4 Years Later... It Finally Paid Off
Yesterday was one of the best days I've had, and I wanted to share some experiences that I think will help you better understand this world and navigate through it. Since 7th grade, I was that kid who watched countless videos on YouTube, constantly wondering, "How does YouTube even know what I'm watching? Why does Google Search show me results similar to what I wanted to search for?" Being curious but clueless, I decided to search for "How does YouTube work?" I still remember a video by Tom Scott where he explained how they use deep learning and machine learning to suggest videos. This was about 4-5 years ago. While the core principles remain the same, the algorithms have become more robust over time. That’s when I became truly fascinated by machine learning (ML). From that point on, I delved deeper into the field—reading research papers, watching explanatory videos, and learning about deep learning, natural language processing (NLP), and neural networks. It was awesome! My curiosity was insatiable, and I often felt a bit sad that I hadn't discovered these interests earlier. But hey, I know them now, and that's what matters. Simply watching videos and reading papers wasn’t enough to truly understand and apply these concepts, so I started my coding journey. My first programming language was... haha, you’re probably thinking Python, right? Nope, it was HTML. I know, I know—it’s not a programming language. But I was just a kid who didn't quite understand what that meant, so I started with the basics of web development: HTML, CSS, and JavaScript. These aren’t AI-related, but that’s what my brother suggested, so I listened to him. However, my real journey began with Python—the first true programming language I learned. I’ve spent countless hours mastering it. For all those people out there, Python is just normal English! Don’t say you don’t know how to code in Python unless you don’t know English—that’s a different story. Maybe try Bhailang for all you Hindi-speaking folks out there (you know what I mean! 😂).