Machine Learning with Python
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Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.

Admin: @HusseinSheikho || @Hussein_Sheikho
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Join our livestream with Marina Wyss, Senior Applied Scientist at Twitch, as we discuss how to break into AI Engineering in 2026.

Sign up for FREE and save your seat here: luma.com/qgz4g4r7

Why should you join?

Many people interested in AI Engineering are asking the same questions:

❓ Where do I start?
πŸ€” Do I need deep math first?
🧠 Should I focus on ML, LLMs, RAG, or AI agents?
🧭 How do I avoid wasting time learning the wrong things?
πŸš€ How do I go from learning to becoming hireable?

If you’re interested in AI Engineering but unsure how to approach it, this livestream is for you.

What you’ll learn

✦ What AI Engineering really is
✦ Where beginners should start
✦ What skills and topics actually matter
✦ Common mistakes to avoid
✦ Self-study vs bootcamp vs MSc
✦ How to think about becoming hireable in AI
✦ Practical advice from someone already working in the field

Sign up for FREE and save your seat: luma.com/qgz4g4r7
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5 Fun Papers That Explain LLMs Clearly πŸ“šβœ¨

Want to understand LLMs better? Start with these five foundational papers that explain how they work. πŸ€–

Large language models (LLMs) can feel complicated at first. There are transformers, attention layers, scaling laws, pretraining, instruction tuning, human feedback, retrieval, and many other ideas around them. 🧠 But the best way to understand large language models is not to start with a huge textbook. A better way is to read a few important papers that each explain one major part of the system. πŸ“„ This article is part of a fun series where we learn by exploring core ideas, practical projects, and the research papers behind modern technology. πŸ”¬ In this article, we will go through five papers that explain how LLMs work. So, let's get started. πŸš€

More: https://www.kdnuggets.com/5-fun-papers-that-explain-llms-clearly

#LLM #AI #MachineLearning #DeepLearning #DataScience #Tech

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πŸš€ 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.
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Introduction to Critical Infrastructure Protection (ICIP) πŸ›‘οΈ

Your CIP Cybersecurity Career Path πŸš€
Learn about Cybersecurity in Critical Infrastructure Protection (CIP) πŸ”

Explore our learning paths and philosophy πŸ’‘

Get certified - Free πŸŽ“

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#Cybersecurity #CIP #CriticalInfrastructure #CareerPath #FreeCertification #LearnTech

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⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

πŸš€ 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.
βœ… 13 courses live + 40+ coming soon
🎯 One access, lifetime updates
πŸ”‘ Use code: PRESALE-BOOK-WAVE-2GFG
πŸ‘‰ https://helloencyclo.com/?ref=HUSSEINSHEIKHO
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GRU β†’ remembers efficiently
GAN β†’ creates realistic content
RNN β†’ understands sequences
LSTM β†’ remembers long context

https://t.me/CodeProgrammer πŸ”‘
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Forwarded from Machine Learning
If you already have 200 open tabs with courses, articles, and GitHub repositories on ML, this repository might save the situation a bit. πŸ˜…

Awesome Machine Learning Resources is a huge collection of sub-collections on machine learning, deep learning, and AI. πŸ€–

Instead of endless Google searches, everything is organized into categories:

β€’ fundamentals of machine learning
β€’ neural networks and modern architectures
β€’ tasks and application areas
β€’ datasets
β€’ libraries and tools
β€’ fairness and AI ethics
β€’ production ML and MLOps

Each link has a short description, so you can quickly understand whether it's worth opening it or skipping it. πŸ“

I particularly liked that the authors mark abandoned collections with an icon if they haven't been updated in over a year. ⚠️

https://github.com/ZhiningLiu1998/awesome-machine-learning-resources

#MachineLearning #DeepLearning #AI #MLOps #DataScience #TechResources

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⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

πŸš€ 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.
βœ… 13 courses live + 40+ coming soon
🎯 One access, lifetime updates
πŸ”‘ Use code: PRESALE-BOOK-WAVE-2GFG
πŸ‘‰ https://helloencyclo.com/?ref=HUSSEINSHEIKHO
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Forwarded from Vinayak Chiluka
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Don't want to read about AI Engineering, but actually want to build something? πŸ› οΈ

We've released a collection of 50+ practical tutorials on AI Engineering as open source. πŸ“š

Inside, you'll find step-by-step projects on:

β€’ AI agents and multi-agent systems πŸ€–
β€’ RAG (Agentic, Vision, and Local) πŸ”
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β€’ OCR applications πŸ“„
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β€’ and much more ✨

Everything is free, with source code and ready-made examples. πŸ₯©

https://github.com/Sumanth077/Hands-On-AI-Engineering

#AIEngineering #MachineLearning #OpenSource #AIProjects #TechTutorials #BuildWithAI

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πŸš€ 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.
βœ… 13 courses live + 40+ coming soon
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πŸ”‘ Use code: PRESALE-BOOK-WAVE-2GFG
πŸ‘‰ https://helloencyclo.com/?ref=HUSSEINSHEIKHO
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Agentic_Design_Patterns.pdf
19.2 MB
Agentic Design Patterns - a free 421-page document from a senior Google engineer. πŸ“„βœ¨

It's rare to find materials of such a large volume where the author doesn't try to sell a course after every chapter. πŸ’‘

Inside:

⬩ agent architectures
⬩ multi-agent systems
⬩ memory and context management
⬩ orchestration and task planning
⬩ tools, MCP, and integrations
⬩ production cases and code examples

#AgenticAI #LLM #GoogleEngineering #MultiAgentSystems #AIDevelopment #TechDocs

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1❀7πŸ‘2πŸ‘2
Kaggle and Google are launching a free 5-day intensive course on VibeCoding. πŸš€

Over five days, they will explain how agent-based coding works, how to configure skills, memory, and context, and how to make AI assistants not only useful but also safe. πŸ€– The program includes daily tasks, live streams, discussions, and practical projects. πŸ’»

After completion, participants will receive an official certificate that can be added to their portfolio. πŸ“œ

Start date: June 15th. πŸ“…

https://www.kaggle.com/competitions/5-day-ai-agents-intensive-vibecoding-course-with-google πŸ”—

If you've long wanted to properly understand agent-based coding, this is a great opportunity to dive in. 🌊

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⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

πŸš€ 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.
βœ… 13 courses live + 40+ coming soon
🎯 One access, lifetime updates
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❀3
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