🔅 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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