This article is a brief introduction to the Ruby programming language and its philosophy, and why it can be a good option for AI. To be honest, the main reason I wrote this article is to talk about Ruby and its philosophy. But since my blog focuses on AI and data science, I also wanted […]
I finally finished another year of college, and I’m excited to share my experiences. This year was different for me because I heavily relied on AI tools, not just for writing code, but also for automating tedious university emails. One of the most valuable lessons I learned in university wasn’t about operating systems or data […]
For the past decade, the world has heard one resounding piece of advice: “Learn to code!” But let’s face it, this advice hasn’t been universally useful. For some, it’s just plain irrelevant. Not everyone needs to know how to code, and not everyone can excel at it. Yes, it’s a hard truth, but the reality […]
Yeah, there are a lot of things happening in the world, and there’s some interesting news about OpenAI’s defense deal with the U.S. Army. You can check the details of this deal here. Our topic today isn’t politics or ethics. Instead, our article will focus on how OpenAI’s services can be utilized in military operations […]
I just finished my Swift article and now I’m releasing another post about the Apple ecosystem. However, that doesn’t mean I’ll be focusing on the Apple ecosystem the whole time; I just wanted to provide an overview of Apple’s AI privacy methods. Apple’s private cloud computing isn’t something new, but it’s also not an old […]
The model had all the right ingredients: clean training data, carefully selected features, and performance metrics that looked solid on paper. It was designed to predict user retention, and in a controlled evaluation setting, it performed well. But in production, cracks started to appear. Power users were being misclassified as likely to churn. Casual users […]
Data doesn’t just magically become useful. Whether you’re building dashboards, feeding machine learning models, or just trying to get a cleaner look at last quarter’s sales, you need data that’s structured, clean, and actually means something. And that’s where transformation comes in, particularly through ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes. But […]
Let’s be honest. Few things are more misleading in machine learning than a model showing 99% (or even 100%) accuracy because of overfitting. On paper, that number looks great. But just like a first date that feels a little too perfect, something usually feels off. And most of the time, it is. That shiny accuracy […]
Let’s talk about data. It’s everywhere right now, right? The term has become synonymous with the tech boom of the 2020s. But here’s the catch, data isn’t something we just discovered. It’s always been essential. The real shift? How accessible it has become today, thanks to the massive strides in AI and machine learning. Before […]