Machine Learning
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Real Machine Learning β€” simple, practical, and built on experience.
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Admin: @HusseinSheikho || @Hussein_Sheikho
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πŸ“Œ Introducing NumPy, Part 4: Doing Math with Arrays

πŸ—‚ Category:

πŸ•’ Date: 2024-09-16 | ⏱️ Read time: 12 min read

Plus reading and writing array data!
πŸ“Œ Disability, Accessibility, and AI

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-09-16 | ⏱️ Read time: 11 min read

A discussion of how AI can help and harm people with disabilities
πŸ“Œ Teaching Your Model to Learn from Itself

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-09-16 | ⏱️ Read time: 6 min read

In machine learning, more data leads to better results. But labeling data can be expensive…
πŸ“Œ Vision Mamba: Like a Vision Transformer but Better

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-09-16 | ⏱️ Read time: 26 min read

Part 4 – Towards Mamba State Space Models for Images, Videos and Time Series
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πŸ“Œ Unit Disk Uniform Sampling

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-09-16 | ⏱️ Read time: 15 min read

Discover the optimal transformations to apply on the standard 0,1 uniform random generator for uniformly…
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πŸ“Œ How to Implement State-of-the-Art Masked AutoEncoders (MAE)

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-09-16 | ⏱️ Read time: 8 min read

A Step-by-Step Guide to Building MAE with Vision Transformers
πŸ“Œ The Data Strategy Choice Cascade

πŸ—‚ Category:

πŸ•’ Date: 2024-09-16 | ⏱️ Read time: 23 min read

What your data strategy should look like
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πŸ“Œ Are Foundation Models Ready for Your Production Tabular Data?

πŸ—‚ Category: LARGE DATA MODELS

πŸ•’ Date: 2025-10-01 | ⏱️ Read time: 15 min read

A complete review of architectures to make zero-shot predictions in the most common types of…
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πŸ“Œ How to Improve the Efficiency of Your PyTorch Training Loop

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2025-10-01 | ⏱️ Read time: 14 min read

Learn how to diagnose and resolve bottlenecks in PyTorch using the numworkers, pinmemory, and profiler…
πŸ“Œ Data Visualization Explained (Part 2): An Introduction to Visual Variables

πŸ—‚ Category: DATA VISUALIZATION

πŸ•’ Date: 2025-10-01 | ⏱️ Read time: 7 min read

A non-technical and accessible guide to the underlying concept behind visual design: visual encoding channels
πŸ“Œ Visual Pollen Classification Using CNNs and Vision Transformers

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-10-01 | ⏱️ Read time: 19 min read

Filling the data gap: A machine learning approach to pollen identification in ecology and biotechnology
πŸ“Œ Under the Hood: How DAX Works with Filters

πŸ—‚ Category: POWER BI

πŸ•’ Date: 2025-10-01 | ⏱️ Read time: 6 min read

Have you ever wondered how DAX works with filters in Measures? Today, I take a…
πŸ“Œ Asking for Feedback as a Data Scientist Individual Contributor

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-09-18 | ⏱️ Read time: 17 min read

Receive clear and useful feedback. Ditch generic questions. More than 60 example questions for you…
πŸ“Œ Unlocking Business Potential Through Effective Customer Segmentation

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-09-18 | ⏱️ Read time: 9 min read

Transform your data into actionable insights with customer segmentation for improved engagement and profitability
πŸ“Œ Introduction to Maximum Likelihood Estimates

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-09-18 | ⏱️ Read time: 9 min read

Learn about Maximum Likelihood Estimates via their application for next-word prediction
πŸ“Œ The Mystery Behind the PyTorch Automatic Mixed Precision Library

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2024-09-17 | ⏱️ Read time: 9 min read

How to get 2X speed up model training using three lines of code
πŸ“Œ Building RAGs Without A Retrieval Model Is a Terrible Mistake

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-09-17 | ⏱️ Read time: 10 min read

Here are my favorite techniques – one is faster, the other is more accurate.
πŸ“Œ GPU Accelerated Polars – Intuitively and Exhaustively Explained

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-09-17 | ⏱️ Read time: 16 min read

Fast Dataframes for Big Problems
πŸ“Œ Temporal-Difference Learning and the Importance of Exploration: An Illustrated Guide

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-10-01 | ⏱️ Read time: 18 min read

Comparing model-free and model-based RL methods on a dynamic grid world
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πŸ“Œ What Makes a Great Data Business

πŸ—‚ Category: BUSINESS

πŸ•’ Date: 2024-09-16 | ⏱️ Read time: 8 min read

Including an easy-to-use data business evaluation cheat sheet