AI and Machine Learning
Open in 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
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 95 282 subscribers, ranking 1 507 in the Education category and 2 936 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 95 282 subscribers.
According to the latest data from 03 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 392 over the last 30 days and by 32 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 7.64%. Within the first 24 hours after publication, content typically collects 2.40% reactions from the total number of subscribers.
- Post reach: On average, each post receives 7 276 views. Within the first day, a publication typically gains 2 290 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 18.
- 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 04 September, 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.
95 282
Subscribers
+3224 hours
+1087 days
+39230 days
Posts Archive
95 294
+6
Key Nodes in n8n
Most people think AI automation is complex, but with n8n it comes down to just 7 building blocks.1️⃣ Code Node → custom logic 2️⃣ HTTP Request → connect any API 3️⃣ Edit Fields → clean data 4️⃣ IF Node → conditional paths 5️⃣ Switch Node → handle multiple cases 6️⃣ Loop Over Items → process lists 7️⃣ Error Handling → keep workflows alive n8n makes it simple: drag, drop, connect.
95 294
🔅 Hands-On AI: Building Your First LLM-Powered App
📝 Get started building apps powered by large language models (LLMs) in this hands-on, skills-based course for beginners.
🌐 Author: Han-chung Lee
🔰 Level: Beginner
⏰ Duration: 1h 14m
📋 Topics: AI Software Development, Large Language Models, Artificial Intelligence
🔗 Join Artificial intelligence for more courses
95 294
All major LLMs, one login: glbgpt.com
GPT-5 · Claude · Gemini · Grok · DeepSeek. Crypto top-up (USDT), pay-as-you-go, no sub required.
→ https://tglink.io/ad3c29e3f95e5e
95 294
🔢 Stages of LLM Training
Training a Large Language Model isn’t a single step—it’s a journey through multiple stages that shape how it understands, follows, and reasons.
Here’s the progression:
Stage 0 → A randomly initialized model, just noise with potential.
Stage 1 → Pre-Training, where it absorbs patterns from massive text data.
Stage 2 → Instruction Fine-Tuning, aligning it to follow human-written instructions.
Stage 3 → Preference Fine-Tuning, refining it to generate responses people actually prefer.
Stage 4 → Reasoning Fine-Tuning, pushing it to think more logically and solve complex problems.
From raw parameters to advanced reasoning, each stage transforms the model into something smarter, more helpful, and more aligned with human goals.
95 294
🧠 Code with an AI agent — inside Telegram
BrainDaemon is a private AI coding workspace (Mini App):
• Cloud machine + real tools per chat
• Build multi-file projects, not just paste snippets
• Live reasoning while it works with you
Open the Mini App and start building:
👉 https://t.me/BrainDaemonBot
95 294
📱Artificial intelligence
📱Mastering Reasoning Models: Algorithms, Optimization, and Applications
95 294
🔅 Mastering Reasoning Models: Algorithms, Optimization, and Applications
📝 Learn how to build and optimize reasoning-specialized LLMs through mastery of test-time compute scaling and GRPO.
🌐 Author: Nayan Saxena
🔰 Level: Advanced
⏰ Duration: 1h 20m
📋 Topics: Large Language Models, Artificial Intelligence
🔗 Join Artificial intelligence for more courses
95 294
💡 Your Gateway to Exclusive Content
🔐 What is The Premium Vault?
We are a private Telegram channel dedicated to delivering high-quality, premium content that you simply cannot find through ordinary searches, free platforms, or standard telegram channels. Every piece of content inside this vault is carefully collected, researched, and created exclusively for our members.📦 What’s Inside? 1⃣ Tutorials, and resources across various premium sites 🔢 Movies, TV Shows and Documentaries 🔢 Premium Applications, fully featured, paid-tier software and productivity tools 〰️〰️〰️〰️〰️〰️〰️〰️〰️ 🚫 What You Won't Find Here: No recycled freebies. No low-effort posts. No clickbait. Everything inside The Premium Vault is original, valuable, or rare — shared only with our inner circle of premium subscribers. 🔗 https://t.me/ThePremiumVault/4
95 294
If you're building AI agents, you should get familiar with these 3 common agent/workflow patterns.
Let's break it down.
🔹 Reflection
You give the agent an input.
The agent then "reflects" on its output, and based on feedback, improves and refines.
Ideal tools to use:
- Base model (e.g. GPT-4o)
- Fine-tuned model (to give feedback)
- n8n to set up the agent.
🔹 RAG-based
You give the agent a task.
The agent has the ability to query an external knowledge base to retrieve specific information needed.
Ideal tools to use:
- Vector Database (e.g. Pinecone).
- UI-based RAG (Aidbase is the #1 tool).
- API-based RAG (SourceSync is a new player on the market, highly promising).
