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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📌 Things I Wish I Had Known Before Starting ML

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-07-22 | ⏱️ Read time: 9 min read

Part 1: Data, Sales Pitches, Bugs, and Breakthroughs
📌 A Well-Designed Experiment Can Teach You More Than a Time Machine!

🗂 Category: DATA SCIENCE

🕒 Date: 2025-07-22 | ⏱️ Read time: 7 min read

How experimentation is more powerful than knowing counterfactuals
📌 From Rules to Relationships: How Machines Are Learning to Understand Each Other

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-07-22 | ⏱️ Read time: 6 min read

Using knowledge graphs to handle the unexpected in semantic communication
📌 What Optimization Terminologies for Linear Programming Really Mean

🗂 Category: DATA SCIENCE

🕒 Date: 2025-07-22 | ⏱️ Read time: 11 min read

Understanding the duality of optimization problem, primal to dual conversion, and the optimality conditions for…
📌 Understanding Matrices | Part 3: Matrix Transpose

🗂 Category: MATH

🕒 Date: 2025-07-22 | ⏱️ Read time: 13 min read

Visualizing matrix transposition, to make sense of transpose-related formulas.
📌 When LLMs Try to Reason: Experiments in Text and Vision-Based Abstraction

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-07-22 | ⏱️ Read time: 21 min read

Can large language models learn to reason abstractly from just a few examples? In this…
📌 How To Significantly Enhance LLMs by Leveraging Context Engineering

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-07-21 | ⏱️ Read time: 11 min read

The benefits and practical aspects of context engineering for LLMs
📌 I Analysed 25,000 Hotel Names and Found Four Surprising Truths

🗂 Category: DATA SCIENCE

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

Why are there so many hotels named after cities they are not in? Follow along…
📌 Hands‑On with Agents SDK: Your First API‑Calling Agent

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-07-21 | ⏱️ Read time: 16 min read

A practical, beginner‑friendly guide to building an AI weather assistant with Python, OpenAI Agents SDK,…
📌 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.