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 Suriya228 Texnologiyalar & Aralashmalar3 344...

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Machine Learning (@machinelearning9) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 40 221 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 344-o'rinni va Suriya mintaqasida 228-o'rinni egallagan.

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невідомо sanasidan buyon loyiha tez o‘sib, 40 221 obunachiga ega bo‘ldi.

03 Iyul, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 338 ga, so‘nggi 24 soatda esa 9 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

Tasdiqlash holati: Tasdiqlanmagan
Jalb etish (ER): Auditoriya o‘rtacha 2.04% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.42% ini tashkil etuvchi reaksiyalarni to‘playdi.
Post qamrovi: Har bir post o‘rtacha 822 marta ko‘riladi; birinchi sutkada odatda 973 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.

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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 04 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.

40 221

Obunachilar

+924 soatlar

+727 kunlar

+33830 kunlar

822

Post ko'rishlar

~ 97324 soatlar

~ 1 32148 soatlar

2.04%

Muloqot nisbati

~ 3

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📌 RAG Explained: Reranking for Better Answers 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-09-24 | ⏱️ Read time: 10 min read How reranking improves retrieval-augmented generation by surfacing the most relevant results

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📌 GraphMuse: A Python Library for Symbolic Music Graph Processing 🗂 Category: DEEP LEARNING 🕒 Date: 2024-10-17 | ⏱️ Read time: 12 min read Yes, music and graphs do mix!

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📌 Autoencoders: An Ultimate Guide for Data Scientists 🗂 Category: DEEP LEARNING 🕒 Date: 2024-10-17 | ⏱️ Read time: 25 min read A beginner’s guide to the architecture, Python implementation, and a glimpse into the future

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📌 Why You Should Be Hiring Methodologists 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-17 | ⏱️ Read time: 6 min read “All you need to do is develop your mind. If you have thought deeply, nearly…

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📌 How to Export a Stata “Notebook” to HTML 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-17 | ⏱️ Read time: 9 min read Create a shareable HTML document with your code, outputs, and graphs

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📌 Reinforcement Learning for Physics: ODEs and Hyperparameter Tuning 🗂 Category: PHYSICS 🕒 Date: 2024-10-17 | ⏱️ Read time: 13 min read Controlling differential equations with gymnasium and optimizing algorithm hyperparameters

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📌 What are Digital Twins? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-18 | ⏱️ Read time: 7 min read Bridging the physical and digital worlds