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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 40 145 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 375-o'rinni va Suriya mintaqasida 227-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 40 145 obunachiga ega bo‘ldi.

28 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 378 ga, so‘nggi 24 soatda esa 7 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 2.09% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.91% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 841 marta ko‘riladi; birinchi sutkada odatda 766 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 29 Iyun, 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.

40 145
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Postlar arxiv
📌 How Many Pokemon Fit? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-12 | ⏱️ Read time: 10 min read Finding the best Pokemon t
📌 How Many Pokemon Fit? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-12 | ⏱️ Read time: 10 min read Finding the best Pokemon team by modeling and solving a knapsack problem with PokeAPI and…

📌 Time Series Regression and Cross-Validation: A Tidy Approach 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-12 | ⏱️ Read time:
📌 Time Series Regression and Cross-Validation: A Tidy Approach 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-12 | ⏱️ Read time: 8 min read Step by step guide to EDA, feature engineering, cross validation and model comparison with tidymodels,…

📌 A Python Engineer’s Introduction to 3D Gaussian Splatting (Part 2) 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-06-13 | ⏱️
📌 A Python Engineer’s Introduction to 3D Gaussian Splatting (Part 2) 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-06-13 | ⏱️ Read time: 8 min read Understanding and coding how Gaussian’s are used within 3D Gaussian Splatting

📌 AI Agent Unit Testing in Langfuse 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-13 | ⏱️ Read time: 10 min read Creating a sca
📌 AI Agent Unit Testing in Langfuse 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-13 | ⏱️ Read time: 10 min read Creating a scalable testing solution for AI agents for operation by non-coders

📌 My Easy Guide to Pre vs. Post Treatment Tests 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-13 | ⏱️ Read time: 13 min read A
📌 My Easy Guide to Pre vs. Post Treatment Tests 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-13 | ⏱️ Read time: 13 min read A quick introduction to Before and After Tests with code.

📌 Sparse Autoencoders, Additive Decision Trees, and Other Emerging Topics in AI Interpretability 🗂 Category: DATA SCIENCE �
📌 Sparse Autoencoders, Additive Decision Trees, and Other Emerging Topics in AI Interpretability 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-13 | ⏱️ Read time: 4 min read Our weekly selection of must-read Editors’ Picks and original features

📌 Take a Look Under the hood 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-06-13 | ⏱️ Read time: 13 min read Using Monose
📌 Take a Look Under the hood 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-06-13 | ⏱️ Read time: 13 min read Using Monosemanticity to understand the concepts a Large Language Model learned

📌 Improving Business Performance with Machine Learning 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-06-13 | ⏱️ Read time: 18
📌 Improving Business Performance with Machine Learning 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-06-13 | ⏱️ Read time: 18 min read Whether you are a data scientist, analyst, or business analyst, your goal is to deliver…

I was shocked how easy it is: I connected my signals,…and trades started happening. Nobody told me you could earn passively l
I was shocked how easy it is: I connected my signals,…and trades started happening. Nobody told me you could earn passively like that! This is the automation traders are hiding — it just works. Curious how? 👉 See the real tool in action #ad InsideAds

📌 Beyond AlphaFold: The Future Of LLM in Medicine 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-13 | ⏱️ Read time: 1
📌 Beyond AlphaFold: The Future Of LLM in Medicine 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-13 | ⏱️ Read time: 17 min read AlphaFold leaves a complex legacy: What will be the future of LLM in biology and…

📌 How I’d Become a Data Scientist (If I Had to Start Over) 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-14 | ⏱️ Read time: 12
📌 How I’d Become a Data Scientist (If I Had to Start Over) 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-14 | ⏱️ Read time: 12 min read Roadmap and tips on how to land a job in data science

📌 CUDA for AI – Intuitively and Exhaustively Explained 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-06-14 | ⏱️ Read time: 58
📌 CUDA for AI – Intuitively and Exhaustively Explained 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-06-14 | ⏱️ Read time: 58 min read Parallelized AI from scratch in CUDA

📌 Mapping the Pokemon World: A Network Analysis of Habitat-Based Encounters 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-14 |
📌 Mapping the Pokemon World: A Network Analysis of Habitat-Based Encounters 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-14 | ⏱️ Read time: 19 min read An introduction to Network Analysis in Python, along with a practical example using Pokemon data…

📌 Understanding Buffer of Thoughts (BoT) – Reasoning with Large Language Models 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-1
📌 Understanding Buffer of Thoughts (BoT) – Reasoning with Large Language Models 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-14 | ⏱️ Read time: 12 min read New prompt engineering tool for complex reasoning, compared with Chain of thought (CoT) and Tree…

📌 Gated Recurrent Units (GRU) – Improving RNNs 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-15 | ⏱️ Read time: 11 m
📌 Gated Recurrent Units (GRU) – Improving RNNs 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-15 | ⏱️ Read time: 11 min read Explaining how Gated Recurrent Neural Networks work

📌 Graph Visualization: 7 Steps from Easy to Advanced 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-15 | ⏱️ Read time: 10 min re
📌 Graph Visualization: 7 Steps from Easy to Advanced 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-15 | ⏱️ Read time: 10 min read Making visualization with Python, NetworkX, and D3.JS

📌 GPT from Scratch with MLX 🗂 Category: DEEP LEARNING 🕒 Date: 2024-06-15 | ⏱️ Read time: 36 min read Define and train GPT-
📌 GPT from Scratch with MLX 🗂 Category: DEEP LEARNING 🕒 Date: 2024-06-15 | ⏱️ Read time: 36 min read Define and train GPT-2 on your MacBook

📌 Erasing Clouds from Satellite Imagery Using GANs (Generative Adversarial Networks) 🗂 Category: DEEP LEARNING 🕒 Date: 202
📌 Erasing Clouds from Satellite Imagery Using GANs (Generative Adversarial Networks) 🗂 Category: DEEP LEARNING 🕒 Date: 2024-06-15 | ⏱️ Read time: 12 min read Building GANs from scratch in python

📌 Simple Model Retraining Automation via GitHub Actions 🗂 Category: EDUCATION 🕒 Date: 2024-06-15 | ⏱️ Read time: 13 min re
📌 Simple Model Retraining Automation via GitHub Actions 🗂 Category: EDUCATION 🕒 Date: 2024-06-15 | ⏱️ Read time: 13 min read Easily streamline your modelling process with the GitHub Actions.

📌 Analyzing Unstructured PDF Data w/ Embedding Models and LLMs 🗂 Category: 🕒 Date: 2024-06-15 | ⏱️ Read time: 8 min read H
📌 Analyzing Unstructured PDF Data w/ Embedding Models and LLMs 🗂 Category: 🕒 Date: 2024-06-15 | ⏱️ Read time: 8 min read How to turn PDFs into actionable insights