Now more than ever, machine learning continues to influence the way in which many operations are handled across various industries. Machine learning algorithms act as the software used by artificial intelligence solutions to help understand the world around them and create data-driven rulesets that result in reliable outcomes. While there are plenty of people that are aware of the ways in which machine learning and artificial intelligence are influencing their lives, there is still some others that have uncertainty regarding these technologies. For those unaware, some of the most common applications of machine learning that you encounter in everyday life are route planning, email spam filtering and social media tagging. When using route planning applications, python libraries are scouring Google Maps Web services with support for everything from the Directions API to the Distance Matrix, Elevation, and Geocoding APIs. In the case of e-mail filtering, machine learning is capable of better detecting and deleting spam emails while allowing legitimate messages to make their way into your inbox. Finally, rather than manually tagging your friends in social media posts, machine learning allows these applications to tag people and objects more accurately. Though it’s clear this work is impressive, there’s actually much more value being derived with the help of machine learning in the world today. For more information about those applications, please read on to the infographic accompanying this post.
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