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Machine Learning

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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📈 Telegram kanali Machine Learning analitikasi

Machine Learning (@machinelearning9) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 40 255 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, 40 255 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.

📝 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 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.

40 255
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Postlar arxiv
📌 How I Built and Deployed an App in 2 days with Lovable, Supabase, and Netlify 🗂 Category: PROGRAMMING 🕒 Date: 2025-09-18
📌 How I Built and Deployed an App in 2 days with Lovable, Supabase, and Netlify 🗂 Category: PROGRAMMING 🕒 Date: 2025-09-18 | ⏱️ Read time: 8 min read All ideas can be turned into action in a matter of time now.

📌 Overcoming Security Challenges in Protecting Shared Generative AI Environments 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Dat
📌 Overcoming Security Challenges in Protecting Shared Generative AI Environments 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-02 | ⏱️ Read time: 15 min read Ensuring Safe AI on Multi-Tenancy

📌 Machine Learning Experiments Done Right 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-02 | ⏱️ Read time: 8 min read A detaile
📌 Machine Learning Experiments Done Right 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-02 | ⏱️ Read time: 8 min read A detailed guideline for designing machine learning experiments that produce reliable, reproducible results.

📌 How to Build Prompt Engineering Expertise at Your Company 🗂 Category: LEADERSHIP AND MANAGEMENT 🕒 Date: 2024-12-02 | ⏱️
📌 How to Build Prompt Engineering Expertise at Your Company 🗂 Category: LEADERSHIP AND MANAGEMENT 🕒 Date: 2024-12-02 | ⏱️ Read time: 9 min read You decided to employ generative AI at your company and have already conducted initial experiments…

📌 Context-Aided Forecasting: Enhancing Forecasting with Textual Data 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-0
📌 Context-Aided Forecasting: Enhancing Forecasting with Textual Data 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-02 | ⏱️ Read time: 9 min read A promising alternative approach to improve forecasting

📌 Paper Walkthrough: Neural Style Transfer 🗂 Category: DEEP LEARNING 🕒 Date: 2024-12-03 | ⏱️ Read time: 28 min read Turn y
📌 Paper Walkthrough: Neural Style Transfer 🗂 Category: DEEP LEARNING 🕒 Date: 2024-12-03 | ⏱️ Read time: 28 min read Turn your photos into paintings with deep learning – Implementing NST from scratch using PyTorch

📌 The Ten Commandments for (Power BI) Reporting 🗂 Category: 🕒 Date: 2024-12-03 | ⏱️ Read time: 12 min read I have been ask
📌 The Ten Commandments for (Power BI) Reporting 🗂 Category: 🕒 Date: 2024-12-03 | ⏱️ Read time: 12 min read I have been asked about some basic rules when creating a reporting solution. Here I…

📌 The Name That Broke ChatGPT: Who is David Mayer? 🗂 Category: 🕒 Date: 2024-12-03 | ⏱️ Read time: 20 min read When a buddy
📌 The Name That Broke ChatGPT: Who is David Mayer? 🗂 Category: 🕒 Date: 2024-12-03 | ⏱️ Read time: 20 min read When a buddy suggested I try putting the name “David Mayer” into ChatGPT, I didn’t think much…

📌 Should you switch from VSCode to Cursor? 🗂 Category: 🕒 Date: 2024-12-03 | ⏱️ Read time: 8 min read My experience using V
📌 Should you switch from VSCode to Cursor? 🗂 Category: 🕒 Date: 2024-12-03 | ⏱️ Read time: 8 min read My experience using VSCode (GitHub Copilot) and Cursor (Claude 3.5 Sonnet) as a Data Scientist.

📌 The Cultural Impact of AI Generated Content: Part 1 🗂 Category: GENERATIVE AI 🕒 Date: 2024-12-03 | ⏱️ Read time: 9 min r
📌 The Cultural Impact of AI Generated Content: Part 1 🗂 Category: GENERATIVE AI 🕒 Date: 2024-12-03 | ⏱️ Read time: 9 min read What happens when AI generated media becomes ubiquitous in our lives? How does this relate…

📌 From Retrieval to Intelligence: Exploring RAG, Agent+RAG, and Evaluation with TruLens 🗂 Category: 🕒 Date: 2024-12-03 | ⏱
📌 From Retrieval to Intelligence: Exploring RAG, Agent+RAG, and Evaluation with TruLens 🗂 Category: 🕒 Date: 2024-12-03 | ⏱️ Read time: 26 min read Unlocking the Power of GPT-Generated Private Corpora

📌 Becoming a Data Scientist: What I Would Do If I Had to Start Over 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-03 | ⏱️ Read
📌 Becoming a Data Scientist: What I Would Do If I Had to Start Over 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-03 | ⏱️ Read time: 12 min read Breaking into data science: The Good, the Bad, and the Python Bugs

📌 Query Optimization for Mere Humans in PostgreSQL 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-12-03 | ⏱️ Read time: 9 min r
📌 Query Optimization for Mere Humans in PostgreSQL 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-12-03 | ⏱️ Read time: 9 min read Understanding a PostgreSQL execution plan with practical examples

📌 LLMs for Coding in 2024: Price, Performance, and the Battle for the Best 🗂 Category: CODING 🕒 Date: 2024-12-04 | ⏱️ Read
📌 LLMs for Coding in 2024: Price, Performance, and the Battle for the Best 🗂 Category: CODING 🕒 Date: 2024-12-04 | ⏱️ Read time: 13 min read Evaluating the current LLM landscape based both benchmarks and real-world insights to help you make…

📌 Training Language Models on Google Colab 🗂 Category: DEEP LEARNING 🕒 Date: 2024-12-04 | ⏱️ Read time: 5 min read A guide
📌 Training Language Models on Google Colab 🗂 Category: DEEP LEARNING 🕒 Date: 2024-12-04 | ⏱️ Read time: 5 min read A guide to iterative fine-tuning and serialisation

📌 Information at a Glance: Do Your Charts Suck? 🗂 Category: DATA VISUALIZATION 🕒 Date: 2024-12-04 | ⏱️ Read time: 9 min re
📌 Information at a Glance: Do Your Charts Suck? 🗂 Category: DATA VISUALIZATION 🕒 Date: 2024-12-04 | ⏱️ Read time: 9 min read How pre-attentive processing, Gestalt theory, and visual data encoding inform data design decisions

📌 Machine Learning Basics I Look for in Data Scientist Interviews 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-04 |
📌 Machine Learning Basics I Look for in Data Scientist Interviews 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-04 | ⏱️ Read time: 50 min read Let’s build our breadth of science together.

📌 An Introduction to CTEs in SQL 🗂 Category: PROGRAMMING 🕒 Date: 2024-12-04 | ⏱️ Read time: 6 min read Explore how Common
📌 An Introduction to CTEs in SQL 🗂 Category: PROGRAMMING 🕒 Date: 2024-12-04 | ⏱️ Read time: 6 min read Explore how Common Table Expression (CTE) can help optimize SQL performance and readability

📌 Step-by-Step Guide for Building Bump Charts in Plotly 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-04 | ⏱️ Read time: 13 min
📌 Step-by-Step Guide for Building Bump Charts in Plotly 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-04 | ⏱️ Read time: 13 min read Learn how to create custom bump charts in Python using Plotly for data visualization