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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📌 Stellar Flare Detection and Prediction Using Clustering and Machine Learning

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-08-05 | ⏱️ Read time: 11 min read

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

🗂 Category: DATA SCIENCE

🕒 Date: 2025-08-05 | ⏱️ Read time: 17 min read

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

🗂 Category: ARTIFICIAL INTELLIGENCE

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

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

🗂 Category: DATA SCIENCE

🕒 Date: 2025-08-04 | ⏱️ Read time: 9 min read

Three pillars that shaped my first year in data science management - prioritization, empowerment, and recognition
📌 Introducing Server-Sent Events in Python

🗂 Category: PROGRAMMING

🕒 Date: 2025-08-04 | ⏱️ Read time: 13 min read

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

🗂 Category: DATA SCIENCE

🕒 Date: 2025-08-04 | ⏱️ Read time: 6 min read

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

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 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…
📌 Does the Code Work or Not?

🗂 Category: DATA SCIENCE

🕒 Date: 2025-08-04 | ⏱️ Read time: 7 min read

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

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-08-01 | ⏱️ Read time: 7 min read

POS tagging, dependency parser and named entity recognition.
📌 How Computers “See” Molecules

🗂 Category: DATA SCIENCE

🕒 Date: 2025-08-01 | ⏱️ Read time: 29 min read

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

🗂 Category: AUTHOR SPOTLIGHTS

🕒 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…
📌 When Models Stop Listening: How Feature Collapse Quietly Erodes Machine Learning Systems

🗂 Category: MACHINE LEARNING

🕒 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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📌 FastSAM  for Image Segmentation Tasks — Explained Simply

🗂 Category:

🕒 Date: 2025-07-31 | ⏱️ Read time: 9 min read

Introduction Image segmentation is a popular task in computer vision, with the goal of partitioning…
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📌 How to Benchmark LLMs – ARC AGI 3

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-07-31 | ⏱️ Read time: 8 min read

Learn how to LLMs are benchmarked, and try out the newly released ARC AGI 3
📌 LLMs and Mental Health

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-07-31 | ⏱️ Read time: 19 min read

Are LLMs good or bad for our mental health? It’s more complicated than that.
📌 The ONLY Data Science Roadmap You Need to Get a Job

🗂 Category:

🕒 Date: 2025-07-31 | ⏱️ Read time: 10 min read

Are you looking to become a data scientist and don’t know where to start? In…
📌 July Must-Reads: Scalable AI, Career Insights, and More

🗂 Category: THE VARIABLE

🕒 Date: 2025-07-31 | ⏱️ Read time: 3 min read

Don’t miss the most popular stories of the past month
📌 The Misconception of Retraining: Why Model Refresh Isn’t Always the Fix

🗂 Category: DATA SCIENCE

🕒 Date: 2025-07-30 | ⏱️ Read time: 7 min read

Retraining is easy; knowing when not to is the real challenge. In machine learning, performance…
📌 Confusion Matrix Made Simple: Accuracy, Precision, Recall & F1-Score

🗂 Category: DATA SCIENCE

🕒 Date: 2025-07-30 | ⏱️ Read time: 8 min read

How to evaluate classification models and understand which metric matters the most.
📌 What Is Data Literacy in 2025? It’s Not What You Think

🗂 Category: DATA VISUALIZATION

🕒 Date: 2025-07-30 | ⏱️ Read time: 20 min read

In today’s fast-paced, distraction-heavy world, data literacy isn’t just about understanding charts or analyzing numbers—it’s…
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📌 Automated Testing: A Software Engineering Concept Data Scientists Must Know To Succeed

🗂 Category: DATA SCIENCE

🕒 Date: 2025-07-30 | ⏱️ Read time: 21 min read

Why you should read this article Most data scientists whip up a Jupyter Notebook, play…