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

Hindiston3 036 Taʼlim1 512...

📈 Telegram kanali AI and Machine Learning analitikasi

AI and Machine Learning (@machine_learning_courses) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 95 141 obunachidan iborat bo'lib, Taʼlim toifasida 1 512-o'rinni va Hindiston mintaqasida 3 036-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 95 141 obunachiga ega bo‘ldi.

25 Avgust, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 335 ga, so‘nggi 24 soatda esa -23 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

Tasdiqlash holati: Tasdiqlanmagan
Jalb etish (ER): Auditoriya o‘rtacha 10.63% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.44% ini tashkil etuvchi reaksiyalarni to‘playdi.
Post qamrovi: Har bir post o‘rtacha 10 117 marta ko‘riladi; birinchi sutkada odatda 2 325 ta ko‘rish yig‘iladi.
Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 18 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 26 Avgust, 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.

95 141

Obunachilar

-2324 soatlar

+107 kunlar

+33530 kunlar

10 117

Post ko'rishlar

~ 2 32524 soatlar

~ 3 19848 soatlar

10.63%

Muloqot nisbati

~ 1

Kuniga postlar

Ads index

beta

Ma'lumot yuklanmoqda...

O'xshash kanallar

77.3K

Data Science & Machine Learning

42.1K

Best Telegram Channels

15.9K

Artificial Intelligence

14.8K

LinkedIn Learning (Lynda)

