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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 40 614 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 247-o'rinni va Suriya mintaqasida 217-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 40 614 obunachiga ega bo‘ldi.

26 Iyul, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 476 ga, so‘nggi 24 soatda esa 38 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

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  • Post qamrovi: Har bir post o‘rtacha 1 993 marta ko‘riladi; birinchi sutkada odatda 799 ta ko‘rish yig‘iladi.
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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 27 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
📌 Building AI Applications in Ruby 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-05-21 | ⏱️ Read time: 15 min read Why
📌 Building AI Applications in Ruby 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-05-21 | ⏱️ Read time: 15 min read Why Ruby may be the best language to write your next AI web application

📌 Use PyTorch to Easily Access Your GPU 🗂 Category: PROGRAMMING 🕒 Date: 2025-05-21 | ⏱️ Read time: 12 min read Or … how an
📌 Use PyTorch to Easily Access Your GPU 🗂 Category: PROGRAMMING 🕒 Date: 2025-05-21 | ⏱️ Read time: 12 min read Or … how an ML library can accelerate non-ML computations

📌 Top Machine Learning Jobs and How to Prepare For Them 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-05-21 | ⏱️ Read time: 8
📌 Top Machine Learning Jobs and How to Prepare For Them 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-05-21 | ⏱️ Read time: 8 min read Explaining the different machine learning roles

📌 About Calculating Date Ranges in DAX 🗂 Category: DATA ANALYSIS 🕒 Date: 2025-05-22 | ⏱️ Read time: 7 min read When perfor
📌 About Calculating Date Ranges in DAX 🗂 Category: DATA ANALYSIS 🕒 Date: 2025-05-22 | ⏱️ Read time: 7 min read When performing date calculations, creating date ranges can be helpful. But how can we do…

📌 What Statistics Can Tell Us About NBA Coaches 🗂 Category: 🕒 Date: 2025-05-22 | ⏱️ Read time: 10 min read Using Python to
📌 What Statistics Can Tell Us About NBA Coaches 🗂 Category: 🕒 Date: 2025-05-22 | ⏱️ Read time: 10 min read Using Python to determine where NBA coaches come from and what makes them successful

📌 Inheritance: A Software Engineering Concept Data Scientists Must Know To Succeed 🗂 Category: PROGRAMMING 🕒 Date: 2025-05
📌 Inheritance: A Software Engineering Concept Data Scientists Must Know To Succeed 🗂 Category: PROGRAMMING 🕒 Date: 2025-05-22 | ⏱️ Read time: 12 min read Coding concepts that distinguish an amateur from a professional data scientist

📌 Google’s AlphaEvolve: Getting Started with Evolutionary Coding Agents 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-0
📌 Google’s AlphaEvolve: Getting Started with Evolutionary Coding Agents 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-05-22 | ⏱️ Read time: 20 min read Introduction AlphaEvolve 1 is a promising new coding agent by Google’s DeepMind. Let’s look at…

📌 Multiple Linear Regression Analysis 🗂 Category: DATA SCIENCE 🕒 Date: 2025-05-22 | ⏱️ Read time: 12 min read Implementati
📌 Multiple Linear Regression Analysis 🗂 Category: DATA SCIENCE 🕒 Date: 2025-05-22 | ⏱️ Read time: 12 min read Implementation of multiple linear regression on real data: Assumption checks, model evaluation, and interpretation of…

📌 How to Evaluate LLMs and Algorithms — The Right Way 🗂 Category: THE VARIABLE 🕒 Date: 2025-05-23 | ⏱️ Read time: 3 min re
📌 How to Evaluate LLMs and Algorithms — The Right Way 🗂 Category: THE VARIABLE 🕒 Date: 2025-05-23 | ⏱️ Read time: 3 min read This week, we focus on the best strategies for evaluating and benchmarking the performance of…

