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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📌 Beyond Model Stacking: The Architecture Principles That Make Multimodal AI Systems Work

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-06-19 | ⏱️ Read time: 16 min read

Transforming Independent Models into Collaborative Intelligence
📌 Understanding Matrices | Part 2: Matrix-Matrix Multiplication

🗂 Category: MATH

🕒 Date: 2025-06-19 | ⏱️ Read time: 15 min read

The physical meaning of multiplying two matrices and how it works on several special matrices.
📌 Implementing the Gaussian Challenge in Python

🗂 Category: PROGRAMMING

🕒 Date: 2025-09-08 | ⏱️ Read time: 5 min read

Beginner-friendly tutorial to understand range function and Python loops
📌 Agentic AI and the Future of Python Project Management Tooling

🗂 Category: AGENTIC AI

🕒 Date: 2025-09-08 | ⏱️ Read time: 10 min read

Introducing a pyramid framework of evolution, accelerating and decelerating factors, and strategic recommendations for incumbents…
📌 From Tokens to Theorems: Building a Neuro-Symbolic AI Mathematician

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-09-08 | ⏱️ Read time: 25 min read

The next Gauss may not be born — they may be spun up in the…
📌 LLM-as-a-Judge: A Practical Guide

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-06-19 | ⏱️ Read time: 16 min read

How to Scale LLM Evaluations Beyond Manual Review
📌 From Configuration to Orchestration: Building an ETL Workflow with AWS Is No Longer a Struggle

🗂 Category: DATA ENGINEERING

🕒 Date: 2025-06-19 | ⏱️ Read time: 7 min read

A step-by-step guide to leverage AWS services for efficient data pipeline automation
📌 Core Machine Learning Skills, Revisited

🗂 Category: THE VARIABLE

🕒 Date: 2025-06-19 | ⏱️ Read time: 3 min read

With all the buzz around agents, LLMs, and the tools they power, it’s sometimes easy…
📌 Beyond Code Generation: Continuously Evolve Text with LLMs

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-06-19 | ⏱️ Read time: 17 min read

Long-running content evolution and an introduction to result analysis
📌 Animating Linear Transformations with Quiver

🗂 Category: DATA VISUALIZATION

🕒 Date: 2025-06-18 | ⏱️ Read time: 8 min read

A useful tool in your quiver
📌 A Multi-Agent SQL Assistant You Can Trust with Human-in-Loop Checkpoint & LLM Cost Control

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-06-18 | ⏱️ Read time: 19 min read

Your very own SQL assistant built with Streamlit, SQLite, & CrewAI
📌 Can We Use Chess to Predict Soccer?

🗂 Category: DATA SCIENCE

🕒 Date: 2025-06-18 | ⏱️ Read time: 29 min read

An adaptation of Elo ratings for soccer implemented in Python
📌 Computer Vision’s Annotation Bottleneck Is Finally Breaking

🗂 Category: SPONSORED CONTENT

🕒 Date: 2025-06-18 | ⏱️ Read time: 8 min read

A Technical Deep Dive into Auto-Labeling
📌 Abstract Classes: A Software Engineering Concept Data Scientists Must Know To Succeed

🗂 Category: DATA SCIENCE

🕒 Date: 2025-06-17 | ⏱️ Read time: 14 min read

Simple concepts that differentiate a professional from amateurs.
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📌 LLaVA on a Budget: Multimodal AI with Limited Resources

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-06-17 | ⏱️ Read time: 8 min read

Let’s get started with multimodality
📌 Apply Sphinx’s Functionality to Create Documentation for Your Next Data Science Project

🗂 Category: DATA SCIENCE

🕒 Date: 2025-06-17 | ⏱️ Read time: 6 min read

Three cases to use the Sphinx tool as a pro
📌 Grad-CAM from Scratch with PyTorch Hooks

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-06-17 | ⏱️ Read time: 16 min read

A hands-on look at an explainable AI (XAI) technique that helps reveal why a convolutional…
📌 Let’s Analyze OpenAI’s Claims About ChatGPT Energy Use

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-06-16 | ⏱️ Read time: 7 min read

ChatGPT uses an average of 0.34 Wh per query, according to a blog post by…
📌 Regularisation: A Deep Dive into Theory, Implementation, and Practical Insights

🗂 Category: DATA SCIENCE

🕒 Date: 2025-06-16 | ⏱️ Read time: 70 min read

A detailed guide on controlling overfitting and increasing the stability of your models.
📌 Build an AI Agent to Explore Your Data Catalog with Natural Language

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-06-16 | ⏱️ Read time: 7 min read

Leverage LLMs to query your Databricks Data Catalog
📌 I Won $10,000 in a Machine Learning Competition — Here’s My Complete Strategy

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-06-16 | ⏱️ Read time: 7 min read

Complete guide to feature selection, threshold optimization, and neural network architecture for ML competitions