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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📌 Beyond Requests: Why httpx is the Modern HTTP Client You Need (Sometimes)

🗂 Category: PROGRAMMING

🕒 Date: 2025-10-15 | ⏱️ Read time: 12 min read

A comprehensive comparison of these two Python libraries
📌 How to Build Tools for AI Agents

🗂 Category: AGENTIC AI

🕒 Date: 2025-10-15 | ⏱️ Read time: 10 min read

Learn how to design and build effective tools to be used by AI Agents
📌 Comprehensive Guide to Datasets and Dataloaders in PyTorch

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-06-15 | ⏱️ Read time: 6 min read

The full guide to creating custom datasets and dataloaders for different models in PyTorch
📌 Analyzing Unstructured PDF Data w/ Embedding Models and LLMs

🗂 Category:

🕒 Date: 2024-06-15 | ⏱️ Read time: 8 min read

How to turn PDFs into actionable insights
📌 Simple Model Retraining Automation via GitHub Actions

🗂 Category: EDUCATION

🕒 Date: 2024-06-15 | ⏱️ Read time: 13 min read

Easily streamline your modelling process with the GitHub Actions.
📌 Erasing Clouds from Satellite Imagery Using GANs (Generative Adversarial Networks)

🗂 Category: DEEP LEARNING

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

Building GANs from scratch in python
📌 GPT from Scratch with MLX

🗂 Category: DEEP LEARNING

🕒 Date: 2024-06-15 | ⏱️ Read time: 36 min read

Define and train GPT-2 on your MacBook
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📌 Graph Visualization: 7 Steps from Easy to Advanced

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-15 | ⏱️ Read time: 10 min read

Making visualization with Python, NetworkX, and D3.JS
📌 Gated Recurrent Units (GRU) – Improving RNNs

🗂 Category: ARTIFICIAL INTELLIGENCE

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

Explaining how Gated Recurrent Neural Networks work
📌 Understanding Buffer of Thoughts (BoT) – Reasoning with Large Language Models

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-14 | ⏱️ Read time: 12 min read

New prompt engineering tool for complex reasoning, compared with Chain of thought (CoT) and Tree…
📌 Mapping the Pokemon World: A Network Analysis of Habitat-Based Encounters

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-14 | ⏱️ Read time: 19 min read

An introduction to Network Analysis in Python, along with a practical example using Pokemon data…
📌 CUDA for AI – Intuitively and Exhaustively Explained

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-06-14 | ⏱️ Read time: 58 min read

Parallelized AI from scratch in CUDA
📌 How I’d Become a Data Scientist (If I Had to Start Over)

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-14 | ⏱️ Read time: 12 min read

Roadmap and tips on how to land a job in data science
📌 Beyond AlphaFold: The Future Of LLM in Medicine

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-06-13 | ⏱️ Read time: 17 min read

AlphaFold leaves a complex legacy: What will be the future of LLM in biology and…
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📌 Improving Business Performance with Machine Learning

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-06-13 | ⏱️ Read time: 18 min read

Whether you are a data scientist, analyst, or business analyst, your goal is to deliver…
📌 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,…