Hehe, yes, I’m back! The guy who’s adding Rust to everything, because why not? It’s fun! I’m not saying what I do is always the best, but I do believe it’s worth giving a shot sometimes. TensorFlow.js isn’t something I’ve tried for very long, and WASM… Okay, actually, I still haven’t used it much. But […]
In the previous article, I created a simple linear regression model, but I skipped the dataset splitting part. One of the readers pointed out that it’s crucial, and I shouldn’t have skipped it, even for that example. So now, I’m preparing this support article to address that request. Later, I’ll connect this article to the […]
Rust? Yes, Rust. Not even I, the one writing this article, am familiar with the language, if we don’t count this past week. So why am I writing about it with such limited knowledge? Well, first of all, it’s my blog, and I can write whatever I want. Secondly, the Linfa library looks pretty sick! […]
Maybe it’s your first time hearing the term “synthetic data.” What could it be? Synthetic data is like fuel for your ML models, made from non-organic materials. Okay, jokes aside, what actually is synthetic data? It’s a little complex, but in simple terms, it’s artificially generated data that mimics real data. First, we tried to […]
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 […]
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 […]
Machine learning models are omnipresent, powering recommendation systems, fraud detection, medical imaging, and more. However, while we obsess over accuracy and performance, we often overlook a critical aspect: security. ML models are vulnerable to hacking (as expected), poisoning, reverse-engineering, and exploitation. Alarmingly, many engineers remain unaware of these threats. Therefore, we prepared this article to […]
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 […]
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 […]