Programmers Should Get Into Machine Learning

Last Updated on June 7, 2016

Programmers should get involved in the field of machine learning because they are uniquely skilled to make huge contributions.

In this post you will learn that as a programmer it can be easy to overlook the skills you have and overvalue those things you don’t know. You will learn about four opportunities for programmers to start making an impact in the field of machine learning almost immediately.

Professional Development Practices

The discipline of professional software development (or software engineering if you like that term) is all about how to the design, implementation and maintenance of reliable software systems that solve problems. Your skills as a developer are valuable and you can apply them to the field of machine learning.

Here are some examples:

• Structure: When developing software, you structure a project. For example, there is a directory for source code, one for assets, one for documentation, and if you’re using a compiled language you have a directory for binaries. Using a well defined structure for a software development project is a best practice that introduces separation and consistency that supports collaboration. Anyone on the project will know where to make contributions to
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