Machine Learning
39.4K subscribers
4.36K photos
40 videos
50 files
1.42K links
Real Machine Learning β€” simple, practical, and built on experience.
Learn step by step with clear explanations and working code.

Admin: @HusseinSheikho || @Hussein_Sheikho
Download Telegram
πŸ“Œ Using Power BI for Planning (Warehouse) with Stock Values

πŸ—‚ Category:

πŸ•’ Date: 2024-06-18 | ⏱️ Read time: 11 min read

How can we use Power BI to plan for the future using Stock-Measures? Here, I…
πŸ“Œ First Principles Thinking for Data Scientists

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-10-15 | ⏱️ Read time: 7 min read

The mindset that turns good data scientists into great ones
πŸ“Œ Prompt Engineering for Time-Series Analysis with Large Language Models

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-10-15 | ⏱️ Read time: 9 min read

Part 1: Prompts for Core Strategies in Time-Series
πŸ“Œ Beyond Requests: Why httpx is the Modern HTTP Client You Need (Sometimes)

πŸ—‚ Category: PROGRAMMING

πŸ•’ Date: 2025-10-15 | ⏱️ Read time: 12 min read

A comprehensive comparison of these two Python libraries
πŸ“Œ How to Build Tools for AI Agents

πŸ—‚ Category: AGENTIC AI

πŸ•’ Date: 2025-10-15 | ⏱️ Read time: 10 min read

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

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-06-15 | ⏱️ Read time: 6 min read

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

πŸ—‚ Category:

πŸ•’ Date: 2024-06-15 | ⏱️ Read time: 8 min read

How to turn PDFs into actionable insights
πŸ“Œ Simple Model Retraining Automation via GitHub Actions

πŸ—‚ Category: EDUCATION

πŸ•’ Date: 2024-06-15 | ⏱️ Read time: 13 min read

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

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2024-06-15 | ⏱️ Read time: 12 min read

Building GANs from scratch in python
πŸ“Œ GPT from Scratch with MLX

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2024-06-15 | ⏱️ Read time: 36 min read

Define and train GPT-2 on your MacBook
❀1
πŸ“Œ Graph Visualization: 7 Steps from Easy to Advanced

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-06-15 | ⏱️ Read time: 10 min read

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

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-06-15 | ⏱️ Read time: 11 min read

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

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-06-14 | ⏱️ Read time: 12 min read

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

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-06-14 | ⏱️ Read time: 19 min read

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

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2024-06-14 | ⏱️ Read time: 58 min read

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

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-06-14 | ⏱️ Read time: 12 min read

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

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-06-13 | ⏱️ Read time: 17 min read

AlphaFold leaves a complex legacy: What will be the future of LLM in biology and…
πŸ‘1
πŸ“Œ Improving Business Performance with Machine Learning

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2024-06-13 | ⏱️ Read time: 18 min read

Whether you are a data scientist, analyst, or business analyst, your goal is to deliver…
πŸ“Œ Take a Look Under the hood

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2024-06-13 | ⏱️ Read time: 13 min read

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

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-06-13 | ⏱️ Read time: 4 min read

Our weekly selection of must-read Editors’ Picks and original features