2.6K

Best Offers - Courses, Books etc

Ko'proq kanallar

Taglar buluti

Kirish va chiqish esdaliklari

---

Obunachilarni jalb qilish

Avgust '26

+431

2 kanalda

Iyul '26

+780

16 kanalda

Get PRO

Iyun '26

+1 055

1 kanalda

Get PRO

May '26

+1 165

4 kanalda

Get PRO

Aprel '26

+792

19 kanalda

Get PRO

Mart '26

+821

19 kanalda

Get PRO

Fevral '26

+1 063

18 kanalda

Get PRO

Yanvar '26

+1 309

18 kanalda

Get PRO

Dekabr '25

+1 139

19 kanalda

Get PRO

Noyabr '25

+1 241

20 kanalda

Get PRO

Oktabr '25

+1 504

18 kanalda

Get PRO

Sentabr '25

+2 028

18 kanalda

Get PRO

Avgust '25

+2 762

19 kanalda

Get PRO

Iyul '25

+2 186

25 kanalda

Get PRO

Iyun '25

+1 398

17 kanalda

Get PRO

May '25

+2 047

22 kanalda

Get PRO

Aprel '25

+1 711

24 kanalda

Get PRO

Mart '25

+2 847

23 kanalda

Get PRO

Fevral '25

+3 008

22 kanalda

Get PRO

Yanvar '25

+3 423

0 kanalda

Get PRO

Dekabr '24

+4 022

4 kanalda

Get PRO

Noyabr '24

+5 156

2 kanalda

Get PRO

Oktabr '24

+2 670

21 kanalda

Get PRO

Sentabr '24

+3 586

23 kanalda

Get PRO

Avgust '24

+3 742

21 kanalda

Get PRO

Iyul '24

+4 400

25 kanalda

Get PRO

Iyun '24

+4 554

25 kanalda

Get PRO

May '24

+6 333

15 kanalda

Get PRO

Aprel '24

+1 997

1 kanalda

Get PRO

Mart '24

+2 668

2 kanalda

Get PRO

Fevral '24

+1 950

0 kanalda

Get PRO

Yanvar '24

+2 006

3 kanalda

Get PRO

Dekabr '23

+1 319

2 kanalda

Get PRO

Noyabr '23

+384

0 kanalda

Get PRO

Oktabr '23

+381

0 kanalda

Get PRO

Sentabr '23

+583

0 kanalda

Get PRO

Avgust '23

+1 318

0 kanalda

Get PRO

Iyul '23

+1 445

0 kanalda

Get PRO

Iyun '23

+1 200

0 kanalda

Get PRO

May '23

+1 576

0 kanalda

Get PRO

Aprel '23

+1 012

0 kanalda

Get PRO

Mart '23

+944

0 kanalda

Get PRO

Fevral '23

+918

0 kanalda

Get PRO

Yanvar '23

+1 089

0 kanalda

Get PRO

Dekabr '22

+944

0 kanalda

Get PRO

Noyabr '22

+789

0 kanalda

Get PRO

Oktabr '22

+581

0 kanalda

Get PRO

Sentabr '22

+885

0 kanalda

Get PRO

Avgust '22

+826

0 kanalda

Get PRO

Iyul '22

+844

0 kanalda

Get PRO

Iyun '22

+804

0 kanalda

Get PRO

May '22

+780

0 kanalda

Get PRO

Aprel '22

+4 074

0 kanalda

Get PRO

Mart '220

0 kanalda

Get PRO

Fevral '220

0 kanalda

Get PRO

Yanvar '220

0 kanalda

Get PRO

Dekabr '210

0 kanalda

Get PRO

Noyabr '21

+231

0 kanalda

Get PRO

Oktabr '21

+145

0 kanalda

Get PRO

Sentabr '21

+160

0 kanalda

Get PRO

Avgust '21

+143

0 kanalda

Get PRO

Iyul '21

+139

0 kanalda

Get PRO

Iyun '21

+359

0 kanalda

Get PRO

May '21

+513

0 kanalda

Sana	Obunachilarni jalb qilish	Esdaliklar	Kanallar
26 Avgust	0
25 Avgust	+6
24 Avgust	0
23 Avgust	0
22 Avgust	+24
21 Avgust	+4
20 Avgust	+27
19 Avgust	+28
18 Avgust	+24
17 Avgust	+13
16 Avgust	+17
15 Avgust	+5
14 Avgust	+24
13 Avgust	+39
12 Avgust	+8
11 Avgust	+23
10 Avgust	+19
09 Avgust	+1
08 Avgust	+36
07 Avgust	+11
06 Avgust	+49
05 Avgust	+26
04 Avgust	+3
03 Avgust	+20
02 Avgust	+11
01 Avgust	+13

