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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
Больше📈 Аналитический обзор Telegram-канала AI and Machine Learning
Канал AI and Machine Learning (@machine_learning_courses) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 94 073 подписчиков, занимая 1 556 место в категории Образование и 3 013 место в регионе Индия.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 94 073 подписчиков.
Согласно последним данным от 25 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 981, а за последние 24 часа — 47, при этом общий охват остаётся высоким.
- Статус верификации: Не верифицирован
- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 6.77%. В первые 24 часа после публикации контент обычно набирает 2.34% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 6 370 просмотров. В течение первых суток публикация набирает 2 203 просмотров.
- Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 9.
- Тематические интересы: Контент сосредоточен на ключевых темах, таких как learning, llm, linkedin, linux, udemy.
📝 Описание и контентная политика
Автор описывает ресурс как площадку для выражения субъективного мнения:
“Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more!
Buy ads: https://telega.io/c/machine_learning_courses”
Благодаря высокой частоте обновлений (последние данные получены 26 июня, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Образование.
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Подписчики
+4724 часа
+1877 дней
+98130 день
Архив постов
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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.
