¡Ya disponible! Investigación de Telegram 2025 — los principales insights del año 
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
Mostrar más📈 Análisis del canal de Telegram AI and Machine Learning
El canal AI and Machine Learning (@machine_learning_courses) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 94 073 suscriptores, ocupando la posición 1 556 en la categoría Educación y el puesto 3 013 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 94 073 suscriptores.
Según los últimos datos del 25 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 981, y en las últimas 24 horas de 47, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 6.77%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 2.34% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 6 370 visualizaciones. En el primer día suele acumular 2 203 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 9.
- Intereses temáticos: El contenido se centra en temas clave como learning, llm, linkedin, linux, udemy.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more!
Buy ads: https://telega.io/c/machine_learning_courses”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 26 junio, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Educación.
94 073
Suscriptores
+4724 horas
+1877 días
+98130 días
Archivo de publicaciones
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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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+9
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.
