: LARGE DATA MODELS 🕒 Date: 2025-10-01 | ⏱️ Read time: 15 min read A complete review of architectures to make zero-shot predictions in the most common types of…

🌍 Work Abroad for Skilled Construction Workers! Salary: $450–700 per month ✅ Free accommodation ✅ Free meals ✅ Official 1-ye
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“I turned $1,000 into $4,500 in just 2 weeks — but nobody believed me until they saw my account.” Want to know the exact sign
“I turned $1,000 into $4,500 in just 2 weeks — but nobody believed me until they saw my account.” Want to know the exact signals I used? The secret’s hidden right here — but hurry, only a few will see this in time. #ad InsideAds

📌 The Data Strategy Choice Cascade 🗂 Category: 🕒 Date: 2024-09-16 | ⏱️ Read time: 23 min read What your data strategy shou
📌 The Data Strategy Choice Cascade 🗂 Category: 🕒 Date: 2024-09-16 | ⏱️ Read time: 23 min read What your data strategy should look like

📌 How to Implement State-of-the-Art Masked AutoEncoders (MAE) 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-16 | ⏱️ Read time:
📌 How to Implement State-of-the-Art Masked AutoEncoders (MAE) 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-16 | ⏱️ Read time: 8 min read A Step-by-Step Guide to Building MAE with Vision Transformers

📌 Unit Disk Uniform Sampling 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-16 | ⏱️ Read time: 15 min read Discover the optimal
📌 Unit Disk Uniform Sampling 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-16 | ⏱️ Read time: 15 min read Discover the optimal transformations to apply on the standard 0,1 uniform random generator for uniformly…

📌 Vision Mamba: Like a Vision Transformer but Better 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-16 | ⏱️ Read time: 26 min re
📌 Vision Mamba: Like a Vision Transformer but Better 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-16 | ⏱️ Read time: 26 min read Part 4 – Towards Mamba State Space Models for Images, Videos and Time Series

📌 Teaching Your Model to Learn from Itself 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-16 | ⏱️ Read time: 6 min read In machi
📌 Teaching Your Model to Learn from Itself 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-16 | ⏱️ Read time: 6 min read In machine learning, more data leads to better results. But labeling data can be expensive…

📌 Disability, Accessibility, and AI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-16 | ⏱️ Read time: 11 min read A d
📌 Disability, Accessibility, and AI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-16 | ⏱️ Read time: 11 min read A discussion of how AI can help and harm people with disabilities

📌 Introducing NumPy, Part 4: Doing Math with Arrays 🗂 Category: 🕒 Date: 2024-09-16 | ⏱️ Read time: 12 min read Plus readin
📌 Introducing NumPy, Part 4: Doing Math with Arrays 🗂 Category: 🕒 Date: 2024-09-16 | ⏱️ Read time: 12 min read Plus reading and writing array data!

📌 PySpark Explained: The InferSchema Problem 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-16 | ⏱️ Read time: 10 min read Think
📌 PySpark Explained: The InferSchema Problem 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-16 | ⏱️ Read time: 10 min read Think before using this common option when reading large CSV’s

“Nobody believed you could grow small capital—until I saw this.” $1,000 turned into real profit before my eyes. The secret? B
“Nobody believed you could grow small capital—until I saw this.” $1,000 turned into real profit before my eyes. The secret? Bonus fuel & copytrading with Elite Gold. Want proof? See how it’s actually done before the bonus ends. #ad InsideAds

📌 Football and Geometry – Passing Networks 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-16 | ⏱️ Read time: 12 min read Analyzi
📌 Football and Geometry – Passing Networks 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-16 | ⏱️ Read time: 12 min read Analyzing Bayer Leverkusen’s Passing Networks from Last Season

📌 Model Management with MLflow, Azure, and Docker 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-09-17 | ⏱️ Read time: 11 min r
📌 Model Management with MLflow, Azure, and Docker 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-09-17 | ⏱️ Read time: 11 min read A guide to tracking experiments and managing models

📌 The Math Behind Kernel Density Estimation 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-17 | ⏱️ Read time: 13 min read Explor
📌 The Math Behind Kernel Density Estimation 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-17 | ⏱️ Read time: 13 min read Exploring the foundations, concepts, and math of kernel density estimation

📌 Polars + NVIDIA GPU Tutorial 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-17 | ⏱️ Read time: 4 min read Using Polars with NV
📌 Polars + NVIDIA GPU Tutorial 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-17 | ⏱️ Read time: 4 min read Using Polars with NVIDIA GPU can speed up your data pipelines

📌 GPU Accelerated Polars – Intuitively and Exhaustively Explained 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-17 |
📌 GPU Accelerated Polars – Intuitively and Exhaustively Explained 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-17 | ⏱️ Read time: 16 min read Fast Dataframes for Big Problems

Today I am 3️⃣0️⃣ years old, I am excited to make more successes and achievements My previous year was full of exciting events and economic, political and programmatic noise, but I kept moving forward Best regards Eng. @HusseinSheikho 🔤