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 94 073 obunachidan iborat bo'lib, Taʼlim toifasida 1 556-o'rinni va Hindiston mintaqasida 3 013-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 94 073 obunachiga ega bo‘ldi.
25 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 981 ga, so‘nggi 24 soatda esa 47 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 6.77% 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 6 370 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 26 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.
94 073
Obunachilar
+4724 soatlar
+1877 kunlar
+98130 kunlar
Postlar arxiv
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03. [Optional] Running Open Source LLMs Locally (Free) instead of OpenAI's ChatGPT - Part 01
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🔰 AI Agents: Building Teams of LLM Agents that Work For You
🌟 4.6 - 400 votes 💰 Original Price: $43.99
📖 AutoGen, ChatGPT API, Streamlit, Google Cloud, build and deploy LLM AI Agents based apps (locally or at scale)🔊 Taught By: Mohsen Hassan, Ilyass Tabiai, PhD 📤 Download Full Course 📤 Download All Courses
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Want to become an Agent AI Expert in 2025?
🤩AI isn’t just evolving—it’s transforming industries. And agentic AI is leading the charge!
Here’s your 6-step guide to mastering it:
1️⃣ Master AI Fundamentals – Python, TensorFlow & PyTorch 📊
2️⃣ Understand Agentic Systems – Learn reinforcement learning 🧠
3️⃣ Get Hands-On with Projects – OpenAI Gym & Rasa 🔍
4️⃣ Learn Prompt Engineering – Tools like ChatGPT & LangChain ⚙️
5️⃣ Stay Updated – Follow Arxiv, GitHub & AI newsletters 📰
6️⃣ Join AI Communities – Engage in forums like Reddit & Discord 🌐
🎯 AI Agent is all about creating intelligent systems that can make decisions autonomously—perfect for businesses aiming to scale with minimal human intervention.
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🚀 Here’s your step-by-step guide! From simple coding to hands-on projects and expert topics.
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📁 AI to revolutionize wealth management — Banks face new competition
Microsoft’s Martin Moeller says AI is shaking up wealth management, making banks sweat as startups move in. With firms like Klarna already replacing staff with AI and UBS seeing big productivity gains, the future looks automated.
Young investors want 24/7 AI advisors, and self-thinking “agentic AI” could be here in 2 years. Who needs a banker when your robo-advisor never sleeps?
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🇺🇸 AI schools are here — And they’re changing education
Unbound Academy, an AI-driven virtual school, is launching in Arizona, offering personalized, adaptive learning without traditional teachers. Instead, AI tailors lessons in real-time, tracking student progress and emotional cues to optimize learning speed.
Unbound claims its model leads to 2.4x faster mastery than traditional classrooms, giving students customized education at their own pace. A small team of human “guides” provides support when needed.
Could AI be the key to fixing outdated, one-size-fits-all education?
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🔅 Elon unveils Grok 3 with epic lore verse — "One mind to rule them all"
Elon just introduced Grok 3 with a legendary twist—a verse in the style of Tolkien’s Ring Poem.
3 minds for Search-Kings, 7 for Agents, 9 for Memory-Weavers… and One to rule them all.
Elon is forging the future of AI with search, agency, memory, and humor—uniting them in one powerful system.
This isn’t just an upgrade. This is the AI legend in the making.
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🔗 AI creates enzyme that breaks down plastic — A big Step for waste solutions
Researchers used AI tools RFDiffusion and PLACER to design an enzyme capable of breaking down PET plastic by targeting ester bonds.
Through multiple AI-guided iterations, scientists developed an enzyme that mimics natural ones—capable of digesting plastic in repeated cycles. This breakthrough could revolutionize plastic waste management, offering a potential AI-driven solution to pollution.
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+3
🔗 Master 8 Essential Machine Learning Algorithms
To truly master these foundational algorithms
It's crucial to dive deeper into their real-world applications and understand how AI is shaping the future.That's where "The Most Effective Guide to Master AI" comes in! This comprehensive guide covers everything you need to know: - Real-world AI applications - Computer Vision - Generative Models - Essential AI tools
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MASTER GENERATIVE AI IN 126 DAYS
Boost your career with a comprehensive end-to-end Generative AI course covering LangChain, OpenAI, and more – perfect for beginners and advanced learners alike
What’s Inside?
126 Hands-On Video Tutorials (One per day to build your skills steadily)
Practical Source Code for every module
Complete Coverage: Basics to Advanced Topics in GenAI Projects & Real-World Demos to sharpen your expertise
Why Choose This Course?
Learn-by-Doing: Every concept comes with practical examples.
Cutting-Edge Curriculum: Stay ahead in the rapidly evolving AI industryFlexible & Affordable.
Study at your own pace, anytime, anywhere
Pricing
International Students: US $20 – BUY NOW BUY NOW
Indian Students: UPI LINK UPI LINK
If You are using upi dm me with payment screenshot for video links , for paypal you will get the links automatically after purchase DM HERE
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📂 Full description
More and more applications are using computer vision to detect and recognize objects. These applications usually execute on large computers, but developers can save money and power by running them on single-board computers (SBCs). The Raspberry Pi 4 is one of the most popular SBCs available. It's also the first computer in the Raspberry Pi family powerful enough to execute computer vision applications. Also, the software needed to build these applications can be downloaded freely from the Internet. In this course, instructor Matt Scarpino shows programmers how to write and execute computer vision applications on the Raspberry Pi 4. Matt introduces you to using the Thonny IDE, the OpenCV library, and NumPy array operations. He steps through object detection and neural networks, then explores convolutional neural networks (CNNs), including the Keras package and the TensorFlow package. Matt also walks you through what you can do with a Raspberry Pi HQ camera.
