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
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πŸ“Œ The Channel-Wise Attention | Squeeze and Excitation

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2025-08-07 | ⏱️ Read time: 22 min read

Applying the Squeeze and Excitation module on ResNeXt using PyTorch
πŸ“Œ The MCP Security Survival Guide: Best Practices, Pitfalls, and Real-World Lessons

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-08-06 | ⏱️ Read time: 30 min read

Unless you’re someone who lives and breathes cybersecurity, chances are you didn’t think much about…
πŸ“Œ How I Won the β€œMostly AI” Synthetic Data Challenge

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-08-06 | ⏱️ Read time: 8 min read

A deep dive into how post-processing can supercharge synthetic data generation
πŸ“Œ The Machine, the Expert, and the Common Folks

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-08-06 | ⏱️ Read time: 15 min read

A look at noise, consistency and broken legs
πŸ“Œ InfiniBand vs RoCEv2: Choosing the Right Network for Large-Scale AI

πŸ—‚ Category: LARGE DATA MODELS

πŸ•’ Date: 2025-08-06 | ⏱️ Read time: 8 min read

Learn how InfiniBand and RoCEv2 enable high-speed GPU communication
πŸ“Œ Context Engineering β€” A Comprehensive Hands-On Tutorial with DSPy

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-08-05 | ⏱️ Read time: 18 min read

Let’s dissect the art and science of context engineering, one module at a time!
πŸ“Œ Things I Wish I Had Known Before Starting ML

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-08-05 | ⏱️ Read time: 6 min read

Part 2: Guardrails, research code, reading
πŸ“Œ How a Research Lab Made Entirely of LLM Agents Developed Molecules That Can Block a Virus

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-08-05 | ⏱️ Read time: 10 min read

Welcome to the 21st century by the hand of large language models and reasoning AI…
πŸ“Œ Stellar Flare Detection and Prediction Using Clustering and Machine Learning

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-08-05 | ⏱️ Read time: 11 min read

Combining unsupervised clustering with supervised learning to detect and predict stellar flares
πŸ“Œ Exploratory Data Analysis: Gamma Spectroscopy in Python (Part 3)

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-08-05 | ⏱️ Read time: 17 min read

Let’s observe the matter on the atomic level
πŸ“Œ Mechanistic View of Transformers: Patterns, Messages, Residual Stream… and LSTMs

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-08-05 | ⏱️ Read time: 7 min read

What happens when you stop concatenating and start decomposing: a new way to think about…
πŸ“Œ From Data Scientist IC to Manager: One Year In

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-08-04 | ⏱️ Read time: 9 min read

Three pillars that shaped my first year in data science managementβ€Š-β€Šprioritization, empowerment, and recognition
πŸ“Œ Introducing Server-Sent Events in Python

πŸ—‚ Category: PROGRAMMING

πŸ•’ Date: 2025-08-04 | ⏱️ Read time: 13 min read

A simpler path to coding real-time web applications.
πŸ“Œ On Adding a Start Value to a Waterfall Chart in Power BI

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-08-04 | ⏱️ Read time: 6 min read

A waterfall chart can be a powerful tool for conveying information. But it has some…
πŸ“Œ Hands-On with Agents SDK: Multi-Agent Collaboration

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-08-04 | ⏱️ Read time: 31 min read

Explore the handoff and agents-as-tools patterns, their use cases, and how to customize them using…
πŸ“Œ Does the Code Work or Not?

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-08-04 | ⏱️ Read time: 7 min read

A common misconception about the working state of code in data, AI or software engineering…
πŸ“Œ Mastering NLP with spaCy – Part 2

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-08-01 | ⏱️ Read time: 7 min read

POS tagging, dependency parser and named entity recognition.
πŸ“Œ How Computers β€œSee” Molecules

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-08-01 | ⏱️ Read time: 29 min read

Generative Molecular Design (Part 1): common molecular representations in data science.
πŸ“Œ β€œI think of analysts as data wizards who help their product teams solve problems”

πŸ—‚ Category: AUTHOR SPOTLIGHTS

πŸ•’ Date: 2025-08-01 | ⏱️ Read time: 10 min read

Mariya Mansurova explains how hands-on learning, agentic AI, and engineering habits shape her writing and…
πŸ“Œ When Models Stop Listening: How Feature Collapse Quietly Erodes Machine Learning Systems

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-08-01 | ⏱️ Read time: 9 min read

Models don’t just fail with noise; they fail in silence, by narrowing their attention to…
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