After I began studying machine studying, I bought roughly the identical feeling once I first began finding out pc science. The abundance of knowledge I have to seize, too many issues to cowl, completely different ideas, programming languages, design patterns, databases, distributed methods, you identify it.
On this article, I’ll attempt to convey an engineering perspective on how I bought began with machine studying to be able to sort out a textual content classification drawback in one of many tasks I used to be contributing to, but additionally provide you with a glimpse of which answer was used to resolve 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 obsessed 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 explicit case, it was a bit completely different. The duty in arms implied a technical drawback that wanted a complete redesign. As a matter of reality, the technical drawback the corporate was going through was associated with textual content classification [1]. In a nutshell, the last word objective was to…
