AI and Machine Learning

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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

Hindiston2 998 Taʼlim1 548...

📈 Telegram kanali AI and Machine Learning analitikasi

AI and Machine Learning (@machine_learning_courses) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 94 144 obunachidan iborat bo'lib, Taʼlim toifasida 1 548-o'rinni va Hindiston mintaqasida 2 998-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 94 144 obunachiga ega bo‘ldi.

28 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 939 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 7.03% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.49% ini tashkil etuvchi reaksiyalarni to‘playdi.
Post qamrovi: Har bir post o‘rtacha 6 622 marta ko‘riladi; birinchi sutkada odatda 2 343 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.

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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 29 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.

94 144

Obunachilar

+3724 soatlar

+2867 kunlar

+93930 kunlar

6 622

Post ko'rishlar

~ 2 34324 soatlar

~ 3 11848 soatlar

7.03%

Muloqot nisbati

~ 1

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94 144

What Is Generative AI? @Linkedin_Learning

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🔸 Full description 🔸 Whether you work in film, marketing, healthcare, automobile, or real-estate, generative AI is changing the way your job is executed, and those who adapt early will reap its benefits sooner. All professions will be affected by generative AI. Its invention can be compared to the invention of photography, a true creative revolution. If you want to be part of the leaders that are advancing this revolution, this course can get you started on your learning journey. In this course, generative AI expert Pinar Seyhan Demirdag covers the basics of generative AI, with topics including what it is, how it works, how to create your own content, different types of models, future predictions, and ethical implications.

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🔅 What Is Generative AI? 🌐 Author: Pinar Seyhan Demirdag 🔰 Level: Beginner ⏰ Duration: 42m 🌀

Learn about the basics of generative A.I., including its history, popular models, how it works, ethical implications, and much more.

📗 Topics: Artificial Intelligence for Business, Generative AI, Artificial Intelligence 📤 Join @linkedin_learning for more courses

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Do you enjoy reading this channel? Perhaps you have thought about placing ads on it? To do this, follow three simple steps: 1) Sign up: https://telega.io/c/machine_learning_courses 2) Top up the balance in a convenient way 3) Create an advertising post If the topic of your post fits our channel, we will publish it with pleasure.

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⚠️ 👆 The end

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51. Point Cloud Classification PointNet

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⚠️ To be continued

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41. Body Pose Estimation

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⚠️ To be continued

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31. Sign Language Detector TFODAPI EfficentDet

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⚠️ To be continued

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22. Google DeepStream and Neural Style Transfer

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15. Improving Models and Advanced CNN Design - Part 01

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⚠️ To be continued

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09. OpenCV Projects - Part 01

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01. Introduction

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🔰 Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4 🌟 4.2 - 1170 votes 💰 Original Price: $74.99

Using Python Learn OpenCV4, CNNs, Detectron2, YOLOv5, GANs, Tracking, Segmentation, Face Recognition & Siamese Networks

Taught By: Rajeev D. Ratan Download Full Course: https://t.me/machine_learning_courses/185 Download All Courses: https://t.me/zero_to_mastery

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