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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 40 149 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 375-o'rinni va Suriya mintaqasida 227-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 40 149 obunachiga ega bo‘ldi.

28 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 378 ga, so‘nggi 24 soatda esa 7 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 2.09% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.91% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 841 marta ko‘riladi; birinchi sutkada odatda 766 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 29 Iyun, 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.

40 149
Obunachilar
+724 soatlar
+1147 kunlar
+37830 kunlar
Postlar arxiv
📌 System Design: Load Balancer 🗂 Category: 🕒 Date: 2024-06-28 | ⏱️ Read time: 9 min read Orchestrating strategies for opti
📌 System Design: Load Balancer 🗂 Category: 🕒 Date: 2024-06-28 | ⏱️ Read time: 9 min read Orchestrating strategies for optimal workload distribution in microservice applications

📌 Demonstrating Prioritization Effectiveness in Sales 🗂 Category: 🕒 Date: 2024-06-28 | ⏱️ Read time: 6 min read The power
📌 Demonstrating Prioritization Effectiveness in Sales 🗂 Category: 🕒 Date: 2024-06-28 | ⏱️ Read time: 6 min read The power of machine learning for contact priorization

📌 5 Habits That Made Me A Data Scientist 🗂 Category: CODING 🕒 Date: 2024-06-28 | ⏱️ Read time: 7 min read Advice and tips
📌 5 Habits That Made Me A Data Scientist 🗂 Category: CODING 🕒 Date: 2024-06-28 | ⏱️ Read time: 7 min read Advice and tips on becoming a data scientist

📌 Different Ways of Image Generation with Stable Diffusion 3 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-28 | ⏱️ Read time: 8
📌 Different Ways of Image Generation with Stable Diffusion 3 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-28 | ⏱️ Read time: 8 min read Running SD3 in Google Colab and on a Local PC

📌 Modeling the Extinction of the Catalan Language 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-28 | ⏱️ Read time: 10 min read
📌 Modeling the Extinction of the Catalan Language 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-28 | ⏱️ Read time: 10 min read Applying existing literature to a practical case

📌 Using OpenAI and PandasAI for Series Operations 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-29 | ⏱️ Read time: 6
📌 Using OpenAI and PandasAI for Series Operations 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-29 | ⏱️ Read time: 6 min read Incorporate natural language queries and operations into your Python data cleaning workflow.

📌 Explainability, Interpretability and Observability in Machine Learning 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-06-30 |
📌 Explainability, Interpretability and Observability in Machine Learning 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-06-30 | ⏱️ Read time: 7 min read These are terms commonly used to describe the transparency of a model, but what do…

Over $20 BILLION wiped out, 1M+ traders erased in hours. Why did no one warn you? I switched from daily trading to arbitrage
Over $20 BILLION wiped out, 1M+ traders erased in hours. Why did no one warn you? I switched from daily trading to arbitrage right before the chaos—here’s the signal everyone’s missing. Are you ready to stop gambling? Find out how #ad InsideAds

📌 3 Essential Questions to Address When Building an API-Involved Incremental Data Loading Script 🗂 Category: DATA ENGINEERI
📌 3 Essential Questions to Address When Building an API-Involved Incremental Data Loading Script 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-06-30 | ⏱️ Read time: 9 min read This article explains both the conceptual framework and practical code implementation for syncing data from…

📌 Learn Transformer Fine-Tuning and Segment Anything 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-06-30 | ⏱️ Read time: 13 mi
📌 Learn Transformer Fine-Tuning and Segment Anything 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-06-30 | ⏱️ Read time: 13 min read Train Meta’s SAM to segment high fidelity masks for any domain

📌 Analyzing the Pros and Cons of Electric Vehicle Purchases: Insights from Newspaper News 🗂 Category: DATA SCIENCE 🕒 Date:
📌 Analyzing the Pros and Cons of Electric Vehicle Purchases: Insights from Newspaper News 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-01 | ⏱️ Read time: 10 min read In today’s market, buying electric cars represents an important challenge and a purchase decision that…

📌 Mastering SQL Optimization: From Functional to Efficient Queries 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-01 | ⏱️ Read t
📌 Mastering SQL Optimization: From Functional to Efficient Queries 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-01 | ⏱️ Read time: 11 min read Six Simple Yet Effective SQL Tips That Helped Me Reduce 50 Hours of Snowflake Query…

📌 Chart Wars: Pie Chart vs. Sorted Radial Bar Chart 🗂 Category: DATA VISUALIZATION 🕒 Date: 2024-07-01 | ⏱️ Read time: 8 mi
📌 Chart Wars: Pie Chart vs. Sorted Radial Bar Chart 🗂 Category: DATA VISUALIZATION 🕒 Date: 2024-07-01 | ⏱️ Read time: 8 min read Have your pie and eat it too!

📌 You Don’t Know Jacc(ard) 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-01 | ⏱️ Read time: 11 min read When the Jaccard simila
📌 You Don’t Know Jacc(ard) 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-01 | ⏱️ Read time: 11 min read When the Jaccard similarity index isn’t the right tool for the job, and what to…

📌 Framework for Success Metrics Questions | Facebook Groups Success Metrics 🗂 Category: META 🕒 Date: 2024-07-01 | ⏱️ Read
📌 Framework for Success Metrics Questions | Facebook Groups Success Metrics 🗂 Category: META 🕒 Date: 2024-07-01 | ⏱️ Read time: 6 min read The framework that will help you ace upcoming interviews

📌 Using a JSON Agent with LangChain, LangSmith and OpenAI’s GPT-4o 🗂 Category: 🕒 Date: 2024-07-01 | ⏱️ Read time: 9 min re
📌 Using a JSON Agent with LangChain, LangSmith and OpenAI’s GPT-4o 🗂 Category: 🕒 Date: 2024-07-01 | ⏱️ Read time: 9 min read Developing a chatbot to answer questions about a JSON dataset

📌 How to Turn Your AI Idea Into a Scalable Product: A Technical Guide 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-
📌 How to Turn Your AI Idea Into a Scalable Product: A Technical Guide 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-02 | ⏱️ Read time: 9 min read Time to leave localhost behind and start acquiring users

📌 Introduction to Linear Programming – Part II 🗂 Category: CODING 🕒 Date: 2024-07-02 | ⏱️ Read time: 16 min read Productio
📌 Introduction to Linear Programming – Part II 🗂 Category: CODING 🕒 Date: 2024-07-02 | ⏱️ Read time: 16 min read Production optimisation with R

📌 RFM Segmentation: Unleashing Customer Insights 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-02 | ⏱️ Read time: 9 min read Tr
📌 RFM Segmentation: Unleashing Customer Insights 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-02 | ⏱️ Read time: 9 min read Transforming customer data into actionable insights with RFM segmentation

📌 Continual Learning – A Deep Dive Into Elastic Weight Consolidation Loss 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-02 | ⏱️
📌 Continual Learning – A Deep Dive Into Elastic Weight Consolidation Loss 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-02 | ⏱️ Read time: 10 min read With PyTorch Implementation