By Rajashekar, Senior NLP Engineer Last Updated: December 2025 Back in 2015, I spent three weeks writing a complex set of rules just to help a customer support bot understand that “I lost my card” and “Where is my card?” required two totally different responses. It was a nightmare of if/else statements and regular expressions. […]
I’ve Built NLP Systems for 10 Years: Here Is How Computers Actually Read Read Post »
If I had a dollar for every time a client or a stakeholder used “AI” and “Machine Learning” interchangeably in a meeting, I’d have retired to a private island by now. As someone who has spent the last decade building data pipelines and training models—from simple regression scripts to massive deep learning networks—I know the
I still remember the first time I tried to build a “smart” stock predictor back in 2015. I threw a massive Neural Network at a simple spreadsheet of historical prices. The result? It predicted the market would crash every single Tuesday. Why? Because I used a sledgehammer to crack a nut. I was using the
I Deconstructed 50+ Projects to Explain AI Algorithms: A Practical Guide for Non-Coders Read Post »
There is a very specific feeling that hits you about five minutes after you unbox a new iPhone. The hardware is beautiful, the screen is crisp, and you are ready to join the iMessage group chat without being the “green bubble” outcast. But then you look at your trusty, beaten-up Android device sitting on the
The Spinning Wheel of Death There is a very specific type of modern panic that hits when you’re standing at a checkout counter. You’ve got a line of three impatient people behind you, the cashier is staring blankly, and you are frantically tapping your banking app, which has decided—at this exact moment—to freeze. We’ve
If I had a dollar for every time I saw a colleague share their screen, revealing a browser window with 63 microscopic tabs squished together, I’d probably have enough money to buy them more RAM. We live in the browser. It’s not just a portal anymore; it’s the operating system for modern work. We run
For over two decades, I’ve had a front-row seat to the ever-evolving world of PC gaming. From the pixelated delights of early titles to the photorealistic worlds we immerse ourselves in today, it’s been an incredible journey. One question that often pops up in my inbox, and one I’ve seen debated endlessly across forums, is
Let’s just get this out of the way. The first thing everyone says about neural networks is that they’re a “black box”. It’s this magical, unknowable thing that somehow “thinks.” Frankly, that’s not a very helpful way to start. It’s also not entirely true. We do understand, in detail, how they work. We built them.
If you’re confused about the difference between Artificial Intelligence (AI) and Machine Learning (ML), you are in excellent company. I’ve watched CEOs, news reporters, and even tech executives use these terms interchangeably, throwing them around like confetti at a parade. The confusion is so common that it’s become a running joke among us data scientists.
Machine Learning vs AI: Key Differences Explained. Read Post »
