uz
Feedback
Machine Learning

Machine Learning

Kanalga Telegram’da o‘tish

Real Machine Learning — simple, practical, and built on experience. Learn step by step with clear explanations and working code. Admin: @HusseinSheikho || @Hussein_Sheikho

Ko'proq ko'rsatish

📈 Telegram kanali Machine Learning analitikasi

Machine Learning (@machinelearning9) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 40 291 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 341-o'rinni va Suriya mintaqasida 226-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 40 291 obunachiga ega bo‘ldi.

08 Iyul, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 353 ga, so‘nggi 24 soatda esa 12 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 2.31% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.90% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 929 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 09 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.

40 291
Obunachilar
+1224 soatlar
+867 kunlar
+35330 kunlar
Postlar arxiv
📌 Build Your First API with Python and AWS 🗂 Category: DATA ENGINEERING 🕒 Date: 2025-01-11 | ⏱️ Read time: 12 min read Lea
📌 Build Your First API with Python and AWS 🗂 Category: DATA ENGINEERING 🕒 Date: 2025-01-11 | ⏱️ Read time: 12 min read Learn how to create a simple, yet powerful REST API with FastAPI, DynamoDB, and AWS…

📌 LightGBM: The Fastest Option of Gradient Boosting 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-12 | ⏱️ Read time: 7 min read
📌 LightGBM: The Fastest Option of Gradient Boosting 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-12 | ⏱️ Read time: 7 min read Learn how to implement a fast and effective Gradient Boosting model using Python

📌 What Would a Stoic Do? – An AI-Based Decision-Making Model 🗂 Category: DEEP LEARNING 🕒 Date: 2025-01-12 | ⏱️ Read time:
📌 What Would a Stoic Do? – An AI-Based Decision-Making Model 🗂 Category: DEEP LEARNING 🕒 Date: 2025-01-12 | ⏱️ Read time: 14 min read Using AI to build Marcus Aurelius’ reincarnation

📌 What is MicroPython? Do I Need to Know it as a Data Scientist? 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-12 | ⏱️ Read tim
📌 What is MicroPython? Do I Need to Know it as a Data Scientist? 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-12 | ⏱️ Read time: 6 min read In this year’s edition of the Stack Overflow survey, MicroPython is with 1.6% in the…

📌 Using Constraint Programming to Solve Math Theorems 🗂 Category: MATHEMATICS 🕒 Date: 2025-01-12 | ⏱️ Read time: 6 min rea
📌 Using Constraint Programming to Solve Math Theorems 🗂 Category: MATHEMATICS 🕒 Date: 2025-01-12 | ⏱️ Read time: 6 min read Case study: the quasigroups existence problem

📌 Speed up Pandas code with Numpy 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-13 | ⏱️ Read time: 13 min read But I can’t vect
📌 Speed up Pandas code with Numpy 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-13 | ⏱️ Read time: 13 min read But I can’t vectorise this, can I?  …. yes, you probably can!

📌 How to Build a Knowledge Graph in Minutes (And Make It Enterprise-Ready) 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 202
📌 How to Build a Knowledge Graph in Minutes (And Make It Enterprise-Ready) 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-13 | ⏱️ Read time: 10 min read I tried and failed creating one-but it was when LLMs were not a thing!

📌 Understanding the Evolution of ChatGPT: Part 2 – GPT-2 and GPT-3 🗂 Category: DEEP LEARNING 🕒 Date: 2025-01-13 | ⏱️ Read
📌 Understanding the Evolution of ChatGPT: Part 2 – GPT-2 and GPT-3 🗂 Category: DEEP LEARNING 🕒 Date: 2025-01-13 | ⏱️ Read time: 10 min read Scaling from 117M to 175B: Insights into GPT-2 and GPT-3.