Kanal postlari

100 AI ML projects for all levels

2	+5 100 AI ML projects for all levels	2 737
3	📱Artificial intelligence 📱A Content Marketer's Guide to Responsible AI	4 737
4	🔅 A Content Marketer's Guide to Responsible AI 📝 Learn to use AI responsibly in content marketing, balancing personalization, privacy, and ethical AI practices. 🌐 Author: Lauren Diethelm 🔰 Level: General ⏰ Duration: 23m 📋 Topics: Content Marketing, Artificial Intelligence for Business 🔗 Join Artificial intelligence for more courses	4 577
5	+1 AI Agents vs Agentic AI... what’s the actual difference? There are 3 types of AI workflows worth knowing and each performs a different task. If you don’t understand these you’re probably falling behind. Non-Agentic AI: Basic prompt-response AI with no memory/reasoning. They’re fast, cheap, and universally accessible, requires no technical build or integration and great for clear, one-off tasks. Agentic AI: Self-managing AI system that can plan and execute. Great for handling complex, changing projects. They can integrate with tools and databases and produce more reliable outcomes. AI Agent: A single-task AI worker designed to automate one task. Automates repetitive, time-consuming tasks, quick setup and cost-efficient and easy to test and refine within roles In short: AI Agents = Single-task automation Agentic AI = Multi-step problem solving	6 265
6	AI Concepts Explained	6 732
7	💡 Your Gateway to Exclusive Content 🔐 What is The Premium Vault? We are a private Telegram channel dedicated to delivering high-quality, premium content that you simply cannot find through ordinary searches, free platforms, or standard telegram channels. Every piece of content inside this vault is carefully collected, researched, and created exclusively for our members. 📦 What’s Inside? 1⃣ Tutorials, and resources across various premium sites 🔢 Movies, TV Shows and Documentaries 🔢 Premium Applications, fully featured, paid-tier software and productivity tools 〰️〰️〰️〰️〰️〰️〰️〰️〰️ 🚫 What You Won't Find Here: No recycled freebies. No low-effort posts. No clickbait. Everything inside The Premium Vault is original, valuable, or rare — shared only with our inner circle of premium subscribers. 🔗 https://t.me/ThePremiumVault/4	6 111
8	AI Engineer Roadmap	9 009
9	📱Artificial intelligence 📱Building Agentic AI Systems	10 014
10	🔅 Building Agentic AI Systems 📝 Gain the knowledge and practical skills required to design and develop an Agentic AI system. 🌐 Author: Rashim Mogha 🔰 Level: Intermediate ⏰ Duration: 1h 2m 📋 Topics: AI Software Development, AI Agents 🔗 Join Artificial intelligence for more courses	9 888
11	Most Data Scientists structure their projects wrong. Use this clean, production-ready layout👇 1️⃣ config/ – config files Separate params from code (local.yaml, prod.yaml) 2️⃣ data/ – full data lifecycle raw → preprocessed → features → predictions 3️⃣ entrypoint/ – main scripts train.py (pipeline) inference.py (batch/real-time) 4️⃣ notebooks/ – exploration only EDA, analysis — never production logic 5️⃣ src/ – core ML code feature engineering, training, inference (modular + testable) 6️⃣ tests/ – automated checks prevent silent failures 7️⃣ docker + env files – reproducibility same setup on any machine/CI 8️⃣ pinned dependencies – stability exact versions → consistent results	9 691
12	+1 4 stages of LLM Training	11 038
13	+6 Key Nodes in n8n Most people think AI automation is complex, but with n8n it comes down to just 7 building blocks. 1️⃣ Code Node → custom logic 2️⃣ HTTP Request → connect any API 3️⃣ Edit Fields → clean data 4️⃣ IF Node → conditional paths 5️⃣ Switch Node → handle multiple cases 6️⃣ Loop Over Items → process lists 7️⃣ Error Handling → keep workflows alive n8n makes it simple: drag, drop, connect.	13 306
14	📱Artificial intelligence 📱Hands-On AI: Building Your First LLM-Powered App	11 815
15	🔅 Hands-On AI: Building Your First LLM-Powered App 📝 Get started building apps powered by large language models (LLMs) in this hands-on, skills-based course for beginners. 🌐 Author: Han-chung Lee 🔰 Level: Beginner ⏰ Duration: 1h 14m 📋 Topics: AI Software Development, Large Language Models, Artificial Intelligence 🔗 Join Artificial intelligence for more courses	11 233
16	All major LLMs, one login: glbgpt.com GPT-5 · Claude · Gemini · Grok · DeepSeek. Crypto top-up (USDT), pay-as-you-go, no sub required. → https://tglink.io/ad3c29e3f95e5e	3 134
17	📕 The Ultimate Roadmap to master AI Agents	14 024
18	🔢 Stages of LLM Training Training a Large Language Model isn’t a single step—it’s a journey through multiple stages that shape how it understands, follows, and reasons. Here’s the progression: Stage 0 → A randomly initialized model, just noise with potential. Stage 1 → Pre-Training, where it absorbs patterns from massive text data. Stage 2 → Instruction Fine-Tuning, aligning it to follow human-written instructions. Stage 3 → Preference Fine-Tuning, refining it to generate responses people actually prefer. Stage 4 → Reasoning Fine-Tuning, pushing it to think more logically and solve complex problems. From raw parameters to advanced reasoning, each stage transforms the model into something smarter, more helpful, and more aligned with human goals.	13 197
19	🧠 Code with an AI agent — inside Telegram BrainDaemon is a private AI coding workspace (Mini App): • Cloud machine + real tools per chat • Build multi-file projects, not just paste snippets • Live reasoning while it works with you Open the Mini App and start building: 👉 https://t.me/BrainDaemonBot	2 153
20	🔢 Layers of LLM Stack	14 280

Barcha postlarni ko‘rish