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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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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.

40 205
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Postlar arxiv
📌 Bayesian Linear Regression: A Complete Beginner’s guide 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-14 | ⏱️ Read time: 11 m
📌 Bayesian Linear Regression: A Complete Beginner’s guide 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-14 | ⏱️ Read time: 11 min read A workflow and code walkthrough for building a Bayesian regression model in STAN

📌 Build a Tokenizer for the Thai Language from Scratch 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-14 | ⏱️ Read ti
📌 Build a Tokenizer for the Thai Language from Scratch 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-14 | ⏱️ Read time: 16 min read A step-by-step guide to building a Thai multilingual sub-word tokenizer based on a BPE algorithm…

“I never thought I’d get access to the entire CEH v13 course… for FREE. Everyone told me, ‘That’s impossible!’ But now I’m al
“I never thought I’d get access to the entire CEH v13 course… for FREE. Everyone told me, ‘That’s impossible!’ But now I’m already learning secrets even pros don’t share. Curious what’s really inside? Check it out here before it disappears. #ad InsideAds

📌 A Powerful Feature for Boosting Python Code Efficiency and Streamlining Complex Workflows 🗂 Category: DATA SCIENCE 🕒 Dat
📌 A Powerful Feature for Boosting Python Code Efficiency and Streamlining Complex Workflows 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-15 | ⏱️ Read time: 10 min read All you need to know about Python loops

📌 Applications of Rolling Windows for Time Series, with Python 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-15 | ⏱️ Read time:
📌 Applications of Rolling Windows for Time Series, with Python 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-15 | ⏱️ Read time: 12 min read Here’s some powerful applications of Rolling Windows and Time Series

📌 Introducing NumPy, Part 3: Manipulating Arrays 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-15 | ⏱️ Read time: 7 min read Sh
📌 Introducing NumPy, Part 3: Manipulating Arrays 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-15 | ⏱️ Read time: 7 min read Shaping, transposing, joining, and splitting arrays

📌 OpenAI o1: Is This the Enigmatic Force That Will Reshape Every Knowledge Sector We Know? 🗂 Category: CHATGPT 🕒 Date: 202
📌 OpenAI o1: Is This the Enigmatic Force That Will Reshape Every Knowledge Sector We Know? 🗂 Category: CHATGPT 🕒 Date: 2024-09-16 | ⏱️ Read time: 7 min read My first encounters with the o1 model

📌 ASCVIT V1: Automatic Statistical Calculation, Visualization and Interpretation Tool 🗂 Category: DATA SCIENCE 🕒 Date: 202
📌 ASCVIT V1: Automatic Statistical Calculation, Visualization and Interpretation Tool 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-16 | ⏱️ Read time: 38 min read Automated data analysis made easy: The first version of ASCVIT the tool for statistical calculation,…

📌 What Makes a Great Data Business 🗂 Category: BUSINESS 🕒 Date: 2024-09-16 | ⏱️ Read time: 8 min read Including an easy-to
📌 What Makes a Great Data Business 🗂 Category: BUSINESS 🕒 Date: 2024-09-16 | ⏱️ Read time: 8 min read Including an easy-to-use data business evaluation cheat sheet

📌 Temporal-Difference Learning and the Importance of Exploration: An Illustrated Guide 🗂 Category: ARTIFICIAL INTELLIGENCE
📌 Temporal-Difference Learning and the Importance of Exploration: An Illustrated Guide 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-10-01 | ⏱️ Read time: 18 min read Comparing model-free and model-based RL methods on a dynamic grid world

📌 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

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📌 Building RAGs Without A Retrieval Model Is a Terrible Mistake 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-17 | ⏱️ Read time
📌 Building RAGs Without A Retrieval Model Is a Terrible Mistake 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-17 | ⏱️ Read time: 10 min read Here are my favorite techniques – one is faster, the other is more accurate.

📌 The Mystery Behind the PyTorch Automatic Mixed Precision Library 🗂 Category: DEEP LEARNING 🕒 Date: 2024-09-17 | ⏱️ Read
📌 The Mystery Behind the PyTorch Automatic Mixed Precision Library 🗂 Category: DEEP LEARNING 🕒 Date: 2024-09-17 | ⏱️ Read time: 9 min read How to get 2X speed up model training using three lines of code

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📌 Introduction to Maximum Likelihood Estimates 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-18 | ⏱️ Read time: 9 min read Lear
📌 Introduction to Maximum Likelihood Estimates 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-18 | ⏱️ Read time: 9 min read Learn about Maximum Likelihood Estimates via their application for next-word prediction

📌 Unlocking Business Potential Through Effective Customer Segmentation 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-18 | ⏱️ Re
📌 Unlocking Business Potential Through Effective Customer Segmentation 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-18 | ⏱️ Read time: 9 min read Transform your data into actionable insights with customer segmentation for improved engagement and profitability

📌 Asking for Feedback as a Data Scientist Individual Contributor 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-18 | ⏱️ Read tim
📌 Asking for Feedback as a Data Scientist Individual Contributor 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-18 | ⏱️ Read time: 17 min read Receive clear and useful feedback. Ditch generic questions. More than 60 example questions for you…

📌 Under the Hood: How DAX Works with Filters 🗂 Category: POWER BI 🕒 Date: 2025-10-01 | ⏱️ Read time: 6 min read Have you e
📌 Under the Hood: How DAX Works with Filters 🗂 Category: POWER BI 🕒 Date: 2025-10-01 | ⏱️ Read time: 6 min read Have you ever wondered how DAX works with filters in Measures? Today, I take a…

📌 Visual Pollen Classification Using CNNs and Vision Transformers 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-10-01 | ⏱️ Rea
📌 Visual Pollen Classification Using CNNs and Vision Transformers 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-10-01 | ⏱️ Read time: 19 min read Filling the data gap: A machine learning approach to pollen identification in ecology and biotechnology