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

Ko'proq ko'rsatish

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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📌 Automate Video Chaptering with LLMs and TF-IDF 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-09-09 | ⏱️ Read time: 14 min read Transform raw transcripts into well-structured documents

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📌 Does Semi-Supervised Learning Help to Train Better Models? 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-09-09 | ⏱️ Read time: 8 min read Evaluating how semi-supervised learning can leverage unlabeled data

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📌 Is Multi-Collinearity Destroying Your Causal Inferences In Marketing Mix Modelling? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-10 | ⏱️ Read time: 18 min read Causal AI, exploring the integration of causal reasoning into machine learning

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📌 MobileNetV2 Paper Walkthrough: The Smarter Tiny Giant 🗂 Category: DEEP LEARNING 🕒 Date: 2025-10-03 | ⏱️ Read time: 28 min read Understanding and implementing MobileNetV2 with PyTorch — the next generation of MobileNetV1

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📌 Introducing NumPy, Part 3: Manipulating Arrays 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-15 | ⏱️ Read time: 7 min read Shaping, transposing, joining, and splitting arrays

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📌 Key Insights for Teaching AI Agents to Remember 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-10 | ⏱️ Read time: 20 min read Recommendations on building robust memory capabilities based on experimentation with Autogen’s “Teachable Agents”

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📌 The Art of Asking Questions for Engineers 🗂 Category: BUSINESS 🕒 Date: 2024-09-10 | ⏱️ Read time: 6 min read A Guideline for Asking Impactful Questions

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📌 Practical Introduction to Polars 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-10 | ⏱️ Read time: 13 min read Hands-on guide with side-by-side examples in Pandas

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