Endi mavjud! Telegram Tadqiqoti 2025 — yilning asosiy insaytlari 
AI and Machine Learning
Kanalga Telegram’da o‘tish
Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more! Buy ads: https://telega.io/c/machine_learning_courses
Ko'proq ko'rsatish📈 Telegram kanali AI and Machine Learning analitikasi
AI and Machine Learning (@machine_learning_courses) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 94 021 obunachidan iborat bo'lib, Taʼlim toifasida 1 561-o'rinni va Hindiston mintaqasida 3 020-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 94 021 obunachiga ega bo‘ldi.
24 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 986 ga, so‘nggi 24 soatda esa 67 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 6.50% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.56% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 6 109 marta ko‘riladi; birinchi sutkada odatda 1 470 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 8 ta reaksiya keladi.
- Tematik yo‘nalishlar: Kontent learning, llm, linkedin, linux, udemy kabi asosiy mavzularga jamlangan.
📝 Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more!
Buy ads: https://telega.io/c/machine_learning_courses”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 25 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Taʼlim toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.
94 021
Obunachilar
+6724 soatlar
+1517 kunlar
+98630 kunlar
Postlar arxiv
94 048
📂 Full description
Computer scientists are just a small slice of people working in artificial intelligence (AI). Most people working with AI are just like you. Theyre professionals, teachers, and students who want to use AI to enhance their products, creativity, and career. AI has been around for over half a century. Despite huge advancements in predictive and generative AI, the core concepts of artificial intelligence are still accessible.This course is designed for project managers, product managers, directors, executives, and students starting a career in AI. First, learn what it means for a system to display “intelligence.” Then, explore the difference between classic predictive AI and newer generative AI. Next, youll get an overview of machine learning algorithms, artificial neural networks, foundation models, and deep learning. From the AI curious to the AI careerist, this course will help you get started with intelligent systems.This course is part of a Professional Certificate from Microsoft.This course is part of a Professional Certificate from Microsoft.
94 048
🔅 Introduction to Artificial Intelligence
🌐 Author: Doug Rose
🔰 Level: Beginner
⏰ Duration: 2h 26m
🌀 Get an overview of some of the latest tools and techniques in predictive and generative artificial intelligence (AI).📗 Topics: Artificial Intelligence 📤 Join Artificial intelligence for more courses
94 048
📚 AI Engineering: Building Applications with Foundation Models 1st
Original Price: 57$
94 048
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🔰 2hrs on top & 8hrs in channel!
94 048
🔅 AI Engineering in 76 Minutes (Complete Course/Speedrun!)
All images are from the book AI Engineering unless otherwise credited.⏰ Timestamps 00:00 What is AI Engineering? 01:49 Understanding Foundation Models 08:40 Evaluating AI Models 14:50 Model Selection 23:15 Prompt Engineering 30:20 RAG and Context Construction 36:56 Agents and Memory Systems 43:02 Finetuning 52:40 Dataset Engineering 59:45 Inference Optimization 01:09:01 Architecture and User Feedback
94 048
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94 048
🔗 AI Agents
✅ An AI agent roadmap outlines the steps and skills needed to develop and deploy autonomous AI systems.
✅ This includes foundational skills in programming, AI/ML concepts, and data handling, progressing to more advanced topics like NLP, LLMs, and agentic frameworks.
✅ The roadmap also emphasizes practical experience through projects, community engagement, and potentially, internships or open-source contributions.
94 048
🔅 PREMIUM CHANNELS
-◦-◦--◦--◦-◦--◦--◦-◦--◦--◦-◦--◦-
🔰 The Coding Space
-◦-◦--◦--◦-◦--◦--◦-◦--
218k| 🔰 Linkedin Learning Courses
131k| 🔰 Premium Udemy Courses
129k| 🔰 Web Development
-◦-◦--◦-
109k| 🔰 Learn Python
097k| 🔰 JavaScript Courses
080k| 🔰 Machine Learning
-◦-◦--◦-
064k| 🔰 DevOps Tutorials
061k| 🔰 Learn React and NextJs
060k| 🔰 Data Analysis and Databases
-◦-◦--◦-
053k| 🔰 Linux and DevOps
045k| 🔰 100 Days of Python
044k| 🔰 Best Telegram Channels
-◦-◦--◦-
042k| 🔰 ChatGPT Mastery
042k| 🔰 Business Training
037k| 🔰 Mobile Development
-◦-◦--◦-
037k| 🔰 Zero to Mastery
036k| 🔰 Udemy Learning
033k| 🔰 Codedamn Courses
-◦-◦--◦-
033k| 🔰 Linkedin Learning
032k| 🔰 React 101
030k| 🔰 Crypto Lessons
-◦-◦--◦-
028k| 🔰 Coding Interview
023k| 🔰 Telegram's Shorts
-◦-◦--◦--◦-◦--◦--◦-◦--
🔰 Add Your Channel
-◦-◦--◦--◦-◦--◦--◦-◦--◦--◦-◦--◦-
🔰 2hrs on top & 8hrs in channel!
94 048
📚 Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
