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 […]
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, […]
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 […]
Categories
Swift Outside the Apple Ecosystem
I know this article is a bit off-topic from our usual blog content, but I’m really passionate about the Swift programming language and wanted to share my thoughts. Specifically, I want to talk about the future of Swift outside the Apple ecosystem, not just on macOS, iOS, or iPadOS, but in broader areas like server-side […]
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 […]
SQL is still the most commonly used query language. Many people use it for analysis tasks, such as searching for a specific user in a database, exporting rows to Excel, and grouping categories, among others. However, in data engineering, SQL is not just a tool for data analysis; it plays a key role in building […]
Multi-panel plots are a go-to tool for data analysts and scientists. Whether you’re comparing model outputs, segmenting behavioral trends, or tracking multiple time series, breaking a figure into subplots is often the fastest way to present a lot of information at once. But there’s a catch: just because something fits on a page doesn’t mean […]
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 […]
Many people jump straight into building models, eager to extract insights or maximize accuracy. However, without a proper data pipeline to clean, structure, and process your data, your model will either fail or produce results that look good but are misleading. The Messy Truth About Real-World Data In an ideal world, data would be clean, […]