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

Індія3 013 Освіта1 556...

📈 Аналітичний огляд Telegram-каналу AI and Machine Learning

Канал AI and Machine Learning (@machine_learning_courses) у мовному сегменті Англійська є активним учасником. На даний момент спільнота об'єднує 94 073 підписників, посідаючи 1 556 місце в категорії Освіта та 3 013 місце у регіоні Індія.

📊 Показники аудиторії та динаміка

З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 94 073 підписників.

За останніми даними від 25 червня, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на 981, а за останні 24 години на 47, загальне охоплення залишається високим.

Статус верифікації: Не верифікований
Рівень залученості (ER): Середній показник залученості аудиторії становить 6.77%. Протягом перших 24 годин після публікації контент зазвичай збирає 2.34% реакцій від загальної кількості підписників.
Охоплення публікацій: В середньому кожен допис отримує 6 370 переглядів. Протягом першої доби публікація в середньому набирає 2 203 переглядів.
Реакції та взаємодія: Аудиторія активно підтримує контент: середня кількість реакцій на один пост – 9.
Тематичні інтереси: Контент зосереджений навколо ключових тем, таких як learning, llm, linkedin, linux, udemy.

📝 Опис та контентна політика

Автор описує ресурс як майданчик для висловлення суб'єктивної думки:
“Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more! Buy ads: https://telega.io/c/machine_learning_courses”

Завдяки високій частоті оновлень (останні дані отримано 26 червня, 2026), канал підтримує актуальність та високий рівень охоплення публікацій. Аналітика показує, що аудиторія активно взаємодіє з контентом, що робить його важливою точкою впливу в категорії Освіта.

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Підписники

+4724 години

+1877 днів

+98130 день

6 370

Перегляди допису

~ 2 20324 години

~ 2 91648 годин

6.77%

Коефіцієнт залучення

~ 1

Дописів на день

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Архів дописів

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06. Application Using Agents for Stock Analysis - Part 01

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05. AutoGen Chat Structures - Part 01

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04. LLM Agents Implementation Continued - Part 01

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03. [Optional] Running Open Source LLMs Locally (Free) instead of OpenAI's ChatGPT - Part 01

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02. LLM Agents Implementation (with OpenAI's ChatGPT) - Part 01

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01. Intro to LLM Agents - 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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🔗 Machine Learning Cheatsheet

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🔗 Machine Learning Cheatsheet

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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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🔗 Master 8 Essential Machine Learning Algorithms

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🔗 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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📱Artificial intelligence 📱Computer Vision on the Raspberry Pi 4

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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.