As machine learning initiatives advance, there is a need for solid programming supports that are able to adapt to input variety and improve output accuracy. In practice, well-built ML code can make relevant recommendations or identity specific user behavior to help apps provide increased value. Python offers a stable starting platform with clean, user-friendly code that empowers companies to build out key functionality without sacrificing feature or form. Such functionality can be seen by the way of intelligent content recommendations on social media, adaptive translation services offered by applications, various fraud detection and prevention capabilities, predictive communications as seen in autocorrect functionality, and even visual identification possibilities with the help of augmented reality. While these capabilities may seem niche, as they continue to evolve it’s clear that they will provide incredible value in more ways than they currently do. Similarly, as the net widens, python and machine learning will be able to do even more in additional facets of the world. To learn more about these capabilities and more, please continue reading on to the infographic accompanying this post.

Python Programming & Its Importance In Machine Learning provided by Accelebrate, a company offering courses in Python Data Science training