How I discovered ML foundations to sort out a fancy downside
Once I began studying machine studying, I received roughly the identical feeling after I first began finding out pc science. The abundance of data I must seize, too many issues to cowl, completely different ideas, programming languages, design patterns, databases, distributed methods, you title it.
On this article, I’ll attempt to carry an engineering perspective on how I received began with machine studying so as to sort out a textual content classification downside in one of many initiatives I used to be contributing to, but additionally provide you with a glimpse of which answer was used to unravel the issue.
- Why
- ML in a nutshell
- Create a roadmap
One of many causes was to fill an organization bottleneck. As an engineer that’s captivated with fixing issues and startups, I really feel the eagerness to continue to learn new issues and produce new concepts to the desk. On this specific case, it was a bit completely different. The duty in arms implied a technical downside that wanted a complete redesign. As a matter of reality, the technical downside the corporate was going through was associated with textual content classification [1]. In a nutshell, the final word objective was to…