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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📌 Every Step of the Machine Learning Life Cycle Simply Explained

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-26 | ⏱️ Read time: 18 min read

A comprehensive guide to the ML life cycle with examples in Python
📌 RAGOps Guide: Building and Scaling Retrieval Augmented Generation Systems

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-11-26 | ⏱️ Read time: 28 min read

The Architecture, Operational Layers, and Best Practices for Effective RAG Implementation
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📌 The Economics of Artificial Intelligence – what does automation mean for workers?

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-11-25 | ⏱️ Read time: 40 min read

Despite tremendous progress in AI, the economic implications of AI remain inadequately understood, with unsatisfactory…
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📌 LLMs.txt Explained

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-11-28 | ⏱️ Read time: 6 min read

Your guide to the web’s new LLM-ready content standard
📌 An Interactive Guide to 4 Fundamental Computer Vision Tasks Using Transformers

🗂 Category: COMPUTER VISION

🕒 Date: 2025-09-19 | ⏱️ Read time: 14 min read

An overview of 4 fundamental computer vision tasks – image classification, image segmentation, image captioning…
📌 How to Select the 5 Most Relevant Documents for AI Search

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-09-19 | ⏱️ Read time: 10 min read

Improve the document retrieval step of your RAG pipeline
📌 How Can Self-Driving Cars Work Better?

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-28 | ⏱️ Read time: 8 min read

The far-reaching implications of Waymo’s EMMA and other end-to-end driving systems
📌 How to Transition from Engineering to Data Science

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-27 | ⏱️ Read time: 7 min read

AI for engineers: experience of an engineering graduate
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📌 How to Prune LLaMA 3.2 and Similar Large Language Models

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2024-11-27 | ⏱️ Read time: 17 min read

This article presents a structured pruning technique for state-of-the-art models, that uses a GLU architecture,…
📌 AI Agents in Networking Industry

🗂 Category:

🕒 Date: 2024-11-27 | ⏱️ Read time: 11 min read

AI Agents for deploying, configuring and monitoring Networks
📌 Effortless Data Handling: Find Variables Across Multiple Data Files with R

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-27 | ⏱️ Read time: 8 min read

A practical solution with code and workflow
📌 Level Up Your Coding Skills with Python Threading

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-27 | ⏱️ Read time: 8 min read

Learn how to use queues, daemon threads, and events in a Machine Learning project
📌 How to Develop an Effective AI-Powered Legal Assistant

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-11-27 | ⏱️ Read time: 13 min read

Create a machine-learning-based search into legal decisions
📌 Roadmap to Becoming a Data Scientist, Part 1: Maths

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-27 | ⏱️ Read time: 13 min read

Identifying fundamental math skills to master for aspiring Data Scientists
📌 Introducing the New Anthropic PDF Processing API

🗂 Category: DATA ENGINEERING

🕒 Date: 2024-11-27 | ⏱️ Read time: 8 min read

Anthropic Claude 3.5 now understands PDF input
📌 Use Tablib to Handle Simple Tabular Data in Python

🗂 Category:

🕒 Date: 2024-11-27 | ⏱️ Read time: 13 min read

Sometimes a Shallow Abstraction is more Valuable than Performance
📌 Saving Pandas DataFrames Efficiently and Quickly – Parquet vs Feather vs ORC vs CSV

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-27 | ⏱️ Read time: 15 min read

Speed, RAM, size and convenience. Which storage method is best?
📌 A Story of Long Tails: Why Uncertainty in Marketing Mix Modelling is Important

🗂 Category: MARKETING

🕒 Date: 2024-11-27 | ⏱️ Read time: 30 min read

"Details matter. It’s worth waiting to get it right." — Steve Jobs What if the…
📌 Deploying a PICO Extractor in Five Steps

🗂 Category: NATURAL LANGUAGE PROCESSING

🕒 Date: 2025-09-19 | ⏱️ Read time: 8 min read

Lessons learned deploying a domain-specific NER model
📌 Building a Knowledge Graph From Scratch Using LLMs

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-11-25 | ⏱️ Read time: 46 min read

Turn your Pandas Data Frame into a Knowledge Graph using LLMs. Build your own LLM…
📌 Dog Poop Compass: Bayesian Analysis of Canine Business

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-25 | ⏱️ Read time: 23 min read

A Bayesian analysis of canine business