π¨π»βπ» Real learning means implementing ideas and building prototypes. It's time to skip the repetitive training and get straight to real data science projects!
β
β
#DataScience #PythonProjects #MachineLearning #DeepLearning #AIProjects #RealWorldData #OpenSource #DataAnalysis #ProjectBasedLearning #LearnByBuilding
βοΈ Our Telegram channels: https://t.iss.one/addlist/0f6vfFbEMdAwODBkπ± Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
Please open Telegram to view this post
VIEW IN TELEGRAM
β€10π3π―1π1
The 2025 MIT deep learning course is excellent, covering neural networks, CNNs, RNNs, and LLMs. You build three projects for hands-on experience as part of the course. It is entirely free. Highly recommended for beginners.
Enroll Free: https://introtodeeplearning.com/
Enroll Free: https://introtodeeplearning.com/
#DeepLearning #MITCourse #NeuralNetworks #CNN #RNN #LLMs #AIForBeginners #FreeCourse #MachineLearning #IntroToDeepLearning #AIProjects #LearnAI #AI2025
βοΈ Our Telegram channels: https://t.iss.one/addlist/0f6vfFbEMdAwODBkπ± Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
Please open Telegram to view this post
VIEW IN TELEGRAM
β€9π1
Forwarded from Machine Learning
mcp guide.pdf.pdf
16.7 MB
A comprehensive PDF has been compiled that includes all MCP-related posts shared over the past six months.
(75 pages, 10+ projects & visual explainers)
Over the last half year, content has been published about the Modular Computation Protocol (MCP), which has gained significant interest and engagement from the AI community. In response to this enthusiasm, all tutorials have been gathered in one place, featuring:
* The fundamentals of MCP
* Explanations with visuals and code
* 11 hands-on projects for AI engineers
Projects included:
1. Build a 100% local MCP Client
2. MCP-powered Agentic RAG
3. MCP-powered Financial Analyst
4. MCP-powered Voice Agent
5. A Unified MCP Server
6. MCP-powered Shared Memory for Claude Desktop and Cursor
7. MCP-powered RAG over Complex Docs
8. MCP-powered Synthetic Data Generator
9. MCP-powered Deep Researcher
10. MCP-powered RAG over Videos
11. MCP-powered Audio Analysis Toolkit
(75 pages, 10+ projects & visual explainers)
Over the last half year, content has been published about the Modular Computation Protocol (MCP), which has gained significant interest and engagement from the AI community. In response to this enthusiasm, all tutorials have been gathered in one place, featuring:
* The fundamentals of MCP
* Explanations with visuals and code
* 11 hands-on projects for AI engineers
Projects included:
1. Build a 100% local MCP Client
2. MCP-powered Agentic RAG
3. MCP-powered Financial Analyst
4. MCP-powered Voice Agent
5. A Unified MCP Server
6. MCP-powered Shared Memory for Claude Desktop and Cursor
7. MCP-powered RAG over Complex Docs
8. MCP-powered Synthetic Data Generator
9. MCP-powered Deep Researcher
10. MCP-powered RAG over Videos
11. MCP-powered Audio Analysis Toolkit
#MCP #ModularComputationProtocol #AIProjects #DeepLearning #ArtificialIntelligence #RAG #VoiceAI #SyntheticData #AIAgents #AIResearch #TechWriting #OpenSourceAI #AI #python
βοΈ Our Telegram channels: https://t.iss.one/addlist/0f6vfFbEMdAwODBkπ± Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
Please open Telegram to view this post
VIEW IN TELEGRAM
β€14π¨βπ»2π1
Don't want to read about AI Engineering, but actually want to build something? π οΈ
We've released a collection of 50+ practical tutorials on AI Engineering as open source. π
Inside, you'll find step-by-step projects on:
β’ AI agents and multi-agent systems π€
β’ RAG (Agentic, Vision, and Local) π
β’ MCP agents βοΈ
β’ OCR applications π
β’ Voice AI agents ποΈ
β’ and much more β¨
Everything is free, with source code and ready-made examples. π₯©
https://github.com/Sumanth077/Hands-On-AI-Engineering
#AIEngineering #MachineLearning #OpenSource #AIProjects #TechTutorials #BuildWithAI
β¨ Join Best TG Channels https://t.iss.one/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
We've released a collection of 50+ practical tutorials on AI Engineering as open source. π
Inside, you'll find step-by-step projects on:
β’ AI agents and multi-agent systems π€
β’ RAG (Agentic, Vision, and Local) π
β’ MCP agents βοΈ
β’ OCR applications π
β’ Voice AI agents ποΈ
β’ and much more β¨
Everything is free, with source code and ready-made examples. π₯©
https://github.com/Sumanth077/Hands-On-AI-Engineering
#AIEngineering #MachineLearning #OpenSource #AIProjects #TechTutorials #BuildWithAI
β¨ Join Best TG Channels https://t.iss.one/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
GitHub
GitHub - Sumanth077/Hands-On-AI-Engineering: A curated collection of practical AI projects implementing OCR systems, RAG, AI agentsβ¦
A curated collection of practical AI projects implementing OCR systems, RAG, AI agents, and other AI use cases. - Sumanth077/Hands-On-AI-Engineering
β€4π2