Ryuru 
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 […]
In previous article, we built a basic game analytics dashboard using JavaScript, visualizing static player data like scores and achievements. That was a solid start, but now it’s time to take things further. What if we could go live? Today, we’re pushing that concept further. Instead of showing outdated stats, we’ll build a real-time game […]
Again, I’m doing something that you can also do in Python, but due to my personal preferences, I’m building it in another language. Today, we are creating a game analytics dashboard with JavaScript. I don’t care what people say; I still dislike Python, and that won’t change over the next decade. I don’t mind if […]
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 […]
Data pipelines are cool, but have you ever considered their security? It’s probably a yes, because we’ve been hearing news about unauthorized access to systems and data theft for a long time. So, if you’re in this field, you’ve likely thought about the security of data pipelines at least once. So here you are. Yeah, […]
The Curse of Dimensionality is something that catches a lot of people off guard. More data sounds like a dream: better models, more accurate results, and the potential for big wins. But the reality is that piling on more features and data can backfire. Instead of making things better, it can actually make everything worse, […]