Machine Learning – Telegram
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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📌 A Geometric Method to Spot Hallucinations Without an LLM Judge

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2026-01-17 | ⏱️ Read time: 7 min read

Imagine a flock of birds in flight. There’s no leader. No central command. Each bird…

#DataScience #AI #Python
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Best GitHub repositories to learn AI from scratch in 2026:


1. Andrej Karpathy
https://github.com/karpathy/nn-zero-to-hero

2. Hugging Face Transformers
https://github.com/huggingface/transformers

3. FastAI/fastbook
https://github.com/fastai/fastbook

4. Made-With-ML
https://github.com/GokuMohandas/Made-With-ML

5. ML System Design
https://github.com/chiphuyen/machine-learning-systems-design

6. Awesome Generative AI guide
https://github.com/aishwaryanr/awesome-generative-ai-guide

7. Dive into Deep Learning
https://github.com/d2l-ai/d2l-en

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📌 The Hidden Opportunity in AI Workflow Automation with n8n for Low-Tech Companies

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2026-01-18 | ⏱️ Read time: 14 min read

How to use n8n with multimodal AI and optimisation tools to help companies with low…

#DataScience #AI #Python
📌 Why Healthcare Leads in Knowledge Graphs

🗂 Category: DATA SCIENCE

🕒 Date: 2026-01-18 | ⏱️ Read time: 9 min read

How science, regulation, collaboration, and public funding shaped the world’s most mature semantic infrastructure

#DataScience #AI #Python
📌 Bridging the Gap Between Research and Readability with Marco Hening Tallarico

🗂 Category: AUTHOR SPOTLIGHTS

🕒 Date: 2026-01-19 | ⏱️ Read time: 6 min read

Diluting complex research, spotting silent data leaks, and why the best way to learn is…

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📌 Using Local LLMs to Discover High-Performance Algorithms

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2026-01-19 | ⏱️ Read time: 10 min read

How I used open-source models to explore new frontiers in efficient code generation, using my…

#DataScience #AI #Python
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📌 Time Series Isn’t Enough: How Graph Neural Networks Change Demand Forecasting

🗂 Category: DATA SCIENCE

🕒 Date: 2026-01-19 | ⏱️ Read time: 11 min read

Why modeling SKUs as a network reveals what traditional forecasts miss

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📌 You Probably Don’t Need a Vector Database for Your RAG — Yet

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2026-01-20 | ⏱️ Read time: 14 min read

Numpy or SciKit-Learn might meet all your retrieval needs

#DataScience #AI #Python
📌 Why Package Installs Are Slow (And How to Fix It)

🗂 Category: DATA ENGINEERING

🕒 Date: 2026-01-20 | ⏱️ Read time: 7 min read

How sharded indexing patterns solve a scaling problem in package management

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📌 Does Calendar-Based Time-Intelligence Change Custom Logic?

🗂 Category: DATA SCIENCE

🕒 Date: 2026-01-20 | ⏱️ Read time: 8 min read

Let’s look at calculating the moving average over time

#DataScience #AI #Python
📌 How to Perform Large Code Refactors in Cursor

🗂 Category: AGENTIC AI

🕒 Date: 2026-01-20 | ⏱️ Read time: 10 min read

Learn how to perform code refactoring with LLMs

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