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Benchmarking Tabular Reinforcement Learning Algorithms

Benchmarking Tabular Reinforcement Learning Algorithms

by Dr. Owns | May 6, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support

In the previous posts, we explored Part I of the seminal book Reinforcement Learning by Sutton and Barto [1] (*). In that section, we delved into the three fundamental techniques underlying nearly every modern Reinforcement Learning (RL) algorithm: Dynamic Programming...
Think. Know. Act. How AI’s Core Capabilities Will Shape the Future of Work

Think. Know. Act. How AI’s Core Capabilities Will Shape the Future of Work

by Dr. Owns | May 6, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support

“It is not the strongest of the species that survives, nor the most intelligent, but the one most responsive to change.” – Charles Darwin, Originator of Evolutionary Theory Not long ago, I came across an article about a CEO, who was visibly frustrated with their...
The CNN That Challenges ViT

The CNN That Challenges ViT

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

Introduction The invention of ViT (Vision Transformer) causes us to think that CNNs are obsolete.  But is this really true? It is widely believed that the impressive performance of ViT comes primarily from its transformer-based architecture. However, researchers from...
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...
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