🔅 Develop ML Models with Python and T-SQL

📝 Learn how to leverage Python to effectively build, train, test, and store your models in SQL Server databases.

📋 Topics: #MachineLearning, #Microsoft, #SQLServer, #SQL

🔖 26 lectures on Deep Learning for free 🧠✨

The material helps to go from a basic understanding to a confident DL base in just a few hours of viewing. 🚀📚

A good option for getting started with neural networks and Data Science. 🤖📊

⛓️ Watch the playlist 👇
https://www.youtube.com/playlist?list=PLgPbN3w-ia_PeT1_c5jiLW3RJdR7853b9

#DeepLearning #DataScience #NeuralNetworks #AI #MachineLearning #Tech

10 Best Advanced Machine Learning Courses You Must Know in 2026 🤖📚

Are you looking for the Best Advanced Machine Learning Courses?… If yes, then this article is for you. In this article, you will find the 10 Best Advanced Machine Learning Courses. 🧠💡

Link: https://www.mltut.com/best-advanced-machine-learning-courses/ 🔗

#MachineLearning #AI #DataScience #MLCourses #ArtificialIntelligence #TechLearning

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🚀 Create an LLM from Scratch!

I came across a great find from Vizuara — a series of 43 lectures that truly delivers on its promise: showing how to build a large language model from scratch. 🧠✨

Most people use ChatGPT.
But only a few actually understand how it works under the hood. ⚙️

This playlist step by step breaks down all the key concepts without overloading with complex explanations.

📚 What you will learn:
→ The architecture of Transformer 🏗️
→ The internal structure of GPT
→ Tokenization and BPE 🧩
→ Attention mechanisms 🔍
→ The process of training an LLM 📈
→ Full implementations in Python 🐍

✅ Suitable for:
• ML engineers
• AI enthusiasts
• Developers entering the GenAI field
• Anyone who is tired of explaining AI as a "black box" 🕵️

If you really want to understand what lies at the heart of models like ChatGPT, Claude, and Gemini — this material is worth watching. 👀

🔗 Link to the playlist:
https://www.youtube.com/playlist?list=PLPTV0NXA_ZSgsLAr8YCgCwhPIJNNtexWu

#LLM #AI #MachineLearning #Python #GenAI #DeepLearning

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A new collection of free courses has been added:

🔗 https://github.com/dair-ai/ML-Course-Notes

Those studying ML through dozens of random tabs and unclosed playlists may find this repository useful for organizing their learning. 📚

Machine Learning Course Notes is an open collection of notes on machine learning, NLP, and AI, compiled around full-fledged courses, not just individual videos. 🧠

What's inside:

• Courses from the Machine Learning Specialization, MIT 6.S191, CMU Neural Nets for NLP, CS224N, CS25, and others
• A table with lectures, descriptions, videos, notes, and authors
• Links to the original lectures and accompanying notes
• WIP markers for incomplete materials
• Instructions for contributors on adding and improving notes

The idea was appreciated. 👍

Instead of another collection of hundreds of links, a course map has been created where one can systematically go through the material without getting lost after a week of studying. 🗺️

#MachineLearning #AI #DataScience #TechCommunity #LearningResources #OpenSource

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🚀 Level up your AI & Data Science skills with HelloEncyclo — a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
✅ 13 courses live + 40+ coming soon
🎯 One access, lifetime updates
🔑 Use code: PRESALE-BOOK-WAVE-2GFG
👉 https://helloencyclo.com/?ref=HUSSEINSHEIKHO

From Jupyter Notebook to a production AI system.

Learning the API is the bridge between them.

I highly recommend this free playlist on backend development for ML engineers.

🔗 https://www.youtube.com/playlist?list=PL_c9BZzLwBRIHUNeoywVJXViXGEsk6PDr

#MachineLearning #BackendDev #AIEngineering #MLOps #DataScience #TechLearning

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🚀 Level up your AI & Data Science skills with HelloEncyclo — a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
✅ 13 courses live + 40+ coming soon
🎯 One access, lifetime updates
🔑 Use code: PRESALE-BOOK-WAVE-2GFG
👉 https://helloencyclo.com/?ref=HUSSEINSHEIKHO

Machine Learning 🤖

This comprehensive course covers the fundamentals and practical aspects of machine learning, including supervised and unsupervised learning, regression, classification, clustering, model evaluation, Binary trees, Decision trees and more. 🧠

🎬 Free Video Course
⏰ Duration: Multi-hour series (extensive coverage)
🏃‍♂️ Self Paced
👨‍🏫 Created by: Caleb Curry
🔗 Course Link
https://learndevs.com/watch/youtube/PL_c9BZzLwBRIPaKlO5huuWQdcM3iYqF2w

#MachineLearning #AI #DataScience #Learning #Tech #Code

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Google just dropped a 1-hour course on agentic engineering from scratch:

00:00 – How to build your first AI agent
08:24 – Build agent memory (short, persistent, long)
28:34 – Agentic loops, long-running AI agents
40:04 – How to build MCP (MCP vs API)
1:00:22 – Multi-agentic systems

This 1-hour watch will replace 10 paid agentic courses on the internet.
Bookmark this. Watch this weekend. 🚀🤖📚🔥💻🎯

#AIAgents #AgenticEngineering #MachineLearning #AI #TechNews #Coding

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As someone who reads every transformer paper that drops, this Fourier series lecture is the closest thing to a Google FNet explainer I've ever seen released for free.

Everyone thinks attention is what makes transformers powerful. Google replaced attention with a 200-year-old Fourier transform. It nearly matched BERT and ran 7x faster. ⚡️

25 minutes. Bookmark & watch today. Then read the article below - I broke down the 5 pieces of math the AI hype skips. 📚

#AI #Transformers #Fourier #Google #MachineLearning #Tech

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