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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📌 How Not to Write an MCP Server

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-05-09 | ⏱️ Read time: 13 min read

Five hard lessons learned from my first attempt at leveraging the new MCP technology, a…
📌 Clustering Eating Behaviors in Time: A Machine Learning Approach to Preventive Health

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-05-08 | ⏱️ Read time: 18 min read

How understanding the timing of meals using machine learning can support preventive healthcare
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📌 Model Compression: Make Your Machine Learning Models Lighter and Faster

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-05-08 | ⏱️ Read time: 13 min read

A deep dive into pruning, quantization, distillation, and other techniques to make your neural networks…
📌 ACP: The Internet Protocol for AI Agents

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-05-08 | ⏱️ Read time: 9 min read

ACP aims to be the “HTTP of agent communication,” transforming our current landscape of siloed…
📌 The Dangers of Deceptive Data Part 2–Base Proportions and Bad Statistics

🗂 Category: DATA VISUALIZATION

🕒 Date: 2025-05-08 | ⏱️ Read time: 7 min read

An accessible dive into correlation, base proportions, summary statistics, and uncertainty.
📌 The Shadow Side of AutoML: When No-Code Tools Hurt More Than Help

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-05-08 | ⏱️ Read time: 7 min read

Abstraction is nothing new in software, but in machine learning, abstraction without oversight turns automation…
📌 Pharmacy Placement in Urban Spain

🗂 Category: DATA SCIENCE

🕒 Date: 2025-05-08 | ⏱️ Read time: 22 min read

Identify spatial gaps in the urban pharmacy network suitable for the installation of new pharmacies,…
📌 Generating Data Dictionary for Excel Files Using OpenPyxl and AI Agents

🗂 Category: DATA SCIENCE

🕒 Date: 2025-05-08 | ⏱️ Read time: 10 min read

Automate Excel Documentation with AI: Leveraging OpenPyxl and Generative AI to create data dictionaries. Learn…
📌 Real-Time Interactive Sentiment Analysis in Python

🗂 Category: DATA VISUALIZATION

🕒 Date: 2025-05-07 | ⏱️ Read time: 8 min read

How to visualize sentiment using a procedural smiley face in Python with OpenCV and Tkinter
📌 Uh-Uh, Not Guilty

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-05-07 | ⏱️ Read time: 7 min read

Who will take the blame for AI mistakes, and what can you do about it?
📌 From RGB to HSV — and Back Again

🗂 Category: COMPUTER VISION

🕒 Date: 2025-05-07 | ⏱️ Read time: 7 min read

A practical introduction to color spaces with Python and OpenCV
📌 We Need a Fourth Law of Robotics in the Age of AI

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-05-06 | ⏱️ Read time: 6 min read

Artificial Intelligence has become a mainstay of our daily lives, revolutionizing industries, accelerating scientific discoveries,…
📌 Retrieval Augmented Classification: Improving Text Classification with External Knowledge

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-05-06 | ⏱️ Read time: 11 min read

When and How to best use LLMs as text classifiers
📌 How I Built Business-Automating Workflows with AI Agents

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-05-06 | ⏱️ Read time: 12 min read

How I make money helping businesses boost their productivity and cut costs by automating supply…
📌 The Total Derivative: Correcting the Misconception of Backpropagation’s Chain Rule

🗂 Category: MATH

🕒 Date: 2025-05-06 | ⏱️ Read time: 27 min read

What you think you know about backpropagation might be wrong.
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📌 Make Your Data Move: Creating Animations in Python for Science and Machine Learning

🗂 Category: DATA VISUALIZATION

🕒 Date: 2025-05-06 | ⏱️ Read time: 6 min read

Go beyond static plots with matplotlib.
📌 Benchmarking Tabular Reinforcement Learning Algorithms

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-05-06 | ⏱️ Read time: 27 min read

Comparing all methods from Part I of Sutton’s book on gridworld environments
📌 Think. Know. Act. How AI’s Core Capabilities Will Shape the Future of Work

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-05-06 | ⏱️ Read time: 13 min read

It’s not just about technical depth, it’s about strategic clarity
📌 The CNN That Challenges ViT | ConvNeXt

🗂 Category: DEEP LEARNING

🕒 Date: 2025-05-05 | ⏱️ Read time: 24 min read

A PyTorch implementation on the ConvNeXt architecture
📌 Diffusion Models, Explained Simply

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-05-05 | ⏱️ Read time: 7 min read

From noise to art: how to generate high-quality images using diffusion models
📌 Making Sense of KPI Changes

🗂 Category: DATA SCIENCE

🕒 Date: 2025-05-05 | ⏱️ Read time: 15 min read

A practical guide to understanding what’s really going on