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Diffusion Models, Explained Simply

Diffusion Models, Explained Simply

by Dr. Owns | May 5, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support

Introduction Generative AI is one of the most popular terms we hear today. Recently, there has been a surge in generative AI applications involving text, image, audio, and video generation. When it comes to image creation, Diffusion models have emerged as a...
Making Sense of KPI Changes

Making Sense of KPI Changes

by Dr. Owns | May 5, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support

As analysts, we are usually monitoring metrics. Quite often, metrics change. And when they do, it’s our job to figure out what’s going on: why did the conversion rate suddenly drop, or what is driving consistent revenue growth? I started my journey in data analytics...
Fine-Tuning vLLMs for Document Understanding

Fine-Tuning vLLMs for Document Understanding

by Dr. Owns | May 5, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support

In this article, I discuss how you can fine-tune VLMs (visual large language models, often called vLLMs) like Qwen 2.5 VL 7B. I will introduce you to a dataset of handwritten digits, which the base version of Qwen 2.5 VL struggles with. We will then inspect the...
Website Feature Engineering at Scale: PySpark, Python & Snowflake

Website Feature Engineering at Scale: PySpark, Python & Snowflake

by Dr. Owns | May 5, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support

Introduction and Problem Imagine you’re staring at a database containing thousands of merchants across multiple countries, each with its own website. Your goal? Identify the top candidates to partner with in a new business proposal. Manually browsing each site is...
From a Point to L∞

From a Point to L∞

by Dr. Owns | May 2, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support

Why you should read this  As someone who did a Bachelors in Mathematics I was first introduced to L¹ and L² as a measure of Distance… now it seems to be a measure of error — where have we gone wrong? But jokes aside, there seems to be this misconception that L₁ and L₂...
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