📌 Unit Disk Uniform Sampling

🗂 Category: DATA SCIENCE

🕒 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…

📌 How to Implement State-of-the-Art Masked AutoEncoders (MAE)

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-16 | ⏱️ Read time: 8 min read

A Step-by-Step Guide to Building MAE with Vision Transformers

📌 The Data Strategy Choice Cascade

🗂 Category:

🕒 Date: 2024-09-16 | ⏱️ Read time: 23 min read

What your data strategy should look like

📌 Are Foundation Models Ready for Your Production Tabular Data?

🗂 Category: LARGE DATA MODELS

🕒 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…

📌 How to Improve the Efficiency of Your PyTorch Training Loop

🗂 Category: DEEP LEARNING

🕒 Date: 2025-10-01 | ⏱️ Read time: 14 min read

Learn how to diagnose and resolve bottlenecks in PyTorch using the numworkers, pinmemory, and profiler…

📌 Data Visualization Explained (Part 2): An Introduction to Visual Variables

🗂 Category: DATA VISUALIZATION

🕒 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

📌 Visual Pollen Classification Using CNNs and Vision Transformers

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-10-01 | ⏱️ Read time: 19 min read

Filling the data gap: A machine learning approach to pollen identification in ecology and biotechnology

📌 Under the Hood: How DAX Works with Filters

🗂 Category: POWER BI

🕒 Date: 2025-10-01 | ⏱️ Read time: 6 min read

Have you ever wondered how DAX works with filters in Measures? Today, I take a…

📌 Asking for Feedback as a Data Scientist Individual Contributor

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-18 | ⏱️ Read time: 17 min read

Receive clear and useful feedback. Ditch generic questions. More than 60 example questions for you…

📌 Unlocking Business Potential Through Effective Customer Segmentation

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-18 | ⏱️ Read time: 9 min read

Transform your data into actionable insights with customer segmentation for improved engagement and profitability

📌 Introduction to Maximum Likelihood Estimates

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-18 | ⏱️ Read time: 9 min read

Learn about Maximum Likelihood Estimates via their application for next-word prediction

📌 The Mystery Behind the PyTorch Automatic Mixed Precision Library

🗂 Category: DEEP LEARNING

🕒 Date: 2024-09-17 | ⏱️ Read time: 9 min read

How to get 2X speed up model training using three lines of code

📌 Building RAGs Without A Retrieval Model Is a Terrible Mistake

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-17 | ⏱️ Read time: 10 min read

Here are my favorite techniques – one is faster, the other is more accurate.

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📌 GPU Accelerated Polars – Intuitively and Exhaustively Explained

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-09-17 | ⏱️ Read time: 16 min read

Fast Dataframes for Big Problems

📌 Temporal-Difference Learning and the Importance of Exploration: An Illustrated Guide

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-10-01 | ⏱️ Read time: 18 min read

Comparing model-free and model-based RL methods on a dynamic grid world

📌 What Makes a Great Data Business

🗂 Category: BUSINESS

🕒 Date: 2024-09-16 | ⏱️ Read time: 8 min read

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

📌 ASCVIT V1: Automatic Statistical Calculation, Visualization and Interpretation Tool

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-16 | ⏱️ Read time: 38 min read

Automated data analysis made easy: The first version of ASCVIT the tool for statistical calculation,…

📌 OpenAI o1: Is This the Enigmatic Force That Will Reshape Every Knowledge Sector We Know?

🗂 Category: CHATGPT

🕒 Date: 2024-09-16 | ⏱️ Read time: 7 min read

My first encounters with the o1 model

📌 Introducing NumPy, Part 3: Manipulating Arrays

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-15 | ⏱️ Read time: 7 min read

Shaping, transposing, joining, and splitting arrays