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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📌 Take a Look Under the hood

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2024-06-13 | ⏱️ Read time: 13 min read

Using Monosemanticity to understand the concepts a Large Language Model learned
📌 Sparse Autoencoders, Additive Decision Trees, and Other Emerging Topics in AI Interpretability

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-13 | ⏱️ Read time: 4 min read

Our weekly selection of must-read Editors’ Picks and original features
📌 My Easy Guide to Pre vs. Post Treatment Tests

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-13 | ⏱️ Read time: 13 min read

A quick introduction to Before and After Tests with code.
📌 AI Agent Unit Testing in Langfuse

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-13 | ⏱️ Read time: 10 min read

Creating a scalable testing solution for AI agents for operation by non-coders
📌 A Python Engineer’s Introduction to 3D Gaussian Splatting (Part 2)

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-06-13 | ⏱️ Read time: 8 min read

Understanding and coding how Gaussian’s are used within 3D Gaussian Splatting
📌 Time Series Regression and Cross-Validation: A Tidy Approach

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-12 | ⏱️ Read time: 8 min read

Step by step guide to EDA, feature engineering, cross validation and model comparison with tidymodels,…
📌 How Many Pokemon Fit?

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-12 | ⏱️ Read time: 10 min read

Finding the best Pokemon team by modeling and solving a knapsack problem with PokeAPI and…
📌 Feature Detection, Part 1: Image Derivatives, Gradients, and Sobel Operator

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-10-16 | ⏱️ Read time: 11 min read

Applying calculus fundamentals to computer vision for edge detection
📌 Stop Feeling Lost :  How to Master ML System Design

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-10-16 | ⏱️ Read time: 6 min read

What machine learning system design is and how to prepare for it
📌 A Beginner’s Guide to Robotics with Python

🗂 Category: ROBOTICS

🕒 Date: 2025-10-16 | ⏱️ Read time: 9 min read

Build 3D simulations with PyBullet
📌 How to Evaluate Retrieval Quality in RAG Pipelines: Precision@k, Recall@k, and F1@k

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-10-16 | ⏱️ Read time: 18 min read

In my previous posts, I have walked you through putting together a very basic RAG…
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📌 Simplifying the Python Code for Data Engineering Projects

🗂 Category: DATA ENGINEERING

🕒 Date: 2024-06-12 | ⏱️ Read time: 12 min read

Python tricks and techniques for data ingestion, validation, processing, and testing: a practical walkthrough
📌 Model Interpretability Using Credit Card Fraud Data

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-12 | ⏱️ Read time: 20 min read

Why model interpretability is important
📌 How to Pivot Tables in SQL

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-12 | ⏱️ Read time: 12 min read

A comprehensive guide to creating pivot tables in SQL for enhanced data analysis
📌 The Math Behind KAN – Kolmogorov-Arnold Networks

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-12 | ⏱️ Read time: 15 min read

A new alternative to the classic Multi-Layer Perceptron is out. Why is it more accurate…
📌 Spatial Index: Grid Systems

🗂 Category: DATABASE DESIGN

🕒 Date: 2024-06-12 | ⏱️ Read time: 12 min read

Grid Systems in Spatial Indexing using GeoHash and Google S2
📌 Deep Learning Illustrated, Part 4: Recurrent Neural Networks

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-06-11 | ⏱️ Read time: 17 min read

An illustrated and intuitive guide on the inner workings of an RNN and the Softmax…
📌 ASA’s Caution: Rethinking How We Use p-Values in Research

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-11 | ⏱️ Read time: 9 min read

Understanding the ASA’s statement to enhance your data science practices
📌 MLOps – Data Validation with PyTest

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-11 | ⏱️ Read time: 12 min read

Run deterministic and non-deterministic tests to validate your dataset
📌 An Open Data-Driven Approach to Optimising Healthcare Facility Locations Using Python

🗂 Category:

🕒 Date: 2024-06-11 | ⏱️ Read time: 15 min read

A tutorial in Python with an open data stack
📌 Key Roles in a Fraud Prediction project with Machine Learning

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-06-11 | ⏱️ Read time: 6 min read

What type of roles are involved in developing a ML model for fraud prediction?
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