A deeper look at the untold history of p-values and its legacy — Disclaimer: I’ll be putting quotes around certain words, like race, racial measurements”, etc. because not only are these terms loaded with historical discrimination, but “race” is un-scientific. A “race” of people is an un-scientific term. Also, the reader should have a bit of familiarity with p-values, hypothesis testing, and Bayes’…

A spatial perspective to MNIST data, rather than the usual vector-treatment — By 2022, the MNIST dataset has become the “Hello-World” dataset of people entering AI. Hell, it’s probably been that for a few years already. In the usual AI treatment of MNIST––whether loading the data into a neural network, logistic regression, random forest, insert-AI-algorithm-here, each handwritten digit image, with its pixel…

Why prior knowledge is so important for AI systems — Let’s start things off with an optical illusion: the famous grey checkerboard illusion, often shown as an example of optical illusion that fool our brain’s and visual processing system. I want to focus on a specific illusion of the grey checkerboard that’s quite popular involving color and illumination. I want…

Tutorial on deploying model-based AI on imbalanced and missing health data — In this article, I’ll be giving a start-to-finish tutorial overview of applying model-based learning to real-world health data — in my case, carcinoma data. …

What could an environmentally-friendly AI look like in the future? — Disclaimer: This is an opinion piece, and the opinions expressed here only belong to the author. You’re probably asking, “Raveena, just what exactly do you mean by a Green AI?” Well, I guess I did reveal my intention in the italic summary above, but that doesn’t exactly give us a…

Understanding a Random Forest intuitively and predicting diabetes in real hospital patient data — (Disclaimer: This article is mainly for people who want a friendly, intuitive understanding of what’s going on in random forests and decision trees — so I won’t be going into huge mathematical detail. I’ll post some links further below in the article to videos and material if you want to…

How can we create an image classifier system that makes decisions and predictions like a human would? — Image classification is one of the hottest fields of machine learning, data science, and AI, and often used to benchmark certain types of AI algorithms — from logistic regression to deep neural networks. But for now, I want to take your mind away from those hot techniques, and ask ourselves…