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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

Ko'proq ko'rsatish

📈 Telegram kanali Machine Learning analitikasi

Machine Learning (@machinelearning9) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 40 193 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, 40 193 obunachiga ega bo‘ldi.

01 Iyul, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 355 ga, so‘nggi 24 soatda esa 21 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 2.12% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 818 marta ko‘riladi; birinchi sutkada odatda 851 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 2 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 02 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.

40 193
Obunachilar
+2124 soatlar
+857 kunlar
+35530 kunlar
Postlar arxiv
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📌 Feature Extraction for Time Series, from Theory to Practice, with Python 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-24 | ⏱
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📌 Real-Time Intelligence in Microsoft Fabric: The Ultimate Guide 🗂 Category: DATA SCIENCE 🕒 Date: 2025-10-04 | ⏱️ Read tim
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📌 Deploy Models with AWS SageMaker Endpoints – Step by Step Implementation 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-30 | ⏱
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📌 Advanced SQL for Data Science 🗂 Category: ANALYTICS 🕒 Date: 2024-08-24 | ⏱️ Read time: 15 min read Expert techniques to
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📌 Automating ETL to SFTP Server Using Python and SQL 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-24 | ⏱️ Read time: 19 min re
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📌 Solving The Travelling Salesman Problem Using A Genetic Algorithm 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-08-25 | ⏱️ R
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📌 Advanced Retrieval Techniques in a World of 2M Token Context Windows: Part 2 on Re-rankers 🗂 Category: 🕒 Date: 2024-08-2
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📌 Tackle Complex LLM Decision-Making with Language Agent Tree Search (LATS) & GPT-4o 🗂 Category: 🕒 Date: 2024-08-26 | ⏱️ R
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📌 Introducing Markov Decision Processes, Setting up Gymnasium Environments and Solving them via Dynamic Programming Methods
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