📌 Going Beyond Bias-Variance Tradeoff Into Double Descent Phenomenon 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-1
📌 Going Beyond Bias-Variance Tradeoff Into Double Descent Phenomenon 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-13 | ⏱️ Read time: 22 min read It’s not how many times you get knocked down that count, it’s how many times…

📌 A Multimodal AI Assistant: Combining Local and Cloud Models 🗂 Category: 🕒 Date: 2025-01-13 | ⏱️ Read time: 22 min read U
📌 A Multimodal AI Assistant: Combining Local and Cloud Models 🗂 Category: 🕒 Date: 2025-01-13 | ⏱️ Read time: 22 min read Use LangGraph, mlx and Florence2 to build an agent that answers complex image questions, with…

📌 Contextual Topic Modelling in Chinese Corpora with KeyNMF 🗂 Category: NATURAL LANGUAGE PROCESSING 🕒 Date: 2025-01-13 | ⏱
📌 Contextual Topic Modelling in Chinese Corpora with KeyNMF 🗂 Category: NATURAL LANGUAGE PROCESSING 🕒 Date: 2025-01-13 | ⏱️ Read time: 8 min read A comprehensive guide on getting the most out of your Chinese topic models, from preprocessing…

📌 The AI (R)Evolution, Looking From 2024 Into the Immediate Future 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-13
📌 The AI (R)Evolution, Looking From 2024 Into the Immediate Future 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-13 | ⏱️ Read time: 17 min read Witnessing rapid innovation, fierce competition, and transformative tools for life, work, and human development

📌 Understanding Flash Attention: Writing the Algorithm from Scratch in Triton 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date:
📌 Understanding Flash Attention: Writing the Algorithm from Scratch in Triton 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-15 | ⏱️ Read time: 7 min read Find out how Flash Attention works. Afterward, we’ll refine our understanding by writing a GPU…

📌 Qubits Explained: Everything You Need to Know 🗂 Category: PHYSICS 🕒 Date: 2025-01-15 | ⏱️ Read time: 11 min read A deep
📌 Qubits Explained: Everything You Need to Know 🗂 Category: PHYSICS 🕒 Date: 2025-01-15 | ⏱️ Read time: 11 min read A deep dive into the building block of quantum computers.

📌 Water Cooler Small Talk, Ep 6: Benford’s Law 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-15 | ⏱️ Read time: 10 min read A l
📌 Water Cooler Small Talk, Ep 6: Benford’s Law 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-15 | ⏱️ Read time: 10 min read A look into the strange first digit distribution of naturally occurring datasets

📌 Developing an AI-Powered Smart Guide for Business Planning & Entrepreneurship 🗂 Category: ENTREPRENEURSHIP 🕒 Date: 2025-
📌 Developing an AI-Powered Smart Guide for Business Planning & Entrepreneurship 🗂 Category: ENTREPRENEURSHIP 🕒 Date: 2025-01-16 | ⏱️ Read time: 35 min read A LangGraph-based advanced agentic RAG with standard business guides, AI-based web search, trusted sources, and…

📌 The Death of Human-Written Code Tutorials in the ChatGPT Era … Or Not? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-
📌 The Death of Human-Written Code Tutorials in the ChatGPT Era … Or Not? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-16 | ⏱️ Read time: 11 min read An argument in favor of human-written coding tutorials in the new age of LLMs.

📌 Why Data Scientists Can’t Afford Too Many Dimensions and What They Can Do About It 🗂 Category: DEEP LEARNING 🕒 Date: 202
📌 Why Data Scientists Can’t Afford Too Many Dimensions and What They Can Do About It 🗂 Category: DEEP LEARNING 🕒 Date: 2025-01-16 | ⏱️ Read time: 17 min read An in-depth article about dimensionality reduction and its most popular methods

📌 Charts, Dashboards, Maps, and More: Data Visualization in the Spotlight 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-16 | ⏱️
📌 Charts, Dashboards, Maps, and More: Data Visualization in the Spotlight 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-16 | ⏱️ Read time: 4 min read Our weekly selection of must-read Editors’ Picks and original features

📌 The Large Language Model Course 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-16 | ⏱️ Read time: 21 min read How t
📌 The Large Language Model Course 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-16 | ⏱️ Read time: 21 min read How to become an LLM Scientist or Engineer from scratch