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Artificial Intelligence

Artificial Intelligence

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Artificial Intelligence (@artificial_intelligence_com) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 72 357 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 1 739-o'rinni va Hindiston mintaqasida 4 354-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 72 357 obunachiga ega bo‘ldi.

02 Sentabr, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 241 ga, so‘nggi 24 soatda esa -16 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 6.62% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.88% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 4 791 marta ko‘riladi; birinchi sutkada odatda 1 359 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 14 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent learning, linkedin, linux, udemy, 040k| kabi asosiy mavzularga jamlangan.

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Yuqori yangilanish chastotasi (oxirgi ma’lumot 03 Sentabr, 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.

72 357
Obunachilar
-1624 soatlar
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+24130 kun
Postlar arxiv
--- Part 3: Classification ---

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05 - Simple Linear Regression.zip211.07 MB

--- Part 2: Regression ---

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02 - Data Preprocessing.zip25.55 MB

--- Part 1: Data Preprocessing ---

01_Welcome_to_the_course!_Here_we_will_help_you_get_started_in_the.zip48.19 MB

🔰 Machine Learning A-Z [2026]: AI, AWS, Python & R + LLM Prize 🌟 4.5 - 203785 votes 💰 Original Price: $64.99 📖 Learn to c
🔰 Machine Learning A-Z [2026]: AI, AWS, Python & R + LLM Prize 🌟 4.5 - 203785 votes 💰 Original Price: $64.99 📖 Learn to create Machine Learning Algorithms in Python, R and AWS from two Data Science experts. Code templates included. 🔊 Taught By: Kirill Eremenko, Hadelin de Ponteves 📤 Download Full Course 📤 Download All Courses

Time Complexity of 10 Most Popular ML Algorithms
Time Complexity of 10 Most Popular ML Algorithms

🖥 Mindmap to learn machine learning
🖥 Mindmap to learn machine learning

📱Machine Learning 📱Applied Machine Learning: Value Estimation

🔅 Applied Machine Learning: Value Estimation 📝 Learn to build, evaluate, and deploy value estimation models using machine l
🔅 Applied Machine Learning: Value Estimation 📝 Learn to build, evaluate, and deploy value estimation models using machine learning with Python. 🌐 Author: Matt Harrison 🔰 Level: Intermediate ⏰ Duration: 1h 52m 📋 Topics: Model Training, Machine Learning, Artificial Intelligence 🔗 Join Machine Learning for more courses

Machine Learning
Machine Learning

🖥 Plexe 🛠 Plexe is a system that simplifies the creation of machine learning models by allowing users to describe their intent in natural language. 🔰 The system automatically generates functional models and is available as a Python library and cloud service. 🔰 Custom models are defined through a description including intent and input-output patterns, and can be created by a single team with support for distributed training using Ray. 🔰 Additionally, Plexe offers synthetic data generation and automatic schema inference features, supporting various LLM providers such as OpenAI and Anthropic. 🔗Links: https://github.com/plexe-ai/plexe

🖥 Top MLOps Truths Every Engineer Should Know (2026) 👇 • Python + ML libraries = your core skillset • Git is essential for
🖥 Top MLOps Truths Every Engineer Should Know (2026) 👇 • Python + ML libraries = your core skillset • Git is essential for model + experiment tracking • Cloud gives you the scale ML truly needs • Containers make ML environments reproducible • Kubernetes powers real ML production workloads • Clean data beats complex models every time • Monitor models continuously to catch drift early

📱Machine Learning 📱Machine Learning in Telecommunication: From Basics to Real-World Cases

🔅 Machine Learning in Telecommunication: From Basics to Real-World Cases 📝 Explore how machine learning optimizes telecom n
🔅 Machine Learning in Telecommunication: From Basics to Real-World Cases 📝 Explore how machine learning optimizes telecom networks through predictive analytics, automation, and real-world applications like fault detection and traffic forecasting. 🌐 Author: Itelcotech 🔰 Level: Intermediate ⏰ Duration: 2h 11m 📋 Topics: Machine Learning, Telecommunications, Reinforcement Learning 🔗 Join Machine Learning for more courses

Learning n8n from scratch
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Learning n8n from scratch

Learning n8n from scratch
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Learning n8n from scratch

Learning n8n from scratch
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Learning n8n from scratch

Tools for Machine Learning
Tools for Machine Learning