现已上线！2025 年 Telegram 研究 — 年度关键洞察 
AI and Machine Learning
前往频道在 Telegram
Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more! Buy ads: https://telega.io/c/machine_learning_courses
显示更多📈 Telegram 频道 AI and Machine Learning 的分析概览
频道 AI and Machine Learning (@machine_learning_courses) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 94 073 名订阅者，在 教育 类别中位列第 1 556，并在 印度 地区排名第 3 013 位。
📊 受众指标与增长动态
自 невідомо 创建以来，项目保持高速增长，吸引了 94 073 名订阅者。
根据 25 六月, 2026 的最新数据，频道保持稳定运转。过去 30 天订阅人数变化为 981，过去 24 小时变化为 47，整体触达仍然可观。
- 认证状态： 未认证
- 互动率 (ER)： 平均受众互动率为 6.77%。内容发布后 24 小时内通常能获得 2.34% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 6 370 次浏览，首日通常累积 2 203 次浏览。
- 互动与反馈： 受众积极参与，单帖平均反应数为 9。
- 主题关注点： 内容集中在 learning, llm, linkedin, linux, udemy 等核心主题上。
📝 描述与内容策略
作者将该频道定位为表达主观观点的平台：
“Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more!
Buy ads: https://telega.io/c/machine_learning_courses”
凭借高频更新（最新数据采集于 26 六月, 2026），频道始终保持新鲜度与高覆盖。分析显示受众积极互动，使其成为 教育 类别中的关键影响点。
94 073
订阅者
+4724 小时
+1877 天
+98130 天
帖子存档
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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.
