Machine Learning – Telegram
Machine Learning
39.3K subscribers
3.86K photos
32 videos
42 files
1.31K links
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
Download Telegram
📌 A Design Researcher’s Guide to Publishing

🗂 Category: DESIGN

🕒 Date: 2024-12-15 | ⏱️ Read time: 10 min read

Turn ‘publish or perish’ into ‘learn, write, and share’
📌 Let’s Learn a Little About Computer Vision via Sudoku

🗂 Category:

🕒 Date: 2024-12-14 | ⏱️ Read time: 9 min read

Solving Sudoku is a fun challenge for coding, and adding computer vision to populate the…
📌 Ranking Basics: Pointwise, Pairwise, Listwise

🗂 Category: DATA SCIENCE

🕒 Date: 2024-12-14 | ⏱️ Read time: 8 min read

Because thy neighbour matters
📌 Agentic AI: Building Autonomous Systems from Scratch

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-12-13 | ⏱️ Read time: 16 min read

A Step-by-Step Guide to Creating Multi-Agent Frameworks in the Age of Generative AI
1
📌 How I’d Learn AI in 2025 (If I Could Start Over)

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-12-13 | ⏱️ Read time: 7 min read

A 5-step roadmap for today’s landscape
📌 Efficient Large Dimensional Self-Organising Maps with PyTorch

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-12-13 | ⏱️ Read time: 6 min read

Because it’s fun to self-organise
📌 Addressing the Butterfly Effect: Data Assimilation Using Ensemble Kalman Filter

🗂 Category:

🕒 Date: 2024-12-13 | ⏱️ Read time: 9 min read

Learn how to implement the Ensemble Kalman Filter for data assimilation, with mathematical details step-by-step…
1
📌 I’m Doing the Advent of Code 2024 in Python – Day 3

🗂 Category: DATA SCIENCE

🕒 Date: 2024-12-13 | ⏱️ Read time: 5 min read

Let’s see how many stars we’ll collect.
1
📌 Bayes’ Theorem: Understanding Business Outcomes with Evidence

🗂 Category: DATA SCIENCE

🕒 Date: 2024-12-12 | ⏱️ Read time: 11 min read

A practical introduction to Bayes’ Theorem: Probability for Data Science Series (2)
📌 Why Retrieval-Augmented Generation Is Still Relevant in the Era of Long-Context Language Models

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-12-12 | ⏱️ Read time: 7 min read

In this article we will explore why 128K tokens and more models can’t fully replace…
📌 CV VideoPlayer – Once and For All

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-12-12 | ⏱️ Read time: 6 min read

A Python video player package made for computer vision research
📌 Why “AI Can’t Reason” Is a Bias

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-12-12 | ⏱️ Read time: 11 min read

We humans are proud creatures
📌 SQLite in Production: Dreams Becoming Reality

🗂 Category:

🕒 Date: 2024-12-12 | ⏱️ Read time: 12 min read

On the virtues of radical simplicity
📌 The Economics of Artificial Intelligence, Causal Tools, ChatGPT’s Impact, and Other Holiday Reads

🗂 Category: CHATGPT

🕒 Date: 2024-12-12 | ⏱️ Read time: 5 min read

Our weekly selection of must-read Editors’ Picks and original features
📌 Data Valuation – A Concise Overview

🗂 Category: DATA SCIENCE

🕒 Date: 2024-12-12 | ⏱️ Read time: 11 min read

ChatGPT and similar LLMs were trained on insane amounts of data. OpenAI and Co. scraped…
📌 Extracting Structured Vehicle Data from Images

🗂 Category:

🕒 Date: 2025-01-27 | ⏱️ Read time: 10 min read

Build an Automated Vehicle Documentation System that Extracts Structured Information from Images, using OpenAI API,…
1
📌 Beyond Causal Language Modeling

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-01-27 | ⏱️ Read time: 7 min read

A deep dive into “Not All Tokens Are What You Need for Pretraining”
📌 Data-Driven Decision Making with Sentiment Analysis in R

🗂 Category: NATURAL LANGUAGE PROCESSING

🕒 Date: 2025-01-21 | ⏱️ Read time: 15 min read

Leveraging the Quanteda, Textstem and Sentimentr Packages to Extract Customer Insights and Enhance Business Strategy
📌 Analysis of Sales Shift in Retail with Causal Impact: A Case Study at Carrefour

🗂 Category: DATA SCIENCE

🕒 Date: 2025-09-17 | ⏱️ Read time: 12 min read

Applying causal inference to measure the effect of product unavailability on retail sales at Carrefour
2
📌 RAG Explained: Understanding Embeddings, Similarity, and Retrieval

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-09-17 | ⏱️ Read time: 10 min read

Let’s take a closer look at how the retrieval mechanism works
📌 Evaluating Your RAG Solution

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-09-17 | ⏱️ Read time: 15 min read

A guide to building and evaluating RAG solutions by leveraging LLM-as-a-Judge capabilities.