🔹 AI Workflow
This is a "traditional" automation workflow that uses AI to carry out subtasks as part of the flow.
Ideal tools to use:
- n8n to handle the workflow.
- GPT-4o, Claude, or other models that can be accessed through API (basic HTTP requests).
If you can master these 3 patterns well, you can solve a very broad range of different problems.
95 294
📄 ColQwen2: document search considering visual layout
ColQwen2 is a modified version of the ColPali model designed to search documents by their visual features, not just by text.
🔧 How it works:
• Each page is processed as an image
• Qwen2-VL is used to extract not only text but also tables, charts, layout
• Multivector embeddings are created
• Search is based on comparing these vectors (late interaction)
📌 Why this is needed:
This approach helps to find the right documents more accurately — especially if they contain complex structure, tables, or non-standard format.
Suitable for:
– PDF files
– Scanned documents
– Presentations and reports with visual elements
https://huggingface.co/docs/transformers/main/en/model_doc/colqwen2
95 294
🔅 Build with AI: Advanced Production-Ready Gradio Applications
📝 Build advanced, production-ready AI apps with Gradio, LangChain, Docker, and cloud deployment.
🌐 Author: Deepak Goyal
🔰 Level: Advanced
⏰ Duration: 1h 19m
📋 Topics: Artificial Intelligence, Application Development
🔗 Join Artificial intelligence for more courses
95 294
🚀 Top AI Algorithms & Their Use-Cases
A quick reference to essential AI algorithms and how they’re applied in real projects:
Supervised Learning
- Linear Regression: Predicting house prices based on features
- Logistic Regression: Spam email classification
- Decision Trees: Customer churn prediction
- Random Forest: Stock price prediction
- Gradient Boosting: Credit scoring for loan approval
- K-Nearest Neighbors (KNN): Movie recommendation systems
- Naive Bayes: Text classification (e.g., spam or not)
- Support Vector Machines (SVM): Handwriting recognition in digit datasets
Unsupervised Learning
- K-Means Clustering: Customer segmentation for marketing
- Principal Component Analysis (PCA): Image compression
- Gaussian Mixture Model (GMM): Anomaly detection in network security
- Association Rule Learning: Market basket analysis in retail
Deep Learning & Neural Networks
- Neural Networks: Facial recognition
- Recurrent Neural Networks (RNN): Sentiment analysis in text
- Long Short-Term Memory (LSTM): Stock market prediction
- Word Embeddings: Improving search engine relevance
Optimization & Other Techniques
- Genetic Algorithms: Optimize supply chain logistics
- Ant Colony Optimization: Solving traveling salesman problem
- Reinforcement Learning: Game playing (e.g., AlphaGo)
- Natural Language Processing (NLP): Chatbots for customer support
Each algorithm has unique strengths that power solutions across industries from finance and marketing to security and entertainment.
95 294
Uncensored AI is here
Tired of another "I can't help you with that" from your AI?
OpenChat is an uncensored AI bot inside Telegram that answers anything you ask. Yes – absolutely anything.
It takes on the real tasks other AIs refuse: sketchy advice, a spicy story, a shady idea, a straight how-to. It also reads any photo or voice note you send. Fully private.
Try it free: t.me/theopenchat_bot
95 294
🔅 PREMIUM CHANNELS
-◦-◦--◦--◦-◦--◦--◦-◦--◦--◦-◦--◦-
🔰 Web Development
-◦-◦--◦--◦-◦--◦--◦-◦--
217k| 🔰 Linkedin Learning
144k| 🔰 Zero To Mastery
133k| 🔰 Web Development
-◦-◦--◦-
124k| 🔰 Learn Python 3
097k| 🔰 Learn JavaScript
094k| 🔰 Machine Learning
-◦-◦--◦-
071k| 🔰 Artificial Intelligence
070k| 🔰 Data Analysis and Databases
066k| 🔰 Linux and DevOps
-◦-◦--◦-
063k| 🔰 React and NextJs
050k| 🔰 Business and Finance
050k| 🔰 100 Days of Python
-◦-◦--◦-
049k| 🔰 AI Tools
042k| 🔰 Best Telegram Channels
042k| 🔰 Udemy Learning
-◦-◦--◦-
040k| 🔰 ZTM Courses
040k| 🔰 Mobile Apps
035k| 🔰 Linkedin Learning Courses
-◦-◦--◦-
034k| 🔰 Soft Skills
034k| 🔰 Codedamn Courses
030k| 🔰 Coding Interview
-◦-◦--◦-
030k| 🔰 Crypto Tutorials
024k| 🔰 The Coding Space
-◦-◦--◦--◦-◦--◦--◦-◦--
🔰 Add Your Channel
-◦-◦--◦--◦-◦--◦--◦-◦--◦--◦-◦--◦-
🔰 2hrs on top & 8hrs in channel!
