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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Tarmoq:Machine Learning with Python Suriya227 Texnologiyalar & Aralashmalar3 365...

📈 Telegram kanali Machine Learning analitikasi

Machine Learning (@machinelearning9) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 40 202 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 365-o'rinni va Suriya mintaqasida 227-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 40 202 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.

40 202

Obunachilar

+1024 soatlar

+837 kunlar

+34330 kunlar

800

Post ko'rishlar

~ 91524 soatlar

~ 1 23548 soatlar

1.99%

Muloqot nisbati

~ 3

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Postlar arxiv

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📌 How I Used Clustering to Improve Chunking and Build Better RAGs 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-04 | ⏱️ Read time: 8 min read It’s both fast and cost-effective

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📌 Batch And Streaming Demystified For Unification 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-09-04 | ⏱️ Read time: 29 min read Understand how batch can be considered a subset of streaming and why data engineering should…

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📌 How to Train a Vision Transformer (ViT) from Scratch 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-04 | ⏱️ Read time: 13 min read A practical guide to implementing the Vision Transformer (ViT)

40 198

📌 Hands-On Global Optimization Methods, with Python 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-04 | ⏱️ Read time: 15 min read Four methods to find the maximum (or minimum) of your black box objective function

40 198

📌 Monte Carlo Methods for Solving Reinforcement Learning Problems 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-09-04 | ⏱️ Read time: 20 min read Dissecting “Reinforcement Learning” by Richard S. Sutton with Custom Python Implementations, Episode III

40 198

📌 Automated Prompt Engineering: The Definitive Hands-On Guide 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-09-04 | ⏱️ Read time: 26 min read Learn how to automate prompt engineering and unlock significant performance improvements in your LLM workload

40 198

📌 Understanding Time Series Structural Changes 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-04 | ⏱️ Read time: 7 min read How to detect time series change points using Python

40 198

📌 Your Pathway to Success: How You Can Land a Machine Learning and Data Science Internship 🗂 Category: CAREER ADVICE 🕒 Date: 2024-09-04 | ⏱️ Read time: 18 min read Advice and tips from a data scientist who landed two internships in a year

40 198

📌 Peer Review Demystified: What, Why, and How 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-09-04 | ⏱️ Read time: 12 min read Learnings as an AI & Robotics Associate Editor with 100 Peer Reviews

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📌 GPTs and the Forehead Detective 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-05 | ⏱️ Read time: 14 min read Are the reasoning capabilities of OpenAI LLMs good enough to play the classic guessing game?

40 198

📌 My Weekly Calendar as a Senior Data Science Manager 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-05 | ⏱️ Read time: 17 min read My goal is to cover the 3Ps: People, Projects and Process. In that order of…

40 198

📌 The Latest on LLMs: Decision-Making, Knowledge Graphs, Reasoning Skills, and More 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-05 | ⏱️ Read time: 5 min read Our weekly selection of must-read Editors’ Picks and original features

40 198

📌 How to Make an Advanced Spider Chart in Python 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-05 | ⏱️ Read time: 8 min read Step-by-step explanation with an easy to use function at the end

40 198

📌 Image Segmentation With K-Means Clustering 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-09-05 | ⏱️ Read time: 11 min read An introduction with Python

40 198

📌 An Introduction to Bayesian A/B Testing 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-09-05 | ⏱️ Read time: 7 min read Gain better insights from your data

40 198

📌 How to Create a Custom Matplotlib Theme and Make Your Charts Go from Boring to Amazing 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-05 | ⏱️ Read time: 6 min read The best part? You’ll only have to do this once.

40 198

📌 Building a Multilingual Multi-Agent Chat Application Using LangGraph – Part I 🗂 Category: 🕒 Date: 2024-09-06 | ⏱️ Read time: 12 min read In this 3-part series, learn how to build a RAG-based, multilingual, agentic chat application to…

40 198

📌 Reasoning as the Engine Driving Legal Arguments 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-06 | ⏱️ Read time: 12 min read Statements of reasoning indicate types of argument

40 198

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40 198

📌 A Guide to Clustering Algorithms 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-06 | ⏱️ Read time: 6 min read An overview of clustering and the different families of clustering algorithms.