So, I’m back with another blog post and guess what, this one’s about Ruby again. Yes, I know this blog is supposed to be about Rust. But let’s be honest: bending rules is fun, and exploring different ecosystems is how we stay flexible, creative, and happy. I’ve been exploring the Red Data Tools project recently, and I have to […]
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 […]
Data can be called whatever you want,hype, cash, or trash,but it doesn’t change the fact that, in today’s world, data is precious. It might change in the future, but for now, you’ve got to adapt to it. I’m not saying you should add machine learning models to everything or process large datasets for no reason; […]
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! […]
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 […]
Welcome to another statistics article, probably the most frustrating category for me to prepare. Why? Because there’s no code, no practice problems… just plain old text. However, today we have a special guest, and it happens to be the favorite of all machine learning models: Correlation. Machine learning models are essentially algorithms designed to predict […]
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 […]