📌 Do More with NumPy Array Type Hints: Annotate & Validate Shape & Dtype 🗂 Category: PROGRAMMING 🕒 Date: 2025-05-23 | ⏱️ R
📌 Do More with NumPy Array Type Hints: Annotate & Validate Shape & Dtype 🗂 Category: PROGRAMMING 🕒 Date: 2025-05-23 | ⏱️ Read time: 5 min read Improve static analysis and run-time validation with full generic specification

Want to find a book that’ll change your mindset? Every day, we share honest reviews and powerful book tips so you never waste
Want to find a book that’ll change your mindset? Every day, we share honest reviews and powerful book tips so you never waste time on the wrong read. Ready to uncover your next favorite read before anyone else? Join Books Reviewer now for your daily shortcut to inspiration. #إعلان InsideAds

📌 Estimating Product-Level Price Elasticities Using Hierarchical Bayesian 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-05-23
📌 Estimating Product-Level Price Elasticities Using Hierarchical Bayesian 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-05-23 | ⏱️ Read time: 21 min read Using one model to personalize ML results

📌 Prototyping Gradient Descent in Machine Learning 🗂 Category: 🕒 Date: 2025-05-23 | ⏱️ Read time: 10 min read Mathematical
📌 Prototyping Gradient Descent in Machine Learning 🗂 Category: 🕒 Date: 2025-05-23 | ⏱️ Read time: 10 min read Mathematical theorem and credit transaction prediction using Stochastic / Batch GD

📌 Demystifying Policy Optimization in RL: An Introduction to PPO and GRPO 🗂 Category: DEEP LEARNING 🕒 Date: 2025-05-26 | ⏱
📌 Demystifying Policy Optimization in RL: An Introduction to PPO and GRPO 🗂 Category: DEEP LEARNING 🕒 Date: 2025-05-26 | ⏱️ Read time: 16 min read A beginner-friendly guide to PPO and GRPO: simplifying policy optimization in reinforcement learning

📌 Understanding Matrices | Part 1: Matrix-Vector Multiplication 🗂 Category: MATH 🕒 Date: 2025-05-26 | ⏱️ Read time: 13 min
📌 Understanding Matrices | Part 1: Matrix-Vector Multiplication 🗂 Category: MATH 🕒 Date: 2025-05-26 | ⏱️ Read time: 13 min read The physical meaning of multiplying a matrix by a vector, and how it works on…

📌 The Best AI Books & Courses for Getting a Job 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-05-26 | ⏱️ Read time: 8 m
📌 The Best AI Books & Courses for Getting a Job 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-05-26 | ⏱️ Read time: 8 min read A comprehensive guide to the books and courses that helped me learn AI

📌 How to Reduce Your Power BI Model Size by 90% 🗂 Category: DATA ENGINEERING 🕒 Date: 2025-05-26 | ⏱️ Read time: 21 min rea
📌 How to Reduce Your Power BI Model Size by 90% 🗂 Category: DATA ENGINEERING 🕒 Date: 2025-05-26 | ⏱️ Read time: 21 min read Have you ever wondered what makes Power BI so fast and powerful when it comes…

📌 Code Agents: The Future of Agentic AI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-05-26 | ⏱️ Read time: 17 min read
📌 Code Agents: The Future of Agentic AI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-05-26 | ⏱️ Read time: 17 min read HuggingFace smolagents framework in action

📌 Why Regularization Isn’t Enough: A Better Way to Train Neural Networks with Two Objectives 🗂 Category: DEEP LEARNING 🕒 D
📌 Why Regularization Isn’t Enough: A Better Way to Train Neural Networks with Two Objectives 🗂 Category: DEEP LEARNING 🕒 Date: 2025-05-27 | ⏱️ Read time: 32 min read Why splitting your objectives and your model might be the key to better performance and…

📌 Reinforcement Learning Made Simple: Build a Q-Learning Agent in Python 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-
📌 Reinforcement Learning Made Simple: Build a Q-Learning Agent in Python 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-05-27 | ⏱️ Read time: 11 min read Inspired by AlphaGo’s Move 37 — learn how agents explore, exploit, and win