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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 40 244 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, 40 244 obunachiga ega bo‘ldi.

05 Iyul, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 346 ga, so‘nggi 24 soatda esa 22 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

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  • Post qamrovi: Har bir post o‘rtacha 794 marta ko‘riladi; birinchi sutkada odatda 749 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 06 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
📌 Are You Sure You Want to Become a Data Science Manager? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-22 | ⏱️ Read time: 18 m
📌 Are You Sure You Want to Become a Data Science Manager? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-22 | ⏱️ Read time: 18 min read Don’t rush into the fancy title until you have read this.

📌 Another Hike Up Everest 🗂 Category: 🕒 Date: 2024-11-22 | ⏱️ Read time: 9 min read How to make progress on hard problems
📌 Another Hike Up Everest 🗂 Category: 🕒 Date: 2024-11-22 | ⏱️ Read time: 9 min read How to make progress on hard problems in AI

📌 LLM Routing – Intuitively and Exhaustively Explained 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-22 | ⏱️ Read ti
📌 LLM Routing – Intuitively and Exhaustively Explained 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-22 | ⏱️ Read time: 69 min read Dynamically Choosing the Right LLM

📌 Dynamic, Lazy Dependency Injection in Python 🗂 Category: CODING 🕒 Date: 2024-11-22 | ⏱️ Read time: 7 min read Automatic
📌 Dynamic, Lazy Dependency Injection in Python 🗂 Category: CODING 🕒 Date: 2024-11-22 | ⏱️ Read time: 7 min read Automatic Python dependency injection to make your code more testable, decoupled, uncomplicated and readable

📌 How Spotify Implemented Personalized Audiobook Recommendations 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-22 |
📌 How Spotify Implemented Personalized Audiobook Recommendations 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-22 | ⏱️ Read time: 9 min read Personalized audiobook recommendations using graph neural networks

📌 Don’t Be Afraid to Use Machine Learning for Simple Tasks 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-22 | ⏱️ Read time: 7 m
📌 Don’t Be Afraid to Use Machine Learning for Simple Tasks 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-22 | ⏱️ Read time: 7 min read A common misconception across industries

📌 Productionising GenAI Agents: Evaluating Tool Selection with Automated Testing 🗂 Category: MACHINE LEARNING 🕒 Date: 2024
📌 Productionising GenAI Agents: Evaluating Tool Selection with Automated Testing 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-11-22 | ⏱️ Read time: 21 min read How to create reliable and scalable GenAI Agents for real-world applications

📌 Documenting Python Projects with MkDocs 🗂 Category: 🕒 Date: 2024-11-22 | ⏱️ Read time: 9 min read Use Markdown to quickl
📌 Documenting Python Projects with MkDocs 🗂 Category: 🕒 Date: 2024-11-22 | ⏱️ Read time: 9 min read Use Markdown to quickly create a beautiful documentation page for your projects

📌 Engineering the Future: Common Threads in Data, Software, and Artificial Intelligence 🗂 Category: ARTIFICIAL INTELLIGENCE
📌 Engineering the Future: Common Threads in Data, Software, and Artificial Intelligence 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-23 | ⏱️ Read time: 8 min read How recognizing cross-discipline commonalities not only enhances recruitment strategies but also supports adaptable IT architectures.

📌 Implementing Streamlit-Authenticator Across Multi-Page Apps 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-23 | ⏱️ Read time:
📌 Implementing Streamlit-Authenticator Across Multi-Page Apps 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-23 | ⏱️ Read time: 7 min read Streamlit-Authenticator allows you to add a simple yet robust method for user authentication in a…

📌 Confidence Interval vs. Prediction Interval 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-24 | ⏱️ Read time: 9 min read A sma
📌 Confidence Interval vs. Prediction Interval 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-24 | ⏱️ Read time: 9 min read A small but important difference that you should know

📌 The Difference Between ML Engineers and Data Scientists 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-24 | ⏱️ Read
📌 The Difference Between ML Engineers and Data Scientists 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-24 | ⏱️ Read time: 6 min read Helping you decide whether you want to be a data scientist or machine learning engineer

📌 Perform Outlier Detection More Effectively Using Subsets of Features 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-24 | ⏱️ Re
📌 Perform Outlier Detection More Effectively Using Subsets of Features 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-24 | ⏱️ Read time: 38 min read Identify relevant subspaces: subsets of features that allow you to most effectively perform outlier detection…

📌 Step-by-Step Guide for Building Waffle Charts in Plotly 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-25 | ⏱️ Read time: 13 m
📌 Step-by-Step Guide for Building Waffle Charts in Plotly 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-25 | ⏱️ Read time: 13 min read Learn how to create custom waffle charts in Python using Plotly for data visualization

📌 Bias-Variance Tradeoff, Explained: A Visual Guide with Code Examples for Beginners 🗂 Category: MACHINE LEARNING 🕒 Date:
📌 Bias-Variance Tradeoff, Explained: A Visual Guide with Code Examples for Beginners 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-11-25 | ⏱️ Read time: 22 min read How underfitting and overfitting fight over your models

📌 Why Batch Normalization Matters for Deep Learning 🗂 Category: DEEP LEARNING 🕒 Date: 2024-11-25 | ⏱️ Read time: 13 min re
📌 Why Batch Normalization Matters for Deep Learning 🗂 Category: DEEP LEARNING 🕒 Date: 2024-11-25 | ⏱️ Read time: 13 min read Discover the role of batch normalization in streamlining neural network training and improving model performance

📌 Trapped in the Net: Where is a Foundation Model for Graphs? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-25 | ⏱️
📌 Trapped in the Net: Where is a Foundation Model for Graphs? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-25 | ⏱️ Read time: 12 min read Disconnected from the other modalities graphs wait for their AI revolution: is it coming?

📌 Dog Poop Compass: Bayesian Analysis of Canine Business 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-25 | ⏱️ Read time: 23 mi
📌 Dog Poop Compass: Bayesian Analysis of Canine Business 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-25 | ⏱️ Read time: 23 min read A Bayesian analysis of canine business

📌 Building a Knowledge Graph From Scratch Using LLMs 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-25 | ⏱️ Read time
📌 Building a Knowledge Graph From Scratch Using LLMs 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-25 | ⏱️ Read time: 46 min read Turn your Pandas Data Frame into a Knowledge Graph using LLMs. Build your own LLM…

📌 Deploying a PICO Extractor in Five Steps 🗂 Category: NATURAL LANGUAGE PROCESSING 🕒 Date: 2025-09-19 | ⏱️ Read time: 8 mi
📌 Deploying a PICO Extractor in Five Steps 🗂 Category: NATURAL LANGUAGE PROCESSING 🕒 Date: 2025-09-19 | ⏱️ Read time: 8 min read Lessons learned deploying a domain-specific NER model