Artificial Intelligence

Kanalga Telegram’da o‘tish

🔒 Welcome Artificial Intelligence Channel Buy ads: https://telega.io/c/Artificial_Intelligence_COM

Ko'proq ko'rsatish

Tarmoq:Zero To Mastery Hindiston4 710 Texnologiyalar & Aralashmalar1 849...

📈 Telegram kanali Artificial Intelligence analitikasi

Artificial Intelligence (@artificial_intelligence_com) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 70 551 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 1 849-o'rinni va Hindiston mintaqasida 4 710-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 70 551 obunachiga ega bo‘ldi.

20 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 983 ga, so‘nggi 24 soatda esa 12 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

Tasdiqlash holati: Tasdiqlanmagan
Jalb etish (ER): Auditoriya o‘rtacha 7.02% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.78% ini tashkil etuvchi reaksiyalarni to‘playdi.
Post qamrovi: Har bir post o‘rtacha 4 954 marta ko‘riladi; birinchi sutkada odatda 1 257 ta ko‘rish yig‘iladi.
Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 6 ta reaksiya keladi.
Tematik yo‘nalishlar: Kontent learning, linkedin, linux, udemy, 040k| kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“🔒 Welcome Artificial Intelligence Channel Buy ads: https://telega.io/c/Artificial_Intelligence_COM”

Yuqori yangilanish chastotasi (oxirgi ma’lumot 21 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.

70 551

Obunachilar

+1224 soatlar

+1157 kunlar

+98330 kunlar

4 954

Post ko'rishlar

~ 1 25724 soatlar

~ 1 78348 soatlar

7.02%

Muloqot nisbati

~ 1

Kuniga postlar

Ads index

beta

Postlar arxiv

70 551

֎ New: ChatGPT users can now build real apps directly from chat ChatGPT's app store just added AppDeploy, and it works with free accounts too. Describe what you want to build, ChatGPT writes the code, AppDeploy handles deployment automatically inside the same chat, and you get a working link back right away. AppDeploy includes the infrastructure needed for real apps: 🔐 User login and permissions 🗄 Storage, database, realtime sync and notifications 🤖 Built in AI capabilities ☁️ Full backend, background jobs and scheduled tasks 🧪 Automatic QA for every change and built in versioning 🌐 Custom domains, secrets management and more Free to use. No subscription or credit card required. 👉 Install AppDeploy in ChatGPT and launch your first app in a few minutes

70 551

🖥 Machine Learning Time Complexity

70 551

Here are 5 beginner-to-advanced AI projects that will actually teach you the skills companies are hiring for: 1️⃣ Synthetic medical records with GANs 2️⃣ Image generation with GANs 3️⃣ Creative text generation with LLMs 4️⃣ Building AI agents with CrewAI 5️⃣ Multimodal AI models

70 551

📱Machine Learning 📱AI Workshop: Building AI Applications with Hugging Face Models

70 551

🔅 AI Workshop: Building AI Applications with Hugging Face Models 📝 Learn to develop AI applications for sentiment analysis, object detection, and speech recognition using Hugging Face's advanced models in this hands-on, project-based course. 🌐 Author: Dhhyey Desai 🔰 Level: Intermediate ⏰ Duration: 34m 📋 Topics: AI Software Development, Applied Machine Learning 🔗 Join Machine Learning for more courses

70 551

Confusion matrix is one of the important topic in machine learning because matrix like precision, recall and f1 score is calculated using it's values.

70 551

37 - Model Selection.zip260.40 MB

70 551

--- Part 10: Model Selection & Boosting ---

70 551

34 - Principal Component Analysis (PCA).zip192.40 MB

70 551

--- Part 9: Dimensionality Reduction ---

70 551

31 - Deep Learning.zip42.02 MB

70 551

--- Part 8: Deep Learning ---

70 551

30 - Natural Language Processing.zip554.77 MB

70 551

--- Part 7: Natural Language Processing ---

70 551

28 - Upper Confidence Bound (UCB).zip429.46 MB

70 551

--- Part 6: Reinforcement Learning ---

70 551

26 - Apriori.zip400.42 MB

70 551

--- Part 5: Association Rule Learning ---

70 551

24 - K-Means Clustering.zip55.52 MB

70 551

--- Part 4: Clustering ---