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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📌 Graph RAG into Production – step-by-step

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-09-23 | ⏱️ Read time: 17 min read

A GCP native, fully serverless implementation that you will replicate in minutes
📌 Breaking It Down : Chunking Techniques for Better RAG

🗂 Category:

🕒 Date: 2024-09-23 | ⏱️ Read time: 19 min read

Mastering chunking for efficient retrieval in RAG systems
📌 Programming an Arduino with CrewAI Agents

🗂 Category: PROGRAMMING

🕒 Date: 2024-09-23 | ⏱️ Read time: 7 min read

An interaction between electronics and LLMs
📌 Embeddings Are Kind of Shallow

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2024-09-23 | ⏱️ Read time: 33 min read

What I learned doing semantic search on U.S. Presidents with four language model embeddings
📌 Build Your Agents from Scratch

🗂 Category:

🕒 Date: 2024-09-23 | ⏱️ Read time: 8 min read

Design your own agents without any framework
📌 Data Empowers Business

🗂 Category: DATA ENGINEERING

🕒 Date: 2024-09-22 | ⏱️ Read time: 10 min read

Exploiting the full potential of universal data supply
📌 How I Deal with Hallucinations at an AI Startup

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-09-22 | ⏱️ Read time: 8 min read

And the difference between weak vs strong grounding
📌 Hands-On Numerical Derivative with Python, from Zero to Hero

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-22 | ⏱️ Read time: 10 min read

Here’s everything you need to know (beyond the standard definition) to master the numerical derivative…
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This channels is for Programmers, Coders, Software Engineers.

0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣ Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
7️⃣ Deep Learning
8️⃣ programming Languages

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📌 Beyond ROC-AUC and KS: The Gini Coefficient, Explained Simply

🗂 Category: DATA SCIENCE

🕒 Date: 2025-09-30 | ⏱️ Read time: 7 min read

Understanding Gini and Lorenz curves for smarter model evaluation
📌 Actual Intelligence in the Age of AI

🗂 Category: AUTHOR SPOTLIGHTS

🕒 Date: 2025-09-30 | ⏱️ Read time: 11 min read

Jarom Hulet on mastering fundamentals, hiring well, and deciding what to write about next
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📌 How to Build Effective Agentic Systems with LangGraph

🗂 Category: AGENTIC AI

🕒 Date: 2025-09-30 | ⏱️ Read time: 12 min read

Create AI workflows with agentic frameworks
📌 The Machine Learning Lessons I’ve Learned This Month

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-09-30 | ⏱️ Read time: 7 min read

September 2025: library or self-made, Ditto and Launchbar, reading widely and deeply
📌 Proxy SHAP: Speed Up Explainability with Simpler Models

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-21 | ⏱️ Read time: 7 min read

A Practical Guide to Efficient SHAP Computation
📌 An Intuitive Guide to Integrate SQL and Python for Data Science

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-21 | ⏱️ Read time: 11 min read

Learn to master MySQL connector, a Python library that enables to interact with MYSQL database
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📌 A Basic Introduction to Quantum GANs

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-09-21 | ⏱️ Read time: 11 min read

“Quantum computing just becomes vastly simpler once you take the physics out of it.”
📌 Reinforcement Learning, Part 8: Feature State Construction

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-09-21 | ⏱️ Read time: 17 min read

Enhancing linear methods by smartly incorporating state features into the learning objective
📌 Topic Modelling Your Personal Data

🗂 Category:

🕒 Date: 2024-09-21 | ⏱️ Read time: 29 min read

Using Traditional and Transformer Models to Explore Personal Data Stored by Brokers
📌 TimesFM: The Boom of Foundation Models in Time Series Forecasting

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-09-20 | ⏱️ Read time: 14 min read

Explore How Google’s Latest AI Model Delivers Zero-Shot Forecasting Accuracy Using Over 307 Billion Data…
📌 Paper Walkthrough: U-Net

🗂 Category: DEEP LEARNING

🕒 Date: 2024-09-20 | ⏱️ Read time: 16 min read

A PyTorch implementation on one of the most popular semantic segmentation models.
📌 Choosing Between LLM Agent Frameworks

🗂 Category:

🕒 Date: 2024-09-20 | ⏱️ Read time: 15 min read

Thanks to John Gilhuly for his contributions to this piece. Agents are having a moment.…