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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📌 Advanced Topic Modeling with LLMs

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-07-21 | ⏱️ Read time: 12 min read

A deep dive into topic modeling by leveraging representation models and generative AI with BERTopic
📌 Three Career Tips For Gen-Z Data Professionals

🗂 Category: DATA SCIENCE

🕒 Date: 2025-07-21 | ⏱️ Read time: 10 min read

Unsolicited pieces of advice on navigating early career challenges
📌 How to Create an LLM Judge That Aligns with Human Labels

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-07-21 | ⏱️ Read time: 14 min read

A hands-on guide to building and validating LLM evaluators
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📌 Exploratory Data Analysis: Gamma Spectroscopy in Python (Part 2)

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-07-18 | ⏱️ Read time: 19 min read

Let’s observe the matter on the atomic level
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📌 The Hidden Trap of Fixed and Random Effects

🗂 Category: DATA SCIENCE

🕒 Date: 2025-07-18 | ⏱️ Read time: 6 min read

My lesson of how blindly over-controlling for noise can erase the effects you are measuring
📌 Gain a Better Understanding of Computer Vision: Dynamic SOLO (SOLOv2) with TensorFlow

🗂 Category: COMPUTER VISION

🕒 Date: 2025-07-18 | ⏱️ Read time: 16 min read

A practical approach to instance segmentation using SOLOv2 and TensorFlow
📌 From Reactive to Predictive: Forecasting Network Congestion with Machine Learning and INT

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-07-18 | ⏱️ Read time: 7 min read

Learn how machine learning can predict network congestion before it happens
📌 TDS Authors Can Now Edit Their Published Articles

🗂 Category: WRITING

🕒 Date: 2025-07-18 | ⏱️ Read time: 3 min read

One of our guiding principles as a publication is that authors’ work remains theirs. This…
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📌 The Age of Self-Evolving AI Is Here

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-07-17 | ⏱️ Read time: 17 min read

How Meta’s latest breakthrough lets models learn, adapt, and improve — all on their own
📌 Estimating Disease Rates Without Diagnosis

🗂 Category: STATISTICS

🕒 Date: 2025-07-17 | ⏱️ Read time: 7 min read

Immune genes as predictors of disease
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📌 Don’t Waste Your Labeled Anomalies: 3 Practical Strategies to Boost Anomaly Detection Performance

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-07-17 | ⏱️ Read time: 15 min read

A few labels go a long way in anomaly detection
📌 Summer Must-Reads: The Data Science Edition

🗂 Category: THE VARIABLE

🕒 Date: 2025-07-17 | ⏱️ Read time: 4 min read

Cool off with some engaging, enlightening reads.
📌 Your 1M+ Context Window LLM Is Less Powerful Than You Think

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-07-17 | ⏱️ Read time: 9 min read

Why working memory is a more important bottleneck than raw context window size
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📌 Midyear 2025 AI Reflection

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-07-16 | ⏱️ Read time: 7 min read

Impressions on agentic AI progress and the AI-2027 Jobocalypse scenario
📌 Exploring Prompt Learning: Using English Feedback to Optimize LLM Systems

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-07-16 | ⏱️ Read time: 11 min read

Prompt learning presents a compelling approach for continuous improvement of AI applications
📌 How to Overlay a Heatmap on a Real Map with Python

🗂 Category: DATA VISUALIZATION

🕒 Date: 2025-07-16 | ⏱️ Read time: 9 min read

Visualizing historical tornado trends
📌 3 Steps to Context Engineering a Crystal-Clear Project

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-07-16 | ⏱️ Read time: 7 min read

Learn three easy steps for gaining an intelligent picture for any project by using the…
📌 The Power of Building from Scratch

🗂 Category: AUTHOR SPOTLIGHTS

🕒 Date: 2025-07-16 | ⏱️ Read time: 5 min read

Mauro Di Pietro discusses building AI agents with open-source tools, bridging theory and practice, and…
📌 Do You Really Need a Foundation Model?

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-07-16 | ⏱️ Read time: 10 min read

LLM or custom model: how should you choose the right solution?
📌 How Metrics (and LLMs) Can Trick You: A Field Guide to Paradoxes

🗂 Category: DATA SCIENCE

🕒 Date: 2025-07-15 | ⏱️ Read time: 8 min read

When numbers lie — and your metrics mislead you
📌 How to Ensure Reliability in LLM Applications

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-07-15 | ⏱️ Read time: 7 min read

Learn how to make your LLM applications more robust