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AI and Machine Learning

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 94 077 obunachidan iborat bo'lib, Taʼlim toifasida 1 547-o'rinni va Hindiston mintaqasida 3 005-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 94 077 obunachiga ega bo‘ldi.

26 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 965 ga, so‘nggi 24 soatda esa 37 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 6.79% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.34% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 6 384 marta ko‘riladi; birinchi sutkada odatda 2 203 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 9 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 27 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.

94 077
Obunachilar
+3724 soatlar
+2267 kunlar
+96530 kunlar
Postlar arxiv
13 - Documenting ALL the Things!

12 - Refactoring

11 - Finalizing Our Code

10 - Finding More Bugs

09 - Finding Our First Bug(s)

08 - Prompting Our First Code

07 - Confirming Our Install

06 - Installing Python & an IDE

05 - Planning the Solution

04 - Reviewing Existing Documentation

03 - Identifying the Problem

02 - Program Building Phases

01 - Course Intro

💸 Programming with AI This course is designed to introduce beginner-level programmers to the fundamentals of writing clean,
💸 Programming with AI
This course is designed to introduce beginner-level programmers to the fundamentals of writing clean, efficient code with the help of AI-based programming assistants. It covers best practices in coding, prompt engineering for AI tools, and techniques to accelerate the development process.
🔗 Link : https://academy.tcm-sec.com/p/programming-with-ai

Repost from Linkedin Learning
Welcome to our Development Pack! 🚀 If you're interested in web development, mobile development, machine learning, or even Ch
Welcome to our Development Pack! 🚀 If you're interested in web development, mobile development, machine learning, or even ChatGPT, you're in the right place. You'll find channels for everything, starting with the famous Python 🐍 and JavaScript, and finishing with React, Next.js, AutoCAD, and SolidWorks. We also cover databases, Linux 🐧, ethical hacking, cybersecurity, finance and marketing, crypto tutorials, and many more. 🌟 📱 Development Pack

🤖 #1 Ultimate AI Assistant on Telegram, powered by ChatGPT, GPT-4o, Claude 3.5, Midjourney V6, Perplexity AI, and more. 💡 S
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Machine Learning Model
Machine Learning Model

Mind-Controlled Wheelchair

11. Appendix B Introduction To Artificial Intelligence

10. Appendix A Introduction To Cyber Security - Part 02