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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 40 202 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
Postlar arxiv
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📌 The Evolution of Llama: From Llama 1 to Llama 3.1 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-06 | ⏱️ Read time:
📌 The Evolution of Llama: From Llama 1 to Llama 3.1 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-06 | ⏱️ Read time: 17 min read A Comprehensive Guide to the Advancements and Innovations in the Family of Llama Models from…

📌 Scaling Numerical Data, Explained: A Visual Guide with Code Examples for Beginners 🗂 Category: DATA SCIENCE 🕒 Date: 2024
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📌 An Intuitive Introduction to Reinforcement Learning, Part I 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-09-06 | ⏱️ Read ti
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📌 How to Implement Graph RAG Using Knowledge Graphs and Vector Databases 🗂 Category: 🕒 Date: 2024-09-06 | ⏱️ Read time: 49
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📌 Why Ratios Trump Raw Numbers in Business Health 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-06 | ⏱️ Read time: 5 min read U
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📌 Achieve Better Classification Results with ClassificationThresholdTuner 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-07 | ⏱️
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📌 Forever Learning: Why AI Struggles with Adapting to New Challenges 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-0
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📌 From Theory to Practice with Particle Swarm Optimization, Using Python 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-
📌 From Theory to Practice with Particle Swarm Optimization, Using Python 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-07 | ⏱️ Read time: 11 min read Here’s a tutorial on what PSO is and how to use it

📌 The Price of Gold: Is Olympic Success Reserved for the Wealthy? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-07 | ⏱️ Read ti
📌 The Price of Gold: Is Olympic Success Reserved for the Wealthy? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-07 | ⏱️ Read time: 15 min read Analyzing 30 years of Olympic Games medals distribution and national wealth indicators

📌 Calculating Contact 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-07 | ⏱️ Read time: 8 min read A Data-Driven Look at Alien C
📌 Calculating Contact 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-07 | ⏱️ Read time: 8 min read A Data-Driven Look at Alien Civilizations (Part 1 of the Drake Equation Series)

📌 From Stars to Life 🗂 Category: 🕒 Date: 2024-09-07 | ⏱️ Read time: 12 min read A Data-Driven Journey (Part 2 of the Drake
📌 From Stars to Life 🗂 Category: 🕒 Date: 2024-09-07 | ⏱️ Read time: 12 min read A Data-Driven Journey (Part 2 of the Drake Equation Series)

📌 How I Solved LinkedIn Queens Game Using Backtracking 🗂 Category: 🕒 Date: 2024-09-07 | ⏱️ Read time: 11 min read Using Op
📌 How I Solved LinkedIn Queens Game Using Backtracking 🗂 Category: 🕒 Date: 2024-09-07 | ⏱️ Read time: 11 min read Using OpenCV to auto-detect puzzle and redraw the final answer

📌 Understanding Einstein’s Notation and einsum Multiplication 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-08 | ⏱️
📌 Understanding Einstein’s Notation and einsum Multiplication 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-08 | ⏱️ Read time: 5 min read Perform higher-order tensor operations with string notation

📌 Communicating with the Cosmos 🗂 Category: 🕒 Date: 2024-09-08 | ⏱️ Read time: 15 min read Estimating Alien Civilizations
📌 Communicating with the Cosmos 🗂 Category: 🕒 Date: 2024-09-08 | ⏱️ Read time: 15 min read Estimating Alien Civilizations (Part 3 of the Drake Equation Series)

📌 Intuitive Explanation of Async / Await in JavaScript 🗂 Category: JAVASCRIPT 🕒 Date: 2024-09-08 | ⏱️ Read time: 11 min re
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📌 Python QuickStart for People Learning AI 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-08 | ⏱️ Read time: 15 min read A begin
📌 Python QuickStart for People Learning AI 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-08 | ⏱️ Read time: 15 min read A beginner-friendly guide