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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
Show more📈 Analytical overview of Telegram channel AI and Machine Learning
Channel AI and Machine Learning (@machine_learning_courses) in the English language segment is an active participant. Currently, the community unites 94 085 subscribers, ranking 1 556 in the Education category and 3 013 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 94 085 subscribers.
According to the latest data from 25 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 981 over the last 30 days and by 47 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 6.77%. Within the first 24 hours after publication, content typically collects 2.34% reactions from the total number of subscribers.
- Post reach: On average, each post receives 6 370 views. Within the first day, a publication typically gains 2 203 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 9.
- Thematic interests: Content is focused on key topics such as learning, llm, linkedin, linux, udemy.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more!
Buy ads: https://telega.io/c/machine_learning_courses”
Thanks to the high frequency of updates (latest data received on 26 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.
94 085
Subscribers
+4724 hours
+1877 days
+98130 days
Posts Archive
94 085
🔗 Creating Your AI For Business Roadmap: A Step-by-Step Guide
Identify Business Objectives: Understand how AI can help achieve your goals, whether it's through automation, predictive analytics, AI chatbots, or innovative product development.
Evaluate Data Infrastructure: AI needs quality data. Assess your data collection, storage, and cleanliness to ensure your AI initiatives can thrive.
Assemble a Skilled Team: Combine business insight, technical skills, and data science. Include business strategists, AI specialists, and IT professionals, or seek external expertise as necessary.
Choose Appropriate AI Technology: Select AI tools like ML, NLP, RPA, or Computer Vision, aligned with your business needs.
Prototype Development: Start small with a pilot project to address specific challenges, refining AI models based on performance.
Scale and Optimize: Expand successful prototypes, integrating them into broader business operations and continuously optimizing.
Implement Change Management: Develop strategies to assist your workforce in adapting to AI, including training and understanding AI benefits.
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📂 Full description
It seems like new artificial intelligence tools are arriving every day, and even if youre interested in using AI in your work, figuring out where to start may seem like an overwhelming undertaking. In this course, Drew Falkman shows designers the ways that AI can help you to build designs faster, make your designs smarter and better, and even improve your dev handoff. Drew surveys the current tools like Figma, Magician, and Sprout, and details their strengths and weaknesses. He also looks at some full-featured design suites that can help you get to prototypes quickly, like Wondershare Mockitt, Visily, and Uizard. He explains how you can use these tools to go from paper sketch or screenshot to wireframe in seconds, or use a prompt to generate an entire prototype. Finally, he shows you how you can use AI to automate the process of turning your designs into code.
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🔅 Design to Code: Using AI to Build Faster
🌐 Author: Drew Falkman
🔰 Level: Intermediate
⏰ Duration: 1h 21m
🌀 Learn about the artificial intelligence tools that can improve and speed up your design process.📗 Topics: Artificial Intelligence for Design, Software Development, Artificial Intelligence 📤 Join Artificial intelligence for more courses
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How do you plan your events?
Now you can schedule and share meetings directly in Telegram — with the new app tCalendar.
Whether it’s work or organising your social life — tCalendar keeps everything in one smart, flexible space.
🗓️ Feed — All your events in one clean timeline. Just send an invite in chat or add people directly to the event.
👥Stacks — shared calendars for groups. Create a Stack to organise events in one place and invite others to join.
📅 Slots — your personal booking link. Let people book time with you — for meetings, services, or casual catch-ups.
✨ AI — send a message to the bot, and AI will automatically organize an event for you.
Try tCalendar now — it’s free! 👌
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🔗 What is an AI Agent?
An AI agent is a software program that can interact with its environment, gather data, and use that data to achieve predetermined goals. AI agents can choose the best actions to perform to meet those goals.Key characteristics of AI agents are as follows: An agent can perform autonomous actions without constant human intervention. Also, they can have a human in the loop to maintain control. - Agents have a memory to store individual preferences and allow for personalization. It can also store knowledge. An LLM can undertake information processing and decision-making functions. - Agents must be able to perceive and process the information available from their environment. - Agents can also use tools such as accessing the internet, using code interpreters and making API calls. - Agents can also collaborate with other agents or humans.
Multiple types of AI agents are available such as learning agents, simple reflex agents, model-based reflex agents, goal-based agents, and utility-based agents.A system with AI agents can be built with different architectural approaches. 1 - Single Agent: Agents can serve as personal assistants. 2 - Multi-Agent: Agents can interact with each other in collaborative or competitive ways. 3 - Human Machine: Agents can interact with humans to execute tasks more efficiently.
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📚 Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
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Intent | AI-Enhanced Telegram
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🟣 Confused by your lab test results? You’re not alone — but now, there’s a smarter way to take charge of your health.
✨ Meet @LabsHouseAiBot – your personal AI assistant for clear, reliable explanations of your blood tests.
🟣 Just enter your results, and in minutes you’ll get easy-to-understand insights on key markers like cholesterol, glucose, and more.
💡 Way better than basic ChatGPT — it’s built specifically for the interpretation of your medical results!
👉 Try it now: @LabsHouseAiBot — your health transformation starts today! 🚀
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🔅 PREMIUM CHANNELS
-◦-◦--◦--◦-◦--◦--◦-◦--◦--◦-◦--◦-
🔰 The Coding Space
-◦-◦--◦--◦-◦--◦--◦-◦--
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-◦-◦--◦-
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078k| 🔰 Machine Learning
-◦-◦--◦-
064k| 🔰 DevOps Tutorials
060k| 🔰 Learn React and NextJs
059k| 🔰 Data Analysis and Databases
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052k| 🔰 Linux and DevOps
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032k| 🔰 Linkedin Learning
031k| 🔰 React 101
030k| 🔰 Crypto Lessons
-◦-◦--◦-
027k| 🔰 Coding Interview
023k| 🔰 Telegram's Shorts
-◦-◦--◦--◦-◦--◦--◦-◦--
🔰 Add Your Channel
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🔰 2hrs on top & 8hrs in channel!
94 085
Call for papers on AI to AI Journey* conference journal has started!
Prize for the best scientific paper - over $12'000!
Selected papers will be published in the scientific journal Doklady Mathematics.
📖 The journal:
- Indexed in the largest bibliographic databases of scientific citations
- Accessible to an international audience and published in the world’s digital libraries.
Submit your article by August 20 and get the opportunity not only to publish your research the scientific journal, but also to present it at the AI Journey conference.
More detailed information can be found in the Selection Rules -> AI Journey
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🔗 Most ML roadmaps
If you’re tired of bloated diagrams and endless theory, this one’s for you.This is the 10-step roadmap I wish someone gave me earlier focused on real-world impact, not just flashy model builds. Swipe through to see: ✅ The core skills you actually need ✅ What separates you from junior talent ✅ What most self-taught engineers skip Whether you’re transitioning from data analyst, coming from software dev, or just trying to stop tutorial-hopping...
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Our world will soon change forever! Are you ready? Read the Manifesto https://aism.faith to understand the future ahead, subscribe to the channel: https://t.me/aism
