Machine Learning
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Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications.

Admin: @HusseinSheikho || @Hussein_Sheikho
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πŸ“Œ Federated Learning, Part 1: The Basics of Training Models Where the Data Lives

πŸ—‚ Category: FEDERATED LEARNING

πŸ•’ Date: 2026-01-10 | ⏱️ Read time: 10 min read

Understanding the foundations of federated learning

#DataScience #AI #Python
πŸ“Œ Automatic Prompt Optimization for Multimodal Vision Agents: A Self-Driving Car Example

πŸ—‚ Category: AGENTIC AI

πŸ•’ Date: 2026-01-11 | ⏱️ Read time: 23 min read

Walkthrough using open-source prompt optimization algorithms in Python to improve the accuracy of an autonomous…

#DataScience #AI #Python
πŸ“Œ How to Leverage Slash Commands to Code Effectively

πŸ—‚ Category: LLM APPLICATIONS

πŸ•’ Date: 2026-01-11 | ⏱️ Read time: 8 min read

Learn how I utilize slash commands to be a more efficient engineer

#DataScience #AI #Python
πŸ“Œ How AI Can Become Your Personal Language Tutor

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2026-01-12 | ⏱️ Read time: 11 min read

How I used n8n to build AI study partners for learning Mandarin: vocabulary, listening, and…

#DataScience #AI #Python
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πŸ“Œ Why 90% Accuracy in Text-to-SQL is 100% Useless

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2026-01-12 | ⏱️ Read time: 9 min read

The eternal promise of self-service analytics

#DataScience #AI #Python
πŸ“Œ When Does Adding Fancy RAG Features Work?

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2026-01-12 | ⏱️ Read time: 23 min read

Looking at the performance of different pipelines

#DataScience #AI #Python