How I learned the basics of ML to tackle a complex problem
When I started learning machine learning, I had more or less the same feeling when I started learning computer science. So much information I need to capture, so many things to integrate, different concepts, programming languages, design patterns, databases, distributed systems, you name it.
In this article, I will try to bring an engineering perspective on how I started with machine learning to deal with a text segmentation problem in one of the projects I was contributing to, but also give you a glimpse of what solution was used to solve the problem.
- Why
- ML for short
- Create a road
One of the reasons was to fill the company's bottle. As an engineer with a passion for solving problems and startups, I feel eager to keep learning new things and bringing new ideas to the table. In this case, it was a little different. The task at hand meant a technical problem that required a complete redesign. In fact, the technical problem the company was facing was related text classification [1]. In short, the main objective was to…
