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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📌 The Secret Power of Data Science in Customer Support

🗂 Category: DATA SCIENCE

🕒 Date: 2025-05-30 | ⏱️ Read time: 8 min read

Customer support is a data goldmine. Here’s how to unlock its full potential with data…
📌 Gaining Strategic Clarity in AI

🗂 Category: PRODUCT MANAGEMENT

🕒 Date: 2025-05-30 | ⏱️ Read time: 11 min read

Introducing the AI strategy playbook
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📌 LLM Optimization: LoRA and QLoRA

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-05-30 | ⏱️ Read time: 10 min read

Scalable fine-tuning techniques for large language models
📌 Simulating Flood Inundation with Python and Elevation Data: A Beginner’s Guide

🗂 Category: DATA SCIENCE

🕒 Date: 2025-05-30 | ⏱️ Read time: 7 min read

Visualize flood impact using elevation data
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📌 How to Build an MCQ App

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-05-30 | ⏱️ Read time: 13 min read

Key steps to using RAG for generating MCQs from Wikipedia articles based on user-defined context
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📌 May Must-Reads: Math for Machine Learning Engineers, LLMs, Agent Protocols, and More

🗂 Category: THE VARIABLE

🕒 Date: 2025-05-30 | ⏱️ Read time: 3 min read

A selection of our most-read and -shared articles of the past month
📌 GAIA: The LLM Agent Benchmark Everyone’s Talking About

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-05-29 | ⏱️ Read time: 9 min read

What practitioners need to know about this LLM agent benchmark
📌 A Bird’s Eye View of Linear Algebra: The Basics

🗂 Category: MATH

🕒 Date: 2025-05-29 | ⏱️ Read time: 16 min read

We think basis-free, we write basis-free, but when the chips are down we close the…
📌 A Practical Introduction to Google Analytics

🗂 Category: DATA SCIENCE

🕒 Date: 2025-05-29 | ⏱️ Read time: 10 min read

Learn the key concepts and reports of Google Analytics while practising with the platform
📌 The Hidden Security Risks of LLMs

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-05-29 | ⏱️ Read time: 6 min read

And why self-hosting might be the safer bet
📌 I Transitioned from Data Science to AI Engineering: Here’s Everything You Need to Know

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-05-29 | ⏱️ Read time: 14 min read

A personal guide to the skills, tools, and mindset behind the noscript
📌 The Simplest Possible AI Web App

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-05-29 | ⏱️ Read time: 11 min read

The great simplification experiment
📌 From Data to Stories: Code Agents for KPI Narratives

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-05-29 | ⏱️ Read time: 27 min read

HuggingFace’s smolagents framework in action
📌 Multi-Agent Communication with the A2A Python SDK

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-05-28 | ⏱️ Read time: 9 min read

The Agent Card helps discover agents, but how does communication between agents actually work in…
📌 JAX: Is This Google’s NumPy killer?

🗂 Category: PROGRAMMING

🕒 Date: 2025-05-28 | ⏱️ Read time: 16 min read

Auto differentiation and JIT compilation make a compelling case.
📌 Detecting Malicious URLs Using LSTM and Google’s BERT Models

🗂 Category: DEEP LEARNING

🕒 Date: 2025-05-28 | ⏱️ Read time: 18 min read

A progressive approach to implementing AI-powered webpage detection applications into production
📌 Tree of Thought Prompting: Teaching LLMs to Think Slowly

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-05-28 | ⏱️ Read time: 7 min read

Playing Minesweeper with Augmented Reasoning
📌 Bayesian Optimization for Hyperparameter Tuning of Deep Learning Models

🗂 Category: DEEP LEARNING

🕒 Date: 2025-05-27 | ⏱️ Read time: 12 min read

Explore how Bayesian Optimization outperforms Grid Search in efficiency and performance over binary classification tasks.
📌 How Microsoft Power BI Elevated My Data Analysis and Visualization Workflow

🗂 Category: DATA SCIENCE

🕒 Date: 2025-05-27 | ⏱️ Read time: 8 min read

Explaining useful features every data analyst needs
📌 Reinforcement Learning Made Simple: Build a Q-Learning Agent in Python

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-05-27 | ⏱️ Read time: 11 min read

Inspired by AlphaGo’s Move 37 — learn how agents explore, exploit, and win
📌 Why Regularization Isn’t Enough: A Better Way to Train Neural Networks with Two Objectives

🗂 Category: DEEP LEARNING

🕒 Date: 2025-05-27 | ⏱️ Read time: 32 min read

Why splitting your objectives and your model might be the key to better